MCP Football Server
Provides real-time access to football (soccer) data including fixtures, standings, teams, players, transfers, and injuries through the API-Football service via the Model Context Protocol.
README
MCP Football Server
MCP Football Server is a lightweight Model Context Protocol (MCP) tool server that provides football (soccer) data to clients and AI assistants via API-Football. Designed for sports analysts and general users, it enables real-time access to fixtures, standings, teams, players, and more.
Features
MCP Football Server exposes a suite of tools that an AI or application can call to fetch football data. Key features include:
- Fixtures by date
- League standings
- Team and player info
- Transfers, injuries, head-to-head
- Easy integration with MCP clients
Setup (Local Server)
-
Clone & install dependencies
git clone https://github.com/yalmeidarj/mcp-football-server.git cd mcp-football-server npm install -
Start in development
npm run dev -
Or build for production
npm run build npm start
The server communicates via STDIN/STDOUT using MCP JSON-RPC. The build step transpiles source files into the build/ directory, and npm start runs the compiled server GitHub. After building, you can also use the football command (defined as a binary in the package) to start the server GitHub.
Client Setup (Claude Desktop)
To use with Claude Desktop:
- Add the following to your
claude_desktop_config.json:{ "mcpServers": { "football": { "command": "node", "args": ["<path_to>/build/main.js"], "env": { "RAPIDAPI_KEY": "<your_rapidapi_key>", "RAPIDAPI_HOST": "api-football-v1.p.rapidapi.com" } } } }
Claude will launch the server automatically and use its tools for football-related queries.
Tech Stack
- Node.js + TypeScript
- MCP SDK for stdio-based tool serving
- node-fetch for API calls
- Zod for parameter validation
License
Released under the ISC License.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.