APIs and tools for baseball (mlb).
8 listings
Advanced baseball analytics and multi-source data aggregation
MCP server for advanced baseball analytics powered by pybaseball. Pulls from Statcast, Fangraphs, Baseball Reference, and the MLB Stats API. Ideal for data scientists and analysts needing advanced metrics beyond the official MLB API.
Professional baseball statistics and game data
FastMCP-based server that exposes MLB statistics and baseball data as MCP tools for standings, schedules, players, teams, live game info, play-by-play, highlights, sabermetrics, and related baseball workflows.
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.
Cloudflare Worker-based MCP server for MLB Stats API with intelligent entity resolution and comprehensive team/player mappings. Meta-tools allow natural language queries mapped to the official MLB Stats API endpoints.
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.