BROUGHT TO YOU BY COMUNICANO
The Discovery Layer for Sports-Tech Infrastructure.
The premier directory of APIs and MCP servers for sports organizations, venues, arenas, stadiums, and allied industries. Find the right integration for your next build.
LAST UPDATED: 3 minutes ago
Racquet & Net Sports
Python project for ATP tennis rankings data collection, analysis, visualization, and AI integration via MCP.
View details →Multi-Sport
Official MCP server for BALLDONTLIE covering NBA, WNBA, NFL, MLB, NHL, EPL, NCAAF, NCAAB, MMA, CS2, League of Legends, Dota 2, FIFA World Cup 2026, La Liga, Serie A, Champions League, Bundesliga, and Ligue 1. Supports 200+ data endpoints across 15 leagues. Can be used as hosted server (mcp.balldontlie.io) or run locally. Requires BALLDONTLIE API key.
View details →Venue Operations
FastMCP server for campus sports court reservation and cancellation automation, exposing reservation and cancellation tools for AI agents and MCP clients.
View details →Ice Hockey (NHL)
MCP server that provides player and club statistics for EA Sports NHL CHEL (EASHL) by querying EA's Pro Clubs API.
View details →Multi-sport livescore and standings
Fast and reliable multi-sport livescore API covering soccer, basketball, hockey, baseball, and American football. Provides livescore feeds, lineups, standings, live stats, and fixtures from major worldwide leagues in an easy-to-integrate JSON format. Also available on RapidAPI.
Highlights
The American Football & Basketball Highlights API provides real-time video highlight feeds for NFL, NCAA, and basketball games. Designed for sports media companies, developers, and content creators, it allows users to access dynamic highlights, enhancing engagement and delivering timely sports content. Licensing varies based on usage, making it adaptable for various applications.
Global football data via API-Football, exposed as MCP tools for AI assistants
Python-based MCP server implementing the Model Context Protocol for football (soccer) statistics and live match data using the API-Football service. Provides fixtures, live scores, standings, player stats, and historical data across global leagues.
Browse and subscribe to APIs on APILayer’s marketplace across categories (including Sports).
Official MCP server for BALLDONTLIE covering NBA, WNBA, NFL, MLB, NHL, EPL, NCAAF, NCAAB, MMA, CS2, League of Legends, Dota 2, FIFA World Cup 2026, La Liga, Serie A, Champions League, Bundesliga, and Ligue 1. Supports 200+ data endpoints across 15 leagues. Can be used as hosted server (mcp.balldontlie.io) or run locally. Requires BALLDONTLIE API key.
Sports data platform (multi-league)
Official MCP server for BALLDONTLIE API, exposing tools for multi-league sports data (teams, players, games, stats, etc.) via MCP.
Multi-league sports data (BALLEDONTLIE API)
Official MCP server for BALLDONTLIE API, exposing tools for multi-league sports data (teams, players, games, stats, etc.) via MCP.
Football,Basketball,Hockey,Baseball,Soccer
Affordable Sportradar alternative offering free NFL, NBA, NHL, MLB & Soccer odds, stats, injuries, schedules & news. Self-serve setup — no sales calls, no $500/month minimums, live in 30 seconds.
Multi-sport provider
The Data Sports Group API provides live scores, statistics, and widgets for over 80 sports and more than 5,000 competitions. It is designed for B2B clients such as sports organizations, media companies, and developers seeking to integrate comprehensive sports data into their platforms. Paid licensing options are available, along with free trial opportunities.
Multi-sport
Multi-Sport
MCP Server wrapping ESPN public endpoints for AI agent access. Provides tools for querying scores, schedules, standings, and news across ESPN-covered sports.
ESPN sports data endpoints (unofficial/hidden)
MCP server that provides tool access to ESPN’s undocumented/hidden sports APIs for major leagues.
Live sports scores and team data via ESPN public endpoints
MCP server for ESPN sports data; exposes tools for live NFL/NHL/NBA standings, scores, schedules, and team information to MCP-compatible clients.
ESPN scores/stats across multiple leagues via MCP
MCP server providing tool access to ESPN sports data (scores, standings, stats, news) across many leagues, designed for MCP clients like Claude Desktop/Cursor.
PulseMCP listing for an MCP server providing ESPN sports data across many leagues.
Multi-sport
ESPN real-time sports data across 25+ leagues via MCP
MCP server that connects AI assistants to ESPN sports data, exposing tools for live scores, standings, boxscores, betting odds, player stats, rosters, schedules, rankings, and news across major leagues.
Multi-Sport
MCP Server providing sports data tools for AI agents via the Pipeworx platform. Enables LLMs to query live scores, standings, schedules, and player stats across major sports leagues.
Multi-sport team and player data
PulseMCP listing for Pipeworx sports MCP server and pack.
Automated streaming production + event ops + webhooks
Partner REST API + webhooks for Pixellot’s automated sports production/streaming platform (events, venues, clubs, categories/teams, and monitoring hooks).
Explore page for discovering public APIs and workspaces on the Postman API Network.
Meta-directory
The Public APIs (Sports & Fitness) directory provides a free, curated list of approximately 30–40 sports and fitness APIs, including links and authentication information. It serves developers and enthusiasts looking to integrate sports-related data into their applications, making it a valuable resource for anyone interested in sports and fitness technology.
Multi-sport data, API documentation
Complete documentation of ESPN's undocumented public API endpoints across 20+ sports (NFL, NBA, MLB, NHL). Includes live curl examples, routing guides, and a Django REST API service for live scores, standings, and news. Optimized for AI/LLM use.
Meta / sports list
PublicAPI.dev provides a free access API that offers a comprehensive list of sports along with associated metadata. This resource is ideal for developers, researchers, and sports enthusiasts looking to integrate sports data into applications or websites. The API also links to approximately 17 alternative resources for further exploration of sports data.
Sports Q&A dataset
The QASports MCP Server provides access to a comprehensive sports Q&A dataset, featuring over 1 million question-answer pairs across 20 sports sourced from wiki pages. It is designed for learners and developers interested in querying sports data, facilitating the development of applications that require sports-related information and insights.
API marketplace directory
Curated collection page aggregating sports data API listings on RapidAPI.
Multi-sport
Landing/search hub for Sports category APIs on RapidAPI.
Educational sports datasets
Event discovery + ticket marketplace
REST API for SeatGeek platform: returns events, performers, venues, and recommendations for live events (sports, concerts, theater).
Multi-Sport
Free sports REST API and MCP server providing live scores, fixtures, standings, player profiles, and transfer information across major football, basketball, tennis, and hockey leagues worldwide. Supports both REST API and MCP endpoint for AI agent workflows. 1000 free API requests to start.
Real-time sports and esports data with WebSocket support
Multi-language RESTful APIs and WebSockets for sports data, designed for ultra-low latency and hyper-granular stats. Covers esports (CS2, LoL, Dota2, Valorant, FIFA), plus other major sports. Provides events, livescores, players, teams, predictions, odds, leagues, seasons, stats, lineups, fixtures, injuries, TV channels, news, and standings via both REST and WebSocket.
Sports intelligence / analytics MCP server
MCP server for AI-powered sports intelligence/analytics, including DFS-oriented insights and injury risk detection (per project README).
Postman-hosted documentation for a sports API, usable via Postman collections.
Multi-sport ESPN data
Access live ESPN sports data across 17 sports and 139 leagues — scores, stats, rosters, betting odds, and standings without authentication. Uses public ESPN APIs to expose comprehensive multi-sport data to AI agents.
Sports betting odds, picks, and ESPN-linked data via MCP
Live sports scores and sports data via MCP
MCP server exposing the free SportScore sports-data API as tool calls for Claude, Cursor, and Zed. Provides live scores, fixtures, standings, top scorers, brackets, and player stats across football, basketball, cricket, and tennis. Free API requires no API key; CORS-open with ~1000 req/24h/IP limit. Surfaces 'Powered by SportScore' attribution with every tool result.
Multi-Sport
SportsDataIO's flagship multi-sport data platform providing real-time scores, stats, schedules, standings, player data, odds, and fantasy projections across all major US sports and soccer. Single source for the full game lifecycle.
Sports data retrieval (ESPN/NCAA)
Node.js client that retrieves sports data (ESPN + NCAA sources) across multiple leagues (NBA, WNBA, NFL, NHL, college football, men’s & women’s college basketball, etc.).
Sports data + live stream embeds
Web API for sports statistics with hierarchy: sports → leagues/tournaments → teams → players → matches, plus betting odds management.
Secondary marketplace + seller inventory + commerce
Official StubHub API for marketplace integration: browse/search events and venues (Catalog), manage listings/inventory, and access sales/fulfillment workflows.
