⚽️ 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

• --\n\n## 🎥 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

• Register this server in your MCP client (e.g., Claude for Desktop).

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"
          ]
      }
  }
}

• --\n\n## 🛠️ Tools The follwing tool is exposed to MCP clients: \n\n### get_livescores()

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

• --\n\n## 📝 License
• This project is licensed under the MIT License. See the LICENSE file for details.
• Built with Model Context Protocol