Soccer MCP Server

Soccer MCP Server

By MCP-Mirror GitHub

Mirror of

soccer mcp-server
Overview

what is Soccer MCP Server?

Soccer MCP Server is a Python-based server that implements the Model Context Protocol (MCP) to provide access to football statistics and live match data using the API-Football service.

how to use Soccer MCP Server?

To use the Soccer MCP Server, you need to set up an API key from RapidAPI, clone the repository, install dependencies, and run the server either using Docker or directly with Python.

key features of Soccer MCP Server?

  • Access to league data including standings and fixtures
  • Detailed player statistics and profiles
  • Live match data with real-time updates
  • Match analysis tools for in-depth statistics

use cases of Soccer MCP Server?

  1. Retrieving live match statistics for ongoing games.