⚽️ Soccerdata MCP Server

MCP-Soccerdata is an open-source Model Context Protocol (MCP) server that connects to the SoccerDataAPI to deliver up-to-date football match information via natural language interactions.
Designed for use with MCP-enabled clients such as Claude Desktop, it allows users to retrieve football data by leveraging large language models (LLMs).

✨ Features

🏟️ Live Football Match Insights

MCP-Soccerdata focuses on delivering real-time information about ongoing football matches around the world.

"What football matches are being played right now?"
"What are the predicted lineups for PSG vs Aston Villa today?"
"Please tell me the scores and number of goals from recent football matches."

→ Provides relevant football data in a structured format, including the detailed categories described below.

- Match Listings & Basic Info

Global list of all currently active matches
Home and away team names
Kickoff time and match date
Stadium details
Current score

- Match Details

Match status: scheduled, in progress, or finished
Goal breakdown: first half, second half, extra time, penalty shootout
Final result: win, draw, or loss

- Key Match Events

Goal events (who scored, when, how)
Substitutions
Yellow and red cards
Penalties

- Team Lineups

Starting XI
Bench players
Injury status
Team formation

- Odds & Betting Information

Win / Draw / Lose odds
Over / Under odds
Handicap betting odds

- League Metadata

League name
Country
Competition format (e.g., regular season, knockout stage)

⚠️ Focused exclusively on live, upcoming, and recently finished matches

🎥 Demo

🚀 Quick Start

Installing via Smithery

To install Amadeus MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @yeonupark/mcp-soccer-data --client claude

Prerequisites

Python 3.12+
uv package manager
Soccerdata API account
MCP-compatible client (e.g., Claude for Desktop)

1. Clone and Setup

Clone the repository

git clone https://github.com/yeonupark/mcp-soccer-data.git
cd mcp-soccer-data

Install dependencies

uv sync

2. Get Your API Key and Set Environment

Create a .env file with your credentials:

AUTH_KEY=your_auth_key

Sign up on https://soccerdataapi.com/ and get your own Auth keys.

3. Configure MCP Client

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
      "mcp-soccer-data": {
          "command": "/ABSOLUTE/PATH/TO/PARENT/FOLDER/uv",
          "args": [
              "--directory",
              "/ABSOLUTE/PATH/TO/PARENT/FOLDER/src/",
              "run",
              "--env-file",
              "/ABSOLUTE/PATH/TO/PARENT/FOLDER/.env",
              "server.py"
          ]
      }
  }
}

🛠️ Tools

The follwing tool is exposed to MCP clients:

`get_livescores()`

-> Returns real-time information about ongoing football matches around the world.

📝 License

This project is licensed under the MIT License. See the LICENSE file for details.
Built with Model Context Protocol

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