guillochon/mlb-api-mcp

Overview

A FastMCP-based server exposing MLB statistics and baseball data through the Model Context Protocol, enabling AI agents to query player stats, team info, and game results programmatically. Written in Python, it serves as a structured data bridge between large language models and live ballgame data.

Best for

Best for
Developers building baseball-aware agents or analytics tools within the MCP ecosystem

Use cases

• Pull real-time MLB scores and player stats into an agent prompt
• Enable chat-based queries for historical baseball performance data
• Automate baseball research workflows within MCP-compatible assistants

Notes

A FastMCP-based server exposing MLB statistics and baseball data through the Model Context Protocol, enabling AI agents to query player stats, team info, and game results programmatically. Written in Python, it serves as a structured data bridge between large language models and live ballgame data.

53 stars on GitHub. Last updated 2025-07-29. Licensed MIT.

Use cases

• Pull real-time MLB scores and player stats into an agent prompt
• Enable chat-based queries for historical baseball performance data
• Automate baseball research workflows within MCP-compatible assistants

Pros

• Direct access to official MLB data via a standardized protocol
• Lightweight Python implementation with FastMCP for quick setup
• Active community with 53 stars signals usability and interest

Cons

• Requires an MCP-compatible client or host to function
• Data scope limited to MLB only, no minor league or international coverage
• Dependent on upstream MLB API availability and rate limits

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.