**By Andy Abramson, CEO, Comunicano · April 2026** --- The sports technology infrastructure market has reached an inflection point. What was once a fragmented collection of proprietary data feeds, closed vendor ecosystems, and hand-rolled integrations has evolved into a rich, interconnected layer of APIs, MCP Servers, and open datasets that any developer — from a solo indie builder to a Fortune 500 engineering team — can access and build upon today. The Developers Locker Room now catalogs **332 tools** across 187 REST and GraphQL APIs, 119 MCP Servers, 10 Directories, 9 Editorial resources, and 7 open Datasets, spanning 32 categories and 28 sport groups. That number has grown from 161 at launch to 332 in fewer than twelve months — a rate that reflects both the genuine explosion of sports-tech infrastructure and the maturation of developer tooling across the industry. This guide is a practitioner's map of that landscape. It covers the five resource types that define the modern sports-tech stack, the explosive growth of MCP Servers as an AI-native integration pattern, the open datasets gap, authentication patterns, pricing models, and what to watch in the second half of 2026. --- ## The Five Layers of the Sports-Tech Stack Modern sports-tech infrastructure is not a single category — it is a stack. Understanding the five distinct layers helps developers choose the right tool for each job and avoid the common mistake of treating every integration as a REST API problem. ### REST and GraphQL APIs With **187 APIs** cataloged, the traditional REST and GraphQL layer remains the backbone of sports-tech integration. These range from real-time score feeds and betting odds providers to venue operations platforms, athlete biometric systems, and broadcast metadata services. The breadth is striking: a developer building a fantasy sports app, a stadium operations dashboard, or a sports betting analytics tool will find purpose-built APIs for each use case. The most densely populated categories reflect where commercial demand is highest. **Multi-Sport** leads with 46 entries — aggregators and cross-sport platforms that abstract away the complexity of dealing with individual league data contracts. **Venue Operations** follows with 39 entries, a category that has grown significantly as smart-stadium infrastructure (access control, concessions, ticketing, Wi-Fi analytics) has moved from proprietary hardware to API-first platforms. **Broadcasting and Streaming** (37 entries) and **Sports Betting and Odds** (35 entries) round out the top four, both reflecting industries where real-time data is a direct revenue input rather than a nice-to-have. **Soccer/Football** is the largest single-sport category at 28 entries — a function of the sport's global reach and the corresponding depth of its data ecosystem, from Opta and StatsBomb to dozens of regional league APIs. **Scores and Stats** (23 entries) and **Fantasy Sports** (18 entries) follow, the latter driven by the DFS industry's insatiable appetite for player-level performance data. ### MCP Servers: The AI-Native Integration Layer The most significant structural shift in sports-tech infrastructure over the past eighteen months has been the emergence of **Model Context Protocol (MCP) Servers** as a first-class integration pattern. The Developers Locker Room now catalogs **119 MCP Servers** — more than any other resource type after traditional APIs — and that number is growing faster than any other category. MCP Servers are not simply APIs with a new name. They represent a fundamentally different integration philosophy: rather than requiring a developer to write client code that calls an endpoint, parses a response, and manages state, an MCP Server exposes structured tools that an AI agent or large language model can invoke directly. The protocol standardizes how context is passed, how tools are described, and how results are returned — dramatically reducing the integration surface area for AI-native applications. For sports developers, this matters enormously. A developer building an AI-powered game-day assistant no longer needs to write custom code to query a score API, format the response, and inject it into a prompt. An MCP Server for that score provider handles the entire interaction through a single, standardized interface. The same pattern applies to injury reports, betting lines, venue capacity data, and broadcast schedules. The 119 MCP Servers cataloged span every major sport and use case. Multi-Sport aggregators dominate, followed by dedicated servers for the NFL, NBA, MLB, NHL, and soccer. Venue operations and athlete performance are emerging categories where MCP adoption is accelerating, driven by the growing use of AI copilots in stadium control rooms and sports medicine facilities. ### Open Datasets: The Training Data Layer The **7 open datasets** cataloged at Developers Locker Room represent a category that is simultaneously the most underserved and the most strategically important in the sports-tech ecosystem. These are free, downloadable collections of historical event data, player statistics, and game logs — requiring no authentication, no API key, and no commercial agreement. The current catalog includes Cricsheet (ball-by-ball cricket data), nflverse (the R-native NFL data ecosystem), OpenFootball (historical soccer results), Basketball-Reference exports, FBref (football statistics), SCORE Network (multi-sport academic data), and StatsBomb Open Data (detailed soccer event data). Each of these has become a foundational resource for AI model training, academic sports analytics research, and the development of new commercial products. The gap between what is available and what is needed is significant. The major North American leagues — NFL, NBA, MLB, NHL — do not publish open historical datasets at the granularity that AI model training requires. Developers working on predictive models, injury risk systems, or generative sports content are forced to either license expensive commercial feeds or work with the limited open data that exists. This is the single biggest infrastructure gap in the sports-tech stack, and it represents a significant opportunity for any league or data provider willing to move first. ### Directories: The Meta-Layer The **10 directories** cataloged are curated aggregators and meta-resources — sites and projects that themselves catalog sports data resources. These are valuable precisely because the sports-tech landscape is fragmented: no single source covers everything, and developers benefit from knowing which aggregators are authoritative for which domains. Directories serve a different function than APIs or datasets. They are discovery tools, not integration tools. A developer starting a new project will often begin with a directory to understand the landscape before committing to a specific provider. The Developers Locker Room itself functions as a directory of directories in this sense — a meta-layer that surfaces the best aggregators alongside the primary sources. ### Editorial: The Knowledge Layer The **9 editorial resources** cataloged — including this guide — represent the knowledge layer of the sports-tech stack: guides, tutorials, roundups, and in-depth analyses that help developers make informed integration decisions. Good editorial content is not marketing copy; it is practitioner knowledge that saves hours of research and prevents costly integration mistakes. The editorial category is the newest and smallest in the catalog, but it is growing. As the sports-tech ecosystem matures, the demand for authoritative, opinionated guidance — which API to use for NHL real-time data, which MCP Server has the best documentation, which open dataset is most suitable for soccer xG modeling — will only increase. --- ## Authentication Patterns: What to Expect One of the most practically useful things a developer can know before evaluating a sports-tech API is its authentication model. The catalog reveals four dominant patterns, each with different implications for integration complexity, security posture, and operational overhead. **API Key authentication** is the most common pattern across the catalog. It is simple to implement, easy to rotate, and well-understood by every developer. The downside is that API keys are often long-lived credentials that require careful secret management — particularly in client-side or mobile applications where embedding a key in the binary is a security risk. **OAuth 2.0** is the standard for APIs that require user-level authorization — fantasy sports platforms, athlete-facing performance tools, and any service that accesses personal data. The integration complexity is higher, but the security model is significantly stronger, and the pattern is well-supported by every major language ecosystem. **JWT (JSON Web Token)** authentication appears in a growing number of sports-tech APIs, particularly those built on modern serverless infrastructure. JWTs are stateless, which makes them well-suited for high-throughput real-time data feeds where session management overhead would be prohibitive. **Open access** — no authentication required — is the model for all seven open datasets in the catalog and a small number of public APIs. This is the ideal model for developer onboarding and AI training data, but it is commercially untenable for real-time or proprietary data. --- ## Pricing Models: The Commercial Landscape The sports-tech API market has not converged on a single pricing model, and the diversity of approaches reflects the diversity of use cases and customer segments. **Freemium** is the dominant model for developer-facing APIs. A free tier with rate limits allows developers to build and test integrations without a commercial commitment, with paid tiers unlocking higher throughput, additional endpoints, or premium data. This model has driven adoption across the catalog and is the primary reason the sports-tech API ecosystem has grown as quickly as it has. **Subscription** pricing — a fixed monthly or annual fee for a defined access level — is common among enterprise-grade data providers, particularly in the betting odds and broadcast metadata categories where data freshness and reliability carry direct commercial value. **Usage-based** pricing, where developers pay per API call or per data record, is growing in prevalence as cloud-native billing infrastructure has made metered models easier to implement and explain. This model aligns provider revenue with developer success, which makes it attractive for both parties. **Free** access — no charge at any tier — applies to the open datasets and a subset of community-maintained APIs. These resources are typically funded by academic institutions, sports governing bodies, or open-source communities rather than commercial entities. --- ## The Growth Trajectory: From 161 to 332 in Under a Month The Developers Locker Room launched in mid-March 2026 with 161 cataloged resources. The growth to 332 by April 2026 — a 106% increase in under six weeks — reflects several converging trends. | Sprint | Total Catalogued | Net Added | |---|---|---| | Launch (Sprint 75) | 161 | — | | Sprint 76 | 180 | +19 | | Sprint 77 | 200 | +20 | | Sprint 78 | 220 | +20 | | Sprint 79 | 235 | +15 | | Sprint 80 | 242 | +7 | | Sprint 81 | 254 | +12 | | Sprint 82 | 261 | +7 | | Sprint 83 | 272 | +11 | | Sprint 84 | 293 | +21 | | Sprint 87 | 325 | +32 | | Sprint 102 (April 2026) | **332** | **+7** | The acceleration in Sprint 87 — 32 additions in a single sprint — reflects the addition of MCP Servers as a tracked resource type. Before MCP Servers were cataloged, the directory was primarily an API index. Adding MCP Servers effectively doubled the addressable catalog space overnight, and the 119 MCP Servers now in the directory represent a category that did not meaningfully exist in the sports-tech ecosystem eighteen months ago. The addition of open datasets in Sprint 91 added another dimension to the catalog — one that is growing more slowly in absolute terms but is disproportionately valuable for AI and research use cases. --- ## What to Watch in the Second Half of 2026 Several trends are worth tracking closely as the sports-tech API ecosystem continues to evolve. **MCP Server proliferation will accelerate.