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MLB Stats MCP Server

@etweisberg

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

etweisberg

MLB Stats MCP Server について

MCP server for advanced baseball analytics (statcast, fangraphs, baseball reference, mlb stats API)

#mcp#baseball-statistics#statcast#baseball-data#mlb-stats-api#baseball-analytics#fangraphs#mcp-server#mcp-client

MLB Stats MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mlb-mcp": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

MLB Stats MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MLB Stats MCP Server?

A Python project that implements a Model Context Protocol (MCP) server for accessing Major League Baseball statistics. It combines the MLB Stats API and the pybaseball library (Statcast, FanGraphs, Baseball Reference) to provide structured baseball data to MCP-compatible clients like Claude Desktop.

How to use MLB Stats MCP Server?

Install uv, create a virtual environment (uv venv), activate it, and install dependencies (uv pip install -e .). Set the ANTHROPIC_API_KEY environment variable and optionally configure logging. Then add the server to your MCP client (e.g., Claude Desktop) using the provided JSON configuration.

Key features of MLB Stats MCP Server

  • Combines MLB Stats API, Statcast, FanGraphs, and Baseball Reference data.
  • Generates matplotlib plots returned as base64-encoded images.
  • Configurable logging via environment variables (MLB_STATS_LOG_LEVEL, MLB_STATS_LOG_FILE).
  • Comprehensive test suite using pytest and pytest-asyncio.
  • Linting and code formatting enforced by Ruff and pre-commit hooks.
  • Option to install automatically via Smithery for Claude Desktop.

Use cases of MLB Stats MCP Server

  • Query player statistics, game logs, and team data from multiple MLB sources.
  • Retrieve Statcast metrics (exit velocity, launch angle, etc.) for advanced analysis.
  • Generate and view matplotlib visualizations of baseball data.
  • Integrate real-time baseball data into AI assistants using MCP protocol.

よくある質問

1

What dependencies does the server require?

Python, `uv` (package manager), and libraries including `mcp[cli]`, `mlb-statsapi`, `httpx`, `pytest`, `pytest-asyncio`, and `matplotlib` (for plotting).

2

How do I install the server?

Run `uv venv && source .venv/bin/activate && uv pip install -e .` in the project directory. Alternatively, install via Smithery with `npx -y @smithery/cli install @etweisberg/mlb-mcp --client claude`.

3

How do I configure the server for Claude Desktop?

Add an entry to `claude_desktop_config.json` with the `command` set to your `uv` path, `args` pointing to `python -m mlb_stats_mcp.server`, and `env` for logging and API key.

4

How do I configure logging?

Set the environment variables `MLB_STATS_LOG_LEVEL` (e.g., DEBUG, INFO) and `MLB_STATS_LOG_FILE` (path to log file). If the log file is not set, logs go to stdout.

5

What data sources are available through the tools?

The server provides tools for the MLB Stats API, Statcast data, and supplemental `pybaseball` functions for FanGraphs and Baseball Reference statistics.

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