mlb-api-mcp
Active·★ 59·MIT·Updated 2026-08-01
This MLB API MCP server acts as a bridge between AI applications and comprehensive baseball data sources, providing access to statistics, game information, and player data. It exposes all functionality as Model Context Protocol (MCP) tools, enabling seamless integration into AI workflows.
#MLB API#Baseball Data#MCP Server#AI Integration#Python#FastAPI#Data Access#API Wrapper
01
Features
01Comprehensive MLB Data Access (standings, schedules, player stats, live data)
02Exposes functionality as MCP Tools for AI Applications
03Automatic API Documentation and Schema Validation
04Support for Traditional and Sabermetric Player Statistics
05Live Game Data including boxscores and play-by-play
02
Compatibility
Python
Runtime
Verified via docs
Docker
Containerization
Verified via docs
MCP
Protocol
Verified via docs
Smithery
Platform
Verified via docs
03
Quick start
1
$ curl -LsSf https://astral.sh/uv/install.sh | sh
2
$ git clone https://github.com/guillochon/mlb-api-mcp.git
3
$ cd mlb-api-mcp
4
$ uv venv
5
$ source .venv/bin/activate
6
$ uv pip install -e .
04
Use cases
↳Building AI-powered baseball analytics platforms
↳Integrating real-time MLB data into AI chatbots or virtual assistants
↳Developing applications that require detailed player and team statistics
↳Enhancing AI workflows with structured baseball information via MCP
↳Creating automated systems for tracking game events and highlights
05
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