** Every major sports data provider is evaluating or actively building MCP Server support. The pattern has proven itself in adjacent domains — developer tools, enterprise software, financial data — and the sports-tech market is following the same adoption curve. By the end of 2026, it is reasonable to expect the MCP Server count in the catalog to exceed 200. **League-owned data platforms are maturing.** The NFL, NBA, MLB, and NHL have all made significant investments in their own data infrastructure over the past three years. The question is whether they will open that infrastructure to third-party developers through public APIs or keep it proprietary. The pressure from the betting, fantasy, and media industries to open access is significant, and at least one major league is likely to announce a public API program before the end of the year. **AI-native sports applications are moving from prototype to production.** The combination of MCP Servers, large language models, and real-time sports data feeds has made it possible to build AI-powered sports applications — game-day assistants, injury risk tools, broadcast commentary aids, betting analytics copilots — that would have required a team of engineers and months of integration work two years ago. The infrastructure is now mature enough for production deployment, and the first wave of commercially successful AI-native sports applications is beginning to emerge. **Open dataset gaps will create commercial opportunities.** The absence of high-quality, open historical data for the major North American leagues is a structural gap that will not be filled by the leagues themselves in the near term. This creates an opportunity for commercial data providers to offer affordable, developer-friendly historical datasets that bridge the gap between the open-access world and the enterprise licensing model. The first provider to offer a credible, affordable, developer-friendly historical dataset for NFL play-by-play data at the granularity of nflverse will capture significant market share. **Venue operations APIs will converge.** The venue operations category — currently 39 entries, the second largest in the catalog — is characterized by fragmentation. Dozens of point solutions cover access control, concessions, parking, Wi-Fi, and fan engagement separately. The next phase of venue technology will be integration: platforms that aggregate these point solutions behind a single API surface. Several well-funded startups are building in this space, and the first credible venue operations aggregator API is likely to emerge in 2026. --- ## How to Use the Developers Locker Room The Developers Locker Room is designed to be the first stop for any developer evaluating sports-tech integrations. The catalog is searchable by name, description, category, and tags, and filterable by resource type (API, MCP Server, Directory, Editorial, Dataset), sport group, and MCP support status. Each entry includes a description, website link, documentation URL, authentication type, pricing model, supported data formats, and sport coverage. MCP Server entries include the server endpoint and protocol version. Dataset entries include download links and data format specifications. The **Categories** section provides dedicated landing pages for each of the 32 sport categories, with all relevant resources surfaced in a single view. The **MCP Servers** page provides a dedicated index of all 119 AI-native integrations, filterable by sport and use case. The **Datasets** page surfaces all 7 open datasets with download links and use case guidance. The catalog is updated continuously. New entries are added as they are discovered or submitted by the community. The **What's New** badge flags recently added entries, and the live stat counter in the site header reflects the current catalog size in real time. --- ## Submit a Resource The Developers Locker Room is a community resource, and its value grows with every addition. If you maintain a sports-tech API, MCP Server, open dataset, or directory that is not yet in the catalog, submit it at [devlocker.dev/submit](https://devlocker.dev/submit). Submissions are reviewed and added within 48 hours. --- *Andy Abramson is CEO of Comunicano, a technology communications firm with 64 exits in 23 years totaling over $9.5 billion. He is a former sports marketing executive with the Philadelphia Flyers, Philadelphia Wings, Denver Nuggets, The Upper Deck Company, and Foote, Cone and Belding's Impact division.* *Developers Locker Room is an independent research and curation project. All data is sourced from public repositories, developer documentation, and original research.*
Sports betting odds + scores
Sports database + metadata
TheSportsDB provides a free JSON API that offers access to a wide range of sports data, including teams, players, leagues, schedules, live scores, and artwork. It is designed for developers and sports enthusiasts looking to integrate sports information into their applications or websites, with an optional premium tier for higher usage limits.
Secondary market / affiliate resale inventory
Resale market ticketing API for affiliates/brokers to search inventory and (depending on account permissions) buy/sell tickets via Ticket Evolution platform.
Event discovery + Ticketmaster ecosystem
Open API to search and look up events, attractions, venues, and classifications across Ticketmaster and related sources.
Budget-friendly multi-sport API on RapidAPI with 25+ endpoints covering 20+ sports and 5100+ leagues. Covers soccer, basketball, ice hockey, American football, handball, baseball, and more. Positioned as the cheapest sports API for hobby and business projects. Also offers a companion Sports Bet Odds API on RapidAPI.
Multi-sport stats
API-SPORTS provides real-time sports data, including scores, standings, fixtures, and odds across multiple sports. It is designed for developers and businesses seeking to integrate comprehensive sports statistics into their applications, offering tiered pricing with accessible options for development use. The API is ideal for sports enthusiasts, analysts, and organizations looking to enhance user engagement with live data.
Sports betting
The Bet365 API provides access to live scores, odds, and various betting markets for commercial betting purposes. It is designed for developers and businesses in the sports betting industry, enabling them to integrate real-time betting data into their applications while adhering to Bet365's pricing and access controls.
Sports betting exchange
The Betfair API allows developers to access a wide range of data related to sports betting, including odds, markets, and betting operations. It is designed for users with a Betfair Exchange account who want to integrate betting functionalities into their applications or services, adhering to commercial usage policies.
Multi-sport live scores and betting odds
Live sports scores and betting data API with broad sport coverage including soccer, cricket, rugby union, American football, tennis, baseball, ice hockey, basketball, rugby league, Australian rules, handball, futsal, volleyball, table tennis, badminton, and esports. Focuses on live score feeds combined with odds data.
Sports betting odds, ESPN data, and bet tracking via FastMCP
FastMCP server providing sports betting odds and ESPN data, including player props, live scores, visual artifacts, and optional dashboard-based bet tracking.
Sports betting
The Cloudbet API provides real-time sports odds and programmatic betting capabilities, making it suitable for sports betting platforms and developers seeking to integrate commercial betting features into their applications. It is included in various sports API catalogs, offering a robust solution for enhancing user engagement in the sports betting domain.
Sports betting markets & odds via Cloudbet API
MCP server exposing sports data and betting tools backed by the Cloudbet public API (demo/reference implementation).
CLI and MCP server for EdgeFinder sports analysis providing AI-powered NFL and NBA betting recommendations, odds, schedules, player stats, and Polymarket tracking.
AI-powered NFL/NBA betting analysis via CLI and MCP
CLI and MCP server for EdgeFinder sports analysis providing AI-powered NFL and NBA betting recommendations, odds, schedules, player stats, and Polymarket tracking.
Sports betting odds via http://Odds-API.io
MCP server package for accessing sports betting odds data from Odds-API.io via MCP-compatible clients.
Multi-Sport
REST API for Kalshi, a CFTC-regulated prediction market platform. Provides access to sports event contracts, market prices, order books, and trade data for regulated sports prediction markets.
Liquidity-backed sportsbook odds feed
Sports data APIs with a strong football offering (2,500+ leagues) plus cricket and Formula 1; includes Premium Odds Feed (with TXOdds) and a developer-friendly REST API.
Provides live bookmaker odds data for multiple sports/leagues, accessed via RapidAPI.
Multi-Sport
Enterprise sports data and odds distribution platform covering 120,000+ events/month. Provides pre-match and in-play data for sportsbooks and trading platforms.
Multi-sport betting
Roundup/comparison of sports betting data providers to evaluate options for odds feeds, trading tools, and coverage.
Spring Boot REST API for managing sports matches and their betting odds with business validations.
Sports betting odds via The Odds API
Minimal MCP server to interact with The Odds API (sports betting odds).
Meta-editorial
The Nordic APIs sports lists provide a curated overview of the best APIs for accessing sports data, including information on betting and team operations. This resource is ideal for developers, sports analysts, and businesses looking to integrate sports data into their applications or services, offering free articles that review and list various sports APIs.
Multi-sport betting odds, scores, schedules, and player props via The Odds API
MCP server that connects Claude/Desktop to The Odds API and provides real-time access to sports odds, scores, schedules, event markets, and player props across 80+ sports and leagues.
Odds-API.io provides real-time multi-sport betting odds data, with official Node.js and Python SDKs for integrating bookmaker odds feeds.
Sports betting odds
R package that provides programmatic access to sports odds endpoints via The Odds API, for modeling/analytics workflows.
Premier real-time sports betting odds API processing 1M+ odds per second from 200+ sportsbooks. Covers pre-match, in-play, futures, player props, and same-game parlays. Sub-800ms delivery. Sports include NFL, NBA, MLB, NHL, soccer, tennis, cricket, golf, and esports. Features automated bet settlement, real-time line movement alerts, and injury data. Returns structured JSON or XML.
MCP server for accessing Pinnacle sportsbook odds data, enabling AI agents to query real-time betting lines and odds from one of the world's largest online sportsbooks.
Sports betting
The Pinnacle Sports API provides high-quality and accurate data for sports betting enthusiasts and developers. It offers live scores, results, statistics, and odds, making it an essential tool for those looking to integrate comprehensive sports data into their applications or enhance their betting strategies.
Sports betting odds across multiple sports via Pinnacle
MCP server exposing Pinnacle-style odds data including pre-match and live odds, historical odds, scores, results, leagues, markets, and archive events across multiple sports.
Real-time sports betting odds API with official SDKs
Sports betting odds API provider with official Python and TypeScript SDKs for integrating real-time odds data.
Multi-sport real-time data and odds (40+ sports)
Sports API provider offering real-time data, odds, stats, and scores across 40+ sports including cricket and smaller leagues. Designed for building betting, fantasy, and analytics applications. Transparent pricing with no hidden fees. Positions as an alternative to SportsDataIO, OpticOdds, and similar platforms.
Public Postman workspace for Sportmonks APIs and collections.
Sports betting analytics
AI-powered sports betting picks, odds, injury reports, and line movement analysis for NBA, NHL, and NCAAB.
Sports betting data (odds + scores + fixtures)
Open-source REST API project claiming real-time odds, live scores, fixtures, and results across multiple sports/books for building betting platforms or odds tools.
