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College Football Data MCP Server

@MCP-Mirror

リポジトリ

College Football Data MCP Server について

Mirror of

#college-football#data-server#mcp-server

基本情報

カテゴリ

データと分析

トランスポート

stdio

公開者

MCP-Mirror

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": {
    "lenwood_cfbd-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "cfbd",
        "--client",
        "claude"
      ]
    }
  }
}

ツール

9

Retrieve game data

Get team records

Access team game statistics

Query play-by-play data

Analyze drive information

View play statistics

Check team rankings

See win probabilities

Access detailed game statistics and analytics

概要

What is College Football Data MCP Server?

An MCP server that provides AI assistants with access to comprehensive college football statistics sourced from the College Football Data API. It enables users to query stats using natural language within Claude Desktop.

How to use College Football Data MCP Server?

Install via Smithery or clone the repository, set up a Python 3.11+ virtual environment with UV, and add your College Football Data API key to a .env file. Then configure the server in Claude Desktop's claude_desktop_config.json.

Key features of College Football Data MCP Server

  • Provides schema documentation for games, records, plays, drives, rankings.
  • Offers tools to query endpoints like get-games, get-records, get-plays.
  • Includes pre-built prompts for game, team, trend, and rivalry analysis.
  • Users can run queries using natural language.
  • Uses the free College Football Data API (with rate limits).

Use cases of College Football Data MCP Server

  • Get detailed analysis of a specific college football game.
  • Compare the season performances of two teams.
  • Analyze historical rivalry matchups.
  • Review team rankings and pregame win probabilities.
  • Study play-by-play data and drive summaries.

FAQ from College Football Data MCP Server

What are the prerequisites for using this server?

Python 3.11 or higher, the UV package manager, and a free College Football Data API key.

What are the API limits?

The free tier has limited requests per minute. Patreon subscribers to College Football Data get higher rate limits.

How do I troubleshoot common issues?

Verify your API key in both the .env and claude_desktop_config.json files, check for rate limiting, and confirm internet connectivity.

Can I update the server after installation?

Yes, pull the latest files, uninstall the existing package, delete build artifacts, reinstall the package, and restart the server.

Is there a sample query I can try?

Yes. Asking "What was the largest upset among FCS games during the 2014 season?" returns a detailed analysis, including Eastern Washington defeating Washington.

コメント

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