What data sources does this server use?
It uses the College Football Data API V2 (collegefootballdata.com).
College Football Data MCP Server
@lenwood
基本信息
关于 College Football Data MCP Server
An MCP server enabling CFBD API queries within Claude Desktop.
College Football Data MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"cfbd-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"cfbd",
"--client",
"claude"
]
}
}
}College Football Data MCP Server 工具
9Retrieve 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
概览
What is College Football Data MCP Server?
An MCP server that provides access to college football statistics and data from the College Football Data API V2, enabling AI assistants to query game results, team records, player stats, rankings, and win probabilities using natural language. It is primarily for use within Claude Desktop.
How to use College Football Data MCP Server?
Install via Smithery with npx -y @smithery/cli install cfbd --client claude or clone the repository, create a virtual environment with uv, install dependencies, and set your CFB_API_KEY in a .env file. Start the server with uv run cfbd-mcp-server, then add the server configuration to your Claude Desktop config file and restart Claude Desktop.
Key features of College Football Data MCP Server
- Query game results, team records, and player statistics
- Access play-by-play data and drive summaries
- Retrieve team rankings across multiple polls
- Get pregame win probabilities and advanced box scores
- Use pre-built analysis templates (analyze-game, compare-teams, etc.)
Use cases of College Football Data MCP Server
- Analyze a specific college football game's details and performance
- Compare two teams’ season statistics and rankings
- Identify the largest upsets in a given season
- Track historical rivalry matchups and trends
常见问题
What are the runtime requirements?
Python 3.11 or higher and the UV package manager are required. A CFB API key is also needed.
How do I handle rate limiting?
The free API tier has limited requests per minute. Use efficient queries, consider caching, or subscribe to CFBD Patreon for higher limits. Handle rate limit errors gracefully.
How do I update the server after installation?
Run `git pull` in the project directory, uninstall the old package, delete build artifacts, reinstall with `uv pip install -e .` and `uv sync --dev --all-extras`, then restart the server and Claude Desktop.
Where can I get help if issues arise?
Open a GitHub issue, review the API documentation at apinext.collegefootballdata.com, or check the College Football Data Discord server.
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