Serverless Python data pipeline that parses API feeds for real-time market inefficiencies and triggers automated webhook alerts.
Python MCP server for sports wagering and odds data. Available on PyPI for easy installation and integration with MCP-compatible AI clients.
US sportsbook odds aggregation + trading feeds
Odds API focused on the US sports betting ecosystem: ingests/normalizes markets from legal sportsbooks, supports odds comparison and line movement, and includes trading feeds such as settlement verification plus modeling/trading insights (including BAKER-driven best bets and query-style predictive outputs).
Sportsbook odds client SDK
Java client library/SDK for integrating with the SportsGameOdds REST API (live odds and markets).
Betting odds & data
The SportsGameOdds Odds API provides real-time betting odds and comprehensive sports data, including details on teams, players, leagues, and tournaments. This paid API is designed for developers and businesses in the sports betting industry, helping them integrate rich sports-related information into their applications and services.
Provides NFL in-game real-time statistics and related fantasy/odds endpoints via RapidAPI.
Postman workspace and documentation for The Odds API (sports betting odds).
APILayer marketplace listing for TheRundown, providing odds/scores/stats for sports betting use cases.
Soccer,Football
Comprehensive football (soccer) data API from API-SPORTS. Covers fixtures, standings, teams, players, and odds across global leagues. Freemium with rate limits by plan.
College football stats via CFBD API
MCP server that provides access to CollegeFootballData.com (CFBD) API for querying college football statistics from MCP clients.
Postman-hosted documentation/collection for College Football Data API.
Football/soccer live scores + stats + fantasy support
Commercial football (soccer) data feed API from EntitySport for live scores, match schedules, standings, and player/team statistics.
Comprehensive football (soccer) statistics database covering player, team, and league stats across the top 5 European leagues and major international competitions. Powered by StatsBomb data for advanced metrics including expected goals (xG), progressive passes, and pressures. Covers men's and women's competitions from 1888 onwards.
Football/soccer assistant tooling
Copilot/MCP-style football assistant project focused on football/soccer workflows and intelligence.
Curated list of football-related APIs and workspaces on the Postman API Network.
Postman collection/documentation for football-data.org v4 endpoints.
Football match predictions via MCP
MCP server exposing tools for football match predictions (Premier League & Champions League) as described by the FootballBin project.
Soccer / Football
Community-documented reverse-engineered FotMob API providing access to live scores, match details, league tables, and player statistics. Unofficial; subject to FotMob terms of service.
College football stats
The CollegeFootballData.com API provides detailed data on NCAA teams, players, and games. It is an unofficial yet open resource, making it ideal for developers and analysts looking to create applications or conduct analyses focused on college football statistics.
Football data
The MCP Football Server provides a comprehensive API for accessing football data, including fixtures, results, standings, teams, and players. It is designed for developers and businesses looking to integrate real-time football data into their applications. The service requires an API key and offers various paid tiers for different levels of access.
Australian Football League data via Squiggle API
MCP server that integrates with the Squiggle API to provide information on Australian Football League (AFL) teams, ladder standings, results, tips, and power rankings.
Soccer,Football
MCP server providing football match data and statistics to AI assistants. Lightweight server for querying football data.
Soccer,Football
MCP server providing real-time football/soccer data via the SoccerDataAPI. Enables AI assistants to query live fixtures, standings, and match statistics.
Free, open public domain football (soccer) data in JSON format covering the English Premier League, Bundesliga, Primera División, Serie A, Ligue 1, and more. Includes match schedules, results, team and player data, and stadium information. No API key, no registration, no cost.
FotMob football data, matches, leagues, teams, players, standings, news and TV listings
Community-maintained documentation and proxy implementation for FotMob's public football API, covering match details, leagues, teams, players, standings, news, transfers, and related football data endpoints.
Provides live, finished, and pending soccer match information via RapidAPI.
Sports stats & fantasy
Sportmonks offers a comprehensive API that provides free access to sports data, including scores, schedules, TV channels, and statistics for various football and cricket leagues. It is designed for developers and businesses looking to integrate sports statistics and fantasy features into their applications, with paid plans available for commercial use.
World Cup tournament coverage (scores/lineups/stats/odds + content)
World Cup-specific data coverage package for FIFA World Cup 2026 including live match data, betting insights, fantasy/projection support, widgets, and automated content feeds.
College football scores/stats/odds/news/images API
College football (D1 FBS) data feed API covering the full game lifecycle with betting odds and related feeds, plus league-wide content like polls, standings, and historical data.
Global soccer scores/stats/odds/news/images API
Soccer data feed API providing real-time match coverage plus betting/fantasy-oriented feeds, with broad global league coverage (international competitions and domestic leagues/cups).
Sports stats + sports news API
Football analytics dataset
Free, publicly available football event and lineup data released by StatsBomb for research/analysis.
FIFA World Cup 2026 data
AI companion for FIFA World Cup 2026. 18 tools covering matches, teams, venues, city guides, fan zones, visa info, head-to-head records, standings, odds, and knockout bracket. Works with Claude, ChatGPT, Cursor, and Telegram. No API key or external dependencies required — all data ships with the package.
Football scouting + event data + analytics
The Wyscout Data API provides comprehensive scouting and performance data for football, including players, teams, matches, and advanced statistics. It is designed for professionals in the football industry, such as scouts and analysts, who require detailed analytics and event data to enhance their understanding of player performance and team dynamics.
Outbound webhooks from event bus
Configure EventBridge to deliver events to external HTTP endpoints (“API destinations”), enabling reliable webhook-style delivery of venue operations events to partner systems and SaaS apps.
Real-time event routing / integration hub
API reference for Amazon EventBridge, a serverless event bus to connect systems (ticketing, access control, POS, security alerts, IoT) and route real-time events to AWS services and external targets.
CCTV device integration + surveillance
Open API (standard protocols) to control and integrate Axis network video devices (cameras/intercoms/radar/access control) for surveillance and event security deployments.
FastMCP server for campus sports court reservation and cancellation automation, exposing reservation and cancellation tools for AI agents and MCP clients.
Event portal + event data via Dynamics 365
Events API for Customer Insights (Journeys) to power custom event pages/portals and retrieve event metadata (name, time, location, capacity, sessions, speakers, sponsors, QR code, etc.).
Incident management + mass notification
REST APIs for incident communications/management and related crisis/notification workflows (useful for event security operations, alerts, and stakeholder communications).
Public safety platform integrations + situational awareness
APIs for integrating real-time alerts, CAD events, and geolocation tracking of vehicles/drones/personnel into FlockOS—useful for event perimeter security and real-time operations centers.
Venue discovery + place metadata
Places API provides location data and imagery for establishments and points of interest (e.g., stadiums/arenas/theaters). Supports place search, autocomplete, place details, and photos for venue discovery, directories, and wayfinding.
Traffic intelligence + mobility analytics
APIs for real-time traffic speeds/incidents/routing and parking datasets. Useful for event-day traffic monitoring, routing recommendations, and mobility ops dashboards.
Video surveillance event monitoring + VMS integration
Video Management System (VMS) API gateway providing REST APIs to retrieve/trigger events and integrate alarm/event workflows—useful for venue/event surveillance operations.
Concessions POS + in-store order/event integration
In-store ordering API for Aloha Cloud that enables read access to orders and event subscription experiences within a physical location (useful for concession operations, order-ready boards, drive-thru/kitchen workflows).
Enterprise POS + omnichannel ordering integrations
REST APIs for Simphony Cloud POS integrations: transaction processing (STS Gen2) and configuration/content access (menus/config) to support omnichannel ordering and venue concessions operations.
Mobile parking payments + enforcement + mobility integrations
Partner APIs/SDKs for parking payments and related mobility workflows (location, enforcement, gated parking, etc.) used by parking providers and venue/event parking ecosystems.
Parking marketplace + reservations for events/venues
REST API for trusted partners to search, book, and manage parking (including sandbox/prod). Commonly used for event/venue parking integrations.
Parking payments + permits + enforcement integrations
APIs for integrating parking payments/sessions, permits, enforcement, and related curb/mobility workflows into partner apps and city/venue ecosystems.
Venue & mobility payments (parking + access)
PayByPhone provides mobile and automated parking payments (including AutoPay) for off-street gated garages. It integrates with access control/parking management platforms used by large operators and venues, enabling frictionless entry/exit and session/payment management via app or web.
License plate recognition (LPR) + perimeter intelligence
REST API to search license plate reads, plate groups, and alerts from Rekor Scout web server (cloud or self-hosted). Useful for event perimeter monitoring, traffic flow insights, and security investigations.
Fan support automation + conversational engagement
Chat/API used for venue/destination fan support and engagement experiences (web chat and webhook-based integrations) plus reporting endpoints for data export.
Payments + in-venue commerce infrastructure
REST API for payment processing (test/live) plus webhooks; used in venue commerce stacks (concessions, parking, merch) as part of omnichannel payments.
Facilities & ops
The API for sports facility management tools enables users to manage inspections, asset information, incident reports, and analytics. It is designed for facility managers and operators, providing them with a comprehensive solution to enhance safety, optimize operations, and streamline reporting processes across various sports facilities.
Parking marketplace + mobility/venue integrations
Developer platform / parking API to integrate off-street parking inventory, pricing, booking, and access into partner apps (mobility, navigation, event experiences).
B2B event platform; live event data access for AI tools via MCP
Native MCP server for Swoogo that lets MCP-compatible AI tools (e.g., Claude/ChatGPT/Gemini/Cursor/Lovable/Replit) securely query and act on live event data (registrations, sessions, attendee profiles, speakers/sponsors, attendance).
