What API key is required?
A RapidAPI key subscribed to the API-Football service, set as the environment variable `RAPID_API_KEY_FOOTBALL`.
Soccer MCP Server
@MCP-Mirror
Basic information
About Soccer MCP Server
Mirror of
Soccer MCP Server config
No standard config provided
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RepositorySoccer MCP Server tools
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Overview
What is Soccer MCP Server?
A Python server implementing the Model Context Protocol (MCP) for football (soccer) statistics and live match data. It acts as a bridge between applications and the API-Football service via RapidAPI, providing tools for leagues, teams, players, and live match information.
How to use Soccer MCP Server?
Obtain a RapidAPI key for the API-Football service and set it as the environment variable RAPID_API_KEY_FOOTBALL. Run the server with python soccer_server.py or mcp run soccer-server.py. Integrate with Claude Desktop using either Docker or direct Python execution by configuring claude_desktop_config.json.
Key features of Soccer MCP Server
- Retrieve league standings, fixtures, and schedules
- Search and fetch team information and fixtures
- Look up player profiles and detailed statistics
- Access live match data for a specific team
- Get in-game events (goals, cards, substitutions)
- Fetch fixture statistics for past or upcoming matches
Use cases of Soccer MCP Server
- Get the current Premier League standings and upcoming fixtures
- Find live match statistics and events for a favorite team
- Compare player performance across seasons and leagues
- Analyze historical match data for multiple fixtures at once
- Retrieve team schedules within a custom date range
Frequently asked questions
How do I run the server?
Execute `python soccer_server.py` or `mcp run soccer-server.py` after installing dependencies and setting the API key.
What are the technical dependencies?
Python, the Fast MCP framework, Pydantic for input validation, and the Requests library for API communication.
How can I integrate this server with Claude Desktop?
Use Docker (build the image, run the container) or direct Python execution, then add the corresponding configuration to `claude_desktop_config.json` and restart Claude Desktop.
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