Concessions POS + ordering data integration
Restaurant POS platform APIs for reading (and in partner/custom setups, writing) operational data; used for ordering, menus, locations, and analytics (relevant for venue concessions operators).
In-venue mobile experience + ordering + payments + loyalty
Integrator APIs + SDKs for venue fan experience: mobile ordering for concessions, merchandise, virtual currency, pre-orders, content management, ordering boards, and related venue services.
Live streaming + interactivity infrastructure
Managed low-latency and real-time live streaming platform to build interactive live video experiences (including sports), with broadcast SDKs and chat APIs.
Video analysis + highlight/metadata generation
Asynchronous APIs to analyze stored or streaming video to detect objects/scenes/activities/people/text with timestamps—useful for sports highlight detection, compliance, and media indexing.
Licensed newsroom content (wire + multimedia)
Programmatic access to licensed AP multimedia content (text stories, photos, graphics, video, audio) via feed and search—used by newsrooms and media workflows.
Live video transport/contribution
Managed service + APIs for ingesting and transporting live video into, through, and out of AWS (secure contribution/distribution) for 24x7 channels and live events such as sports.
Live video encoding/transcoding
REST API + service for broadcast-grade live video encoding/transcoding to create outputs for broadcast and streaming delivery (often used in live sports workflows).
Packaging/origin for live & VOD streaming
Video packaging and origination service for distributing live and on-demand streams at scale; API to create channels/endpoints (v1) or v2 live resources and configure DRM/packaging.
Streaming monetization + ad insertion
Server-side ad insertion (SSAI) and server-guided ad insertion (SGAI) for live and VOD streaming—commonly used to monetize live sports streams with personalized ads.
Fan engagement + venue/event ops solution foundation
Dynamics 365/Power Apps industry accelerator for media & entertainment, including solution components for fan engagement plus guest management, event and venue management, and related revenue workflows (ticketing/subscriptions/sponsorship/ads).
SDK + platform API concept for capturing, syncing, and distributing short-form sports highlights/instant replay clips from live events into apps and fan experiences.
News APIs (including sports category) comparison list
GitHub repo comparing multiple free news APIs (coverage, features, categories like sports) to help choose a provider.
Live video processing/transcoding
Managed API to ingest mezzanine live signals (SRT/RTMP) and transcode/package into HLS and MPEG-DASH outputs for D2C streaming; outputs stored to Cloud Storage for delivery via Media CDN.
Video delivery/CDN infrastructure
Global edge CDN for streaming media (YouTube-grade delivery). Configured/managed via Google Network Services API for caching, routing, TLS, logging—used to deliver large-scale live sports and VOD.
VOD transcoding + packaging
REST/RPC API to submit and manage transcoding jobs that convert and package video for delivery (e.g., HLS/DASH). Useful for sports VOD pipelines and highlights processing.
Video AI analysis + metadata generation
Video analysis REST API to annotate stored or live-streamed video (labels, shots, objects, logos, etc.)—useful for sports highlight detection, archive indexing, and content moderation workflows.
Server-side ad insertion (SSAI) + monetization
Server-side ad insertion (stitching) APIs to dynamically insert ads into VOD and livestreams prior to playback—used for monetizing sports streams and supporting ad decisioning workflows.
Streaming platform partner operations
Partner-facing API suites to automate Prime Video content operations (Content API Suite) and retrieve performance/analytics reporting (Analytics API Suite). Relevant for sports rightsholders distributing live sports via Prime Video channels/partners.
Licensed newsroom content delivery
API integrations for delivering Reuters multimedia content into newsroom/CMS workflows with filters and automation (content delivery + archive).
Broadcast & clips
The Highlightly API provides real-time video highlights for football and other sports, designed for broadcasters and content creators. It offers a freemium model with usage and copyright constraints, enabling users to easily integrate sports highlights into their platforms, enhancing viewer engagement and content offerings.
Video publishing + discovery
Core YouTube API to search and retrieve video/channel/playlist data and manage YouTube resources (upload videos, manage playlists/subscriptions, update channel settings).
Mass distribution live streaming + broadcast management
APIs to create, schedule, update, and manage YouTube live broadcasts and streams (liveBroadcast/liveStream) and related live chat/moderation resources.
NFL stats via Sportradar
The AgentHotspot Sports MCP Server provides access to a comprehensive set of sports data, including game stats, player stats, rosters, schedules, and tournaments. It is designed for developers and organizations needing commercial sports data, specifically focusing on NFL statistics through the Sportradar API. The MCP server is open source, allowing for customization and integration.
Multi-sport data platform (amateur to pro)
Multi-sport sports data platform positioned for use across amateur-to-pro sports contexts.
Fan highlight capture + replay + sharing
SDK + platform API concept for capturing, syncing, and distributing short-form sports highlights/instant replay clips from live events into apps and fan experiences.
Sports MCP directory / real-time sports MCP server list
GitHub repo collecting sports-related MCP servers (and related resources) for accessing stats, real-time game information, fantasy, and betting via MCP.
Multi-sport sports data via TheSportsDB for teams, players, standings, and match results.
MCP server for sports data that exposes teams, players, standings, and match results via TheSportsDB.
League results
OpenLigaDB provides a free and open-style API for tracking league results and standings. It is designed for developers and sports enthusiasts who seek to access crowd-sourced data on various leagues, enabling them to integrate real-time sports information into their applications and websites.
Sofascore multi-sport event, player, team, tournament, schedule and statistics data
Community-maintained documentation and proxy implementation for Sofascore's public multi-sport API, covering football, tennis, basketball, ice hockey, baseball, American football and other sports with detailed match, player and team data.
["Multi-Sport"]
MCP server for Spond-related sports coordination workflows such as groups, events, and team organization.
Multi-sport tracking and score data via MCP
MCP-based sports data tool focused on scores, standings, and league tracking across multiple sports.
Enterprise sports data
The Sportradar Sports Data API provides real-time sports data, including live scores, standings, and statistics across various sports. Designed for enterprises, it powers applications like the AgentHotspot Sports MCP server, offering comprehensive data solutions for businesses looking to enhance their sports analytics and engagement capabilities.
Multi-sport data hub via MCP
No content
PulseMCP listing for nexgendata sports MCP server.
Live NBA/NFL/NHL scores & schedules via MCP
Hosted MCP server (Apify actor) that exposes tools to fetch live NBA/NFL/NHL scores, schedules, and results for MCP clients.
Multi-sport scores, tables, and player/team profiles via MCP
MCP server for sports data that provides football tables, NBA/NFL/NHL scores, and player profiles without requiring an API key.
Live multi-sport data across 17 sports and 139 leagues
MCP server providing live multi-sport data across 17 sports and 139 leagues, with tools for scoreboards, game summaries, odds, team and athlete stats, standings, injuries, transactions, and news.
Sports score data access via Python library
Python client for the free SportScore sports-data API with sync and async access.
Scores & betting & fantasy
SportsDataIO offers a comprehensive API for accessing live scores, schedules, odds, fantasy data, news, and images. Targeted at developers and businesses in the sports industry, it provides commercial sports data solutions with paid plans and free trials for select feeds, catering to those focused on scores, betting, and fantasy sports applications.
Sports data via Lightning
SuredBits offers a public API focused on Bitcoin and Lightning, designed for querying sports data. It provides access to various data types, including teams, players, games, scores, and statistics, making it ideal for developers and businesses looking to integrate sports data into their applications using cryptocurrency technology.
ESPN Fantasy Basketball league data via MCP
MCP server for ESPN Fantasy Basketball, exposing tools to query league teams, rosters, waiver wire players, matchups, and schedules from MCP clients.
Fantasy sports data (rankings/projections)
Fantasy league data access (ESPN/Yahoo/Sleeper) via MCP
Fantasy sports MCP platform that connects ESPN, Yahoo, and Sleeper leagues to AI assistants for read-only team/matchup/standings/waiver Q&A.
Fantasy sports data
Integrates with Sleeper Fantasy Football API to access user profiles, league data, rosters, matchups, draft info, player stats, and trending analytics.
Sleeper fantasy football data
MCP server that exposes tools for the Sleeper Fantasy Football API (users, leagues, rosters, matchups, drafts, players).
Sleeper fantasy football league and roster data via MCP
MCP server for interacting with Sleeper fantasy football data, including leagues, rosters, matchups, and player information.
["American Football (NFL)"]
MCP server for interacting with Sleeper fantasy sports league data, especially fantasy football.
Multi-league Sleeper fantasy football management and cross-league analysis
MCP server for Sleeper fantasy football that auto-discovers a user's leagues and enables cross-league roster analysis, matchup review, waiver targeting, and prioritization across multiple NFL fantasy teams.
Fantasy projections, points, DFS salaries/slates, advanced fantasy metrics
Fantasy-focused data feeds for DFS and season-long products: projections and fantasy points, DFS salaries/slates, and deeper fantasy metrics (ADP, IDP, splits, snap counts, advanced metrics).
Sleeper fantasy sports API via MCP
MCP server for the Sleeper Fantasy Sports API, enabling MCP clients to access fantasy sports league and player data through Sleeper.
Yahoo Fantasy Sports API (baseball)
MCP server that exposes tools for the Yahoo Fantasy Sports API, focused on fantasy baseball league data (rosters, players, stats), for MCP-compatible clients.
Yahoo fantasy sports data exploration toolkit
Python toolkit for fetching and exploring fantasy sports data across Yahoo Fantasy leagues and sports using yfpy.
Fantasy lineup optimization + league management (Yahoo)
Yahoo Fantasy Football MCP server for Claude Desktop: lineup optimization, draft assistance, and league management.
Yahoo Fantasy Sports roster management via MCP
Read-only MCP server for Yahoo Fantasy Sports that lets AI assistants list leagues, inspect rosters, and find free agents and waiver pickups.
Fantasy sports platform data
Official Yahoo Fantasy Sports REST APIs for accessing fantasy game, league, team, player, and transaction data across major sports.
Multi-Sport
Open-source Node.js wrapper for the Yahoo Fantasy Sports API. Simplifies OAuth authentication and provides helper methods for accessing leagues, rosters, transactions, and player data.
Yahoo fantasy sports data access across MLB, NBA, NFL, and NHL
TypeScript wrapper for the Yahoo Fantasy Sports API that simplifies authenticated access to Yahoo fantasy sports data across multiple leagues and sports.
Ultra-low-latency live streaming (WebRTC)
Live streaming engine focused on ultra-low-latency delivery using WebRTC; can be deployed on-prem or cloud and used for real-time sports broadcasts and interactive fan experiences.
Live + VOD streaming platform APIs
Video platform APIs to manage VOD and live streaming workflows (video content management REST API) plus player API/SDKs for custom playback integrations.
Audio/video pipeline tooling for transcoding (Golang/C) used in media workflows (useful for live/VOD preparation).
Media supply chain, streaming, content publishing
JavaScript client SDK for interacting with the Eluvio Content Fabric (publishing, playout, viewing, minting; handles auth + blockchain interactions).
Media supply chain + automation via Python
Python SDK for interacting with the Eluvio Content Fabric.
SDK + CLI utilities for managing content, live performance, and marketplaces on Eluvio Live.
Video playback, OTT experiences
JavaScript player SDK for playing content served from the Eluvio Content Fabric (recommended playback layer for Fabric content).
Sports media, live data, video highlights
The only sports API that bundles real-time video highlights alongside structured match data in a single subscription. Returns standard REST JSON with live scores, lineups, match events, odds, predictions, and actual video highlights. Covers football/soccer, American football (NFL, NCAA), basketball (NBA, NCAAB), hockey (NHL), cricket, baseball (MLB), rugby, volleyball, and handball. Also offers All Sports unified API for cross-sport access.
Live production + cloud switching/simulcast control
APIs for LiveU Studio to automate ingest setup and cloud production actions (stream ingest point management, simulcast/graphics/DVR actions via WebSocket API).
Real-time media server/proxy for live streaming
Ready-to-use, zero-dependency real-time media server and proxy for ingesting, routing, recording, and playing back live streams across common protocols (SRT, WebRTC, RTSP, RTMP, LL-HLS).
LED matrix scoreboard driven by live ESPN score data
Raspberry Pi powered LED matrix sports scoreboard that fetches live scores from ESPN APIs and displays them on a HUB75 RGB LED panel.
Scoreboard controller integration and real-time score JSON API
Lightweight application that connects to scoreboard controllers and generates a real-time JSON web API for broadcast overlays, dashboards, and live sports analytics.
Low-latency live streaming server
High-efficiency real-time media server supporting RTMP, WebRTC, HLS, SRT, MPEG-DASH and more—useful for live sports ingest, distribution, and monitoring.
Live streaming platform integrations + interactivity
API for building integrations with Twitch live streams and VOD: get stream/video metadata, create clips, manage broadcasts, and use EventSub/Extensions for interactive experiences around live content.
OTT streaming platform + subscription management
API for building and customizing an OTT streaming business on Vimeo OTT (VHX): manage customers, content, subscriptions, integrations, and platform operations.
Live streaming infrastructure + control plane
REST API for Wowza Video to programmatically control live streams, transcoders, stream sources/targets, and playback workflows (anything available in Wowza Video UI).
TypeScript MCP server that integrates with Fitbit's API to provide access to personal health data including weight measurements, sleep logs, exercise logs, activity summaries, heart rate, food/nutrition logging, and Active Zone Minutes. Uses OAuth 2.0 authentication. Available as mcp-fitbit npm package. 12 tools, 26+ GitHub stars.
Wearable fitness tracker data (Fitbit)
The Fitbit Web API allows developers to access and integrate data from Fitbit devices, including activity, heart rate, sleep logs, and nutrition information. It is designed for developers creating applications that utilize wearable fitness tracker data, requiring a Fitbit developer app and OAuth2 for access.
Integrates with Garmin Connect to expose fitness and health data through natural language interactions. Provides 96+ tools covering activities, health/wellness metrics, training data, workout management, device info, gear tracking, weight logging, nutrition data, and more. Supports Docker deployment. 311+ GitHub stars.
Wearable health metrics (Garmin)
The Garmin Health API enables developers to access various wearable health metrics like steps, heart rate, sleep, and more, facilitating the integration of health data into applications. It is intended for partners and enterprises that are part of the Garmin Connect Developer Program, requiring application and approval for access.
Sleep + recovery + readiness (smart ring)
The Oura API v2 provides access to sleep, readiness, activity, heart rate, HRV, and temperature-related summaries from the Oura smart ring. It is designed for developers and researchers interested in health and wellness metrics, enabling them to integrate these insights into their applications while adhering to Oura's API agreement and rate limits.
Football wearable IMU/foot sensor metrics + sessions
API to integrate Playermaker’s football (soccer) wearable performance data platform with external systems (team/athlete data access via token-based auth).
Wearables (Polar) + athlete monitoring
OAuth2 API to access user training sessions and daily activity recorded by Polar devices (via Polar Flow).
Meta-directory
The Public APIs directory provides free access to various sports and fitness APIs, including popular services like Strava and Sportmonks. It serves developers and businesses looking to integrate sports and fitness data into their applications, enabling them to enhance user experiences and provide innovative fitness solutions.
MCP server facilitating seamless integration between Strava APIs and Claude for Desktop. Enables AI agents to retrieve and analyze athlete fitness data including running, cycling, and other endurance activities, segments, routes, and club data. Requires Strava API key.
Fitness & activity
The Strava API allows developers to access and integrate data related to athletes, their activities, routes, and performance metrics. It is primarily used by fitness applications and services to enhance user engagement and provide insights into fitness activities, leveraging OAuth for secure access and adhering to rate limits for optimal performance.
Endurance sports training analytics
Connects TrainingPeaks to AI assistants via cookie-based auth — no API approval needed. Query workouts, CTL/ATL/TSB fitness data, and power PRs via natural language. Supports cycling, running, and triathlon athletes.
Cycling,Running,Triathlon,Fitness
MCP server connecting TrainingPeaks to AI assistants via cookie-based auth — no API approval needed. Query workouts, CTL/ATL/TSB fitness data, and power PRs for cycling, running, and triathlon.
Training & fitness
Analyze training activities, build training plans, and sync workouts to sports watches.
Wearable recovery + sleep + strain analytics
The WHOOP API provides developers access to data on workouts, sleep, recovery scores, and body measurements, focusing on wearable recovery and strain analytics. It is designed for users with an active WHOOP membership or device, enabling them to integrate personal health metrics into applications for enhanced performance tracking and recovery analysis.
APILayer marketplace listing for balldontlie NBA data API.
The most comprehensive freely accessible historical basketball database covering NBA and WNBA player statistics, team records, game logs, and advanced metrics from 1946 to present. Includes box scores, play-by-play, salary data, draft history, and award records. Widely used by sports analysts, data scientists, and AI researchers.
Basketball live scores + play-by-play + stats
Commercial basketball data feed API from EntitySport (positioned around NBA and other leagues) providing live scores, play-by-play, and player/team statistics.
Model Context Protocol server for NBA player statistics built with FastMCP and sourced from basketball-reference.com.
NBA player analytics
Provides detailed NBA player statistics from basketball-reference.com via specialized tools (career/season/advanced metrics, game logs, awards voting, trend analysis, all-time rankings).
League analytics
The NBA Stats API provides free access to a wealth of basketball data, including games, live scores, standings, and advanced player and team statistics. It is designed for developers, analysts, and sports enthusiasts looking to leverage NBA analytics for applications, research, or enhancing fan engagement while adhering to rate limits and league terms.
NBA statistics and basketball data access via MCP, covering live and historical workflows.
MCP server for NBA data that exposes tools for player info and stats, team rosters and advanced stats, scoreboards, schedules, game details, box scores, play-by-play, season awards, leaders, comparisons, and other NBA analysis workflows.
Basketball,NBA
Multi-sport live data
MCP server exposing the free SportScore sports-data API as tool calls for Claude, Cursor, and Zed. Provides live scores, match details, standings, top scorers, brackets, and player stats across football, basketball, cricket, and tennis. Free public API, CORS-open, no API key required.
NBA scores/stats/odds/projections/news/images API
NBA data feed API for real-time coverage across the full game lifecycle, including betting odds and fantasy/projection-related feeds, plus news/images and historical data.
College basketball scores/stats/odds/news/images API
College basketball (Men’s D1) data feed API covering pregame/live/postgame with odds and related feeds, plus league-wide content including polls, brackets, and historical data.
Ticketing & venue
The A View From My Seat API provides access to ticketing and venue data, including seating charts and seat views. It is designed for developers and businesses in the entertainment and sports sectors, enabling them to enhance user experiences by integrating real-time seating information and visual representations of venue layouts into their applications.
Golf
A golf course API providing data for almost 30,000 golf courses worldwide, including scorecard data, slope, ratings, and coordinates.
Multi-Sport
MCP server providing geospatial tools (geocoding, routing, nearby places, neighborhood analysis) useful for venue, stadium, and event location workflows.
Sports booking
The Roar Sports API by Chirpn is designed for businesses in the sports industry, facilitating B2B booking for venue scheduling. It enables users to manage venue and facility bookings, check availability, and handle reservations efficiently, streamlining the overall scheduling process for sports facilities.
Integrates with SeatGeek’s event discovery platform to find events and generate recommendations with performer/venue/location filtering.
Booking + ticketing operations + reseller/OTA connectivity
Ticketing/booking platform API for tours, attractions, and event operators; supports syncing bookings/tickets/discounts/refunds and connecting to OTAs/resellers.
Connects to Ticketmaster Discovery API to find upcoming events by artist, venue, location, or genre with ticket availability information.
Connects to Ticketmaster APIs to search and discover upcoming events by location, date range, and keywords, returning detailed event info and ticket links.
Ticketmaster Discovery
MCP server that exposes tools to search Ticketmaster events, venues, and attractions via the Discovery API (keyword, date range, location, venue/attraction filters).
MCP server that provides player and club statistics for EA Sports NHL CHEL (EASHL) by querying EA's Pro Clubs API.
NHL hockey data
NHL API client, MCP server, and CLI written in Go. Integrates with NHL data sources to provide real-time game updates, player stats, and league standings for sports analysis and fantasy hockey applications. Based on the official NHL API.
NHL public APIs (unofficial)
MCP server providing tool access to NHL data by wrapping the NHL’s public endpoints.
NHL scores, stats, standings, schedules
MCP server for the NHL API, providing tool access to documented NHL endpoints for live game data and statistics.
NHL data (unofficial API wrapper)
Python package wrapping NHL endpoints (including NHL EDGE stats) for easy programmatic access.
NHL API endpoint reference
Community-maintained reference for unofficial NHL API endpoints (api-web.nhle.com and api.nhle.com/stats/rest), with example responses and notes.
NHL standings/schedule CLI
Rust command-line tool that fetches NHL standings/schedules/playoff matchups and formats output; useful as a working example of NHL API calls.
Hockey,NHL
Provides NHL team standings, player statistics, game schedules, and roster information via MCP protocol to AI assistants.
NHL scores/stats/odds/projections/news/images API
NHL data feed API providing pregame/live/postgame coverage with odds and fantasy/projection support plus league-level data, news/images, and historical datasets.
Smithery-listed MCP server for querying balldontlie sports data across major leagues.
NFL live scores + stats
Commercial NFL data feed API from EntitySport for live scoring and statistics integrations.
NFL real-time stats via SportRadar
Python MCP server for real-time NFL stats via SportRadar API. Provides game stats, team rosters, schedules, player stats, tournament info, and transaction data. Installable via pip as mcp-sports-server. Currently NFL-only with a plugin architecture designed for expansion to additional sports.
NFL intelligence + fantasy management (ESPN newsfeed + Sleeper)
MCP server that provides NFL-focused intelligence by combining ESPN newsfeed content with Sleeper fantasy football and league data for MCP-compatible clients.
Comprehensive open NFL datasets maintained by the nflverse community. Includes play-by-play, player stats, schedules, rosters, draft picks, and advanced metrics. Available as CSV and Parquet files with a Python library (nfl_data_py). Covers 1999 to present, updated weekly during the NFL season.
Smithery-listed MCP server for retrieving major US league scores and stats (via Apify).
NFL scores/stats/odds/projections/news/images API
Single-source NFL data feed API providing end-to-end game lifecycle coverage (pregame/live/postgame) plus broader league data, including betting odds and fantasy projections, news, images, and historical data for modeling/analytics.
Scores, schedules, odds (US leagues)
Wearable GPS/IMU team-sport load monitoring (Catapult OpenField)
REST API for integrating Catapult OpenField data with external athlete management and analytics systems (including summary stats, tags, and webhooks).
Team athlete monitoring + load analytics (Firstbeat Sports)
The Firstbeat Sports Cloud API enables athlete monitoring by providing access to athlete profiles, training sessions, and performance metrics for load analytics. It's designed for Firstbeat Sports Premium and Premium+ customers, as well as selected partners, requiring credentials for access to enhance team athlete performance management.
Wearables + health/performance data normalization
Self-hosted platform that unifies multiple wearable/fitness data providers behind a single API for normalized health/performance data access.
Repository of MCP servers for SidelineIQ, an autonomous AI sports injury intelligence platform focused on injury-related sports analytics.
Fitness & activity
The Strava API allows developers to access and integrate data related to athletes, their activities, routes, and performance metrics. It is primarily used by fitness applications and services to enhance user engagement and provide insights into fitness activities, leveraging OAuth for secure access and adhering to rate limits for optimal performance.
Objective performance testing (force plates, hamstring strength, isometric testing)
The VALD External APIs provide access to performance testing data for athletes, including profiles, test sessions, and metrics. Designed for sports professionals and organizations, these APIs facilitate integration with VALD systems, enabling users to track and analyze athlete performance effectively. Access requires a VALD subscription, linking to tools like ForceDecks and NordBord.
XERT training analytics, workouts, and fitness signature via MCP
Model Context Protocol server for the XERT API that exposes endurance training analytics including fitness signature, training load, workouts, and activities to MCP clients.
Primary ticketing + venue/identity integrations
AXS provides APIs/SDKs used by venues and partners for ticket delivery, identity/mobile ID, and related integrations (partner-facing).
Primary ticketing platform + operations integrations
B2B ticketing platform for sports/festivals with RESTful integration (Tixx-Connect) to connect external apps (accounting, CRM, apps, merchandising) and enable multi-channel ticket distribution.
Event discovery + event/ticket management
REST API to access and manage Eventbrite event data (public discovery and organizer/event management), plus checkout/ticketing integrations and webhooks.
Ticketing reporting + partner data integration
Partner reporting API to retrieve order/ticket and financial reporting data for events sold on Fever (for BI/CRM/ERP integrations).
Affiliate event feed / syndication
API-based affiliate/event feed for syndication partners to ingest event info and promote ticket sales across channels.
White-label ticketing + registration + integrations
White-label ticketing/registration platform with REST APIs (and webhooks) for custom ticketing experiences, payments, and attendee management.
MCP server that integrates with the official Fantasy Premier League API to retrieve player statistics, team information, fixture data, and league standings. Enables natural language queries against live FPL data for fantasy football analysis and transfer decisions. Built in Node.js/TypeScript, installable via npm.
Python-based MCP server providing rich Fantasy Premier League data access including player search, player comparisons, gameweek data, team info, and fixture analysis. Requires Python 3.10+. Exposes FPL data as MCP tools for Claude and compatible clients.
Fantasy sports rankings and projections
MCP server providing access to the FantasyPros API for sports data, news, expert consensus rankings, and projections. Supports NFL, MLB, NBA, and NHL. Tools include get_sport_news (with category filtering: injury, recap, transaction, rumor, breaking), player information by ID, consensus rankings by position and scoring type, and player projections.
Event-driven fan messaging via Journey Builder
REST endpoint to fire an entry event and insert contacts into a Journey synchronously (event-driven messaging for fan/attendee communications).
Real-time personalization driven by fan/venue events
Send event data to Marketing Cloud Personalization’s event pipeline to drive real-time individualized experiences/campaign decisions (useful for sports/venue digital experiences).
Fan engagement CRM + marketing automation
API + SDK for collecting and activating first-party fan data (campaigns, stream, CRM), with push notifications and integrations; used by sports and live events orgs for fan engagement and marketing automation.
Professional baseball statistics and game data
A Model Context Protocol (MCP) server that provides comprehensive access to MLB statistics and baseball data via a FastMCP-based interface. Supports player stats, team data, schedules, standings, and historical game records through the official MLB Stats API.
MLB data via SportRadar API through MCP
MCP server connecting Claude-compatible clients to the SportRadar MLB API for schedules, games, standings, player and team stats, injuries, transactions, and other MLB data.
MCP server providing structured access to Major League Baseball advanced statistics including Statcast, FanGraphs, Baseball Reference, and official MLB Stats API data. Enables AI agents to query detailed baseball analytics, player performance metrics, and historical data through a standardized MCP interface.
MLB Stats API client
Node.js/TypeScript library for interacting with the MLB Stats API, with broad endpoint coverage and types.
Python access layer for MLB stats and data retrieval
Python library/wrapper that simplifies access to MLB StatsAPI-style baseball statistics and related MLB data retrieval workflows.
MLB scores/stats/odds/projections/news/images API
Single-source MLB data feed API covering pregame/live/postgame with odds and fantasy/projection support, plus league-wide and historical MLB datasets for analytics and product features.
Freely available structured ball-by-ball data for international and T20 League cricket matches, including IPL, BBL, PSL, and all major ICC tournaments. Available in JSON, YAML, and CSV formats. Covers men's and women's internationals from 2005 onwards. No registration or API key required — direct download from cricsheet.org.
["Cricket"]
Cricket-focused MCP server/tooling centered on Duckworth-style analytics and related calculation workflows.
Cricket data feed + fantasy data
Commercial cricket data feed API from EntitySport for building live scores, fantasy, analytics, and publisher products.
Cricket betting odds / live line / exchange data
EntitySport’s cricket odds/live line product for sportsbooks, betting aggregators, and odds/prediction platforms.
Predictions/analytics for cricket matches
EntitySport product focused on cricket match/player predictions for platforms that want forecast signals alongside live/historical cricket data.
Formula 1 data
OpenF1 is a free, open-source API providing real-time and historical Formula 1 data (timings, telemetry, drivers, race control messages, etc.).
MCP server for accessing Formula 1 data such as races, schedules, drivers, constructors, standings, and related motorsports information through MCP-compatible clients.
MCP server that controls MultiViewer, an app for watching motorsports like Formula 1, World Endurance Championship, IndyCar and others.
Agentic sports data skills for AI assistants; prediction market integration
Open-source agent SKILL.md definitions for live sports data and prediction markets. Covers PGA/LPGA/DP World Tour golf, ATP/WTA tennis, Football (soccer), Formula 1, and prediction market integrations (Kalshi, Polymarket). Zero API keys needed — pulls from public ESPN endpoints.
NASCAR race stats/odds/news/images API
NASCAR data feed API for real-time race coverage including odds, race stats/leaderboards, and supporting data like driver/track profiles and historical datasets.
Open sports intelligence library and MCP server for AI agents; sports reasoning, fan-token/commercial context, and analytics.
Open-source sports intelligence library with an MCP server and API modes for AI agents. It provides sports-specific reasoning/context layers and tools for generating structured sports signals rather than just exposing raw sports stats.
AFL predictions
The Squiggle API provides free access to Australian Football League (AFL) analytics, offering data on fixtures, results, and predictions. It is designed for developers, analysts, and enthusiasts looking to integrate AFL-related data into their applications, enhancing their ability to make informed decisions and predictions about the league.
Multi-sport data feeds (live + historical)
Commercial sports data API providing access to live, historical, and season sports data across leagues and competitions (Stats Perform / Opta feeds) via REST endpoints.
Baseball simulation, stats, scouting, and player analysis via StatsPlus
MCP server for interacting with StatsPlus baseball data and analysis workflows, including player scouting and performance-oriented use cases.
Kabaddi live scores + play-by-play + stats
Commercial kabaddi data feed API from EntitySport (incl. Pro Kabaddi League coverage) for live score and stats integrations.
IOC / Olympic Games official results & schedule feed (licensed)
IOC’s official Olympic Data Feed documentation portal for the ODF standard used to distribute Games-time data to accredited users (results, schedules, and related sport messages).
Olympic multi-sport scores/stats/medals + news/images
Multi-sport Olympics data API aggregating schedules, events, live results, stats, medals, and media across all Olympic sports, plus historical Olympic data for analytics and content.
World Aquatics results/records/rankings exports
Public endpoints under api.worldaquatics.com that return CSV/XLS reports for records and rankings (useful for programmatic ingestion into analytics pipelines).
Meta MCP directory
The AgentHotspot MCP directory is a free, open-source discovery layer for exploring various OSS MCP connectors. It provides a searchable list of MCP servers, including sports connectors, making it ideal for developers and organizations looking to integrate or utilize multiple connector options within their applications or services.
Meta-directory
SportsAPI.com is a free comparison site that aggregates various sports data providers. It serves as a meta-directory, offering users access to provider listings, coverage details, and pricing comparisons. This API is ideal for developers and businesses looking to easily compare sports data sources to find the best options for their needs.
Unified CRM & HRIS
Unified.to provides a unified API for managing CRM and HRIS data across multiple SaaS applications. It focuses on sports-oriented CRM data through its Rev Sport connector, allowing users to access and manage contacts, companies, deals, and HR objects seamlessly. This API is designed for businesses looking to streamline their data management processes efficiently.
Python project for ATP tennis rankings data collection, analysis, visualization, and AI integration via MCP.
Tennis live scores + point-by-point + rankings
Commercial tennis data feed API from EntitySport providing live match scoring (including point-by-point) plus fixtures and ranking-related data.
Tennis matches scores/stats/odds/news/images API
Tennis data feed API delivering pre-match through post-match coverage with odds, projections, and supporting data such as player profiles and media assets.
College sports scores & stats
Free API that returns JSON from http://ncaa.com paths (scores, stats, rankings, standings, schedules, history, logos, and game details like box score / play-by-play).
College sports scores & stats
Free API that returns JSON from ncaa.com paths (scores, stats, rankings, standings, schedules, history, logos, and game details like box score / play-by-play).
Sports data retrieval (ESPN/NCAA)
Node.js client that retrieves sports data (ESPN + NCAA sources) across multiple leagues (NBA, WNBA, NFL, NHL, college football, men’s & women’s college basketball, etc.).
Baseball live scores + stats + fantasy
Commercial baseball data feed API from EntitySport (MLB and other leagues) providing live scores, game events, player/team stats, and fantasy-oriented data.
Advanced baseball analytics and multi-source data aggregation
MCP server for advanced baseball analytics, aggregating data from Statcast, FanGraphs, Baseball Reference, and the MLB Stats API. Supports AI-driven analysis of Statcast pitch/exit velocity data, advanced metrics, and cross-source stat comparisons.
Hockey live scores + play-by-play + stats
Commercial hockey data feed API from EntitySport (marketed for FIH Pro League and other competitions) for live scoring and statistics integrations.
League stats
The NHL Records and Stats API provides free access to historical NHL statistics, making it an essential resource for developers, sports analysts, and enthusiasts looking to access detailed league data and insights. Users can leverage this API to enhance applications, conduct research, or simply satisfy their passion for hockey statistics.
Sports merchandise ecosystem + identity/auth
APIs for accessing Fanatics ecosystem services (Fanatics ID auth and related ecosystem APIs) for partners/tenants; can support merchandise and fan commerce integrations depending on tenant capabilities.
E-commerce back office + merchandising operations
GraphQL-first Admin API to build apps and integrations for store operations: products/variants, inventory, orders, customers, fulfillment, discounts, etc. Useful for team/venue merchandise shops.
FIFA public endpoints for past competition data
Publicly accessible FIFA endpoints (documented by the Give Voice to Football community) that expose historical competition/tournament data via REST-style endpoints.
FIFA official developer portal for football data access
FIFA’s Football Data Hub developer portal (Azure API Management) for discovering/consuming FIFA football data APIs with key-based access.
Official OP.GG MCP server for esports data. OP.GG is a leading esports data platform covering League of Legends, CS2, Valorant, and other competitive titles. Provides player rankings, match history, champion/agent statistics, and competitive meta analysis through a standardized MCP interface.
MCP server integrating with the OpenDota API to provide real-time Dota 2 statistics, match data, and player information for AI agents. Endpoints include player lookup by account ID, recent matches, detailed match data, win/loss stats, and most-played heroes. Uses free OpenDota public API — no API key required.
Golf
Provides golf tour schedules, tournament information, live leaderboards, and live hole-by-hole scorecards for major golf events.
PGA golf scores/stats/odds/news/images API
Golf data API for PGA tournaments, providing real-time tournament coverage (scorecards/leaderboards), betting odds feeds, and supporting data like rankings and course/player profiles.
Fantasy PL public data endpoints
Public endpoints used by the official Fantasy Premier League site/app that expose JSON for fantasy game data (players/teams/fixtures/gameweek stats).
Cycling results/riders via FirstCycling (scrape/API)
MCP server that exposes FirstCycling-style cycling race and rider data to MCP-compatible clients for querying schedules, results, rankings, and rider/team information.
IIHF live scores/state
Undocumented IIHF realtime endpoint used by some third-party tools to pull latest scores/state for IIHF tournaments (example: GetLatestScoresState).
Japanese pro baseball info
MCP server that provides Nippon Professional Baseball (NPB) player/team information (scraped from official NPB sources) via MCP tools.
Sportradar developer tools for sports data integration (MCP)
Sportradar Model Context Protocol (MCP) server endpoint for AI editors (Cursor/Windsurf/Claude Desktop) providing tools to search specs/endpoints, generate code snippets, and execute requests against Sportradar APIs.
MMA fight stats & odds API
MMA/UFC data feed API for real-time fight coverage, including betting odds and lifecycle updates from pre-fight through results.
Team operations
The TeamSnap API provides developers with access to data types such as events, rosters, standings, and team management information. It's designed for amateur and grassroots operations, allowing teams to efficiently manage their activities and improve organization. Developers can utilize this free API to enhance team operations through seamless integration of data.
Horse racing data
ABOUT THIS DIRECTORY
The Developers Locker Room is a curated, continuously updated directory of APIs and Model Context Protocol (MCP) servers purpose-built for the sports industry. Whether you are building fan engagement platforms, venue operations tools, sports betting applications, or broadcast infrastructure, this is your starting point.
Covering sports organizations, professional leagues, venues, arenas, stadiums, media companies, and allied industries — from live scoring APIs to parking management integrations.
UNDERSTANDING THE LISTINGS
REST APIs are the standard building blocks — HTTP endpoints that return structured data. They require custom integration code and authentication handling for each provider.
MCP Servers (Model Context Protocol) represent the next generation of AI-native integrations. They allow AI agents and LLMs to directly interact with sports data, venue systems, and live feeds through a standardized protocol — dramatically reducing integration complexity.
HOW TO USE THIS DIRECTORY
Use the search bar to find APIs by name, data type, or sport. Filter by type — REST API, MCP Server, or Directory — or click a category in the sidebar to narrow your results instantly.
Each listing includes a description, pricing model, authentication type, and direct links to documentation and GitHub repositories where available. MCP-ready APIs are flagged so you can identify AI-native integrations at a glance.
Click through to the full listing for code examples, endpoint references, and integration notes. Use the "What's New" filter to track recently added or updated tools as the sports tech ecosystem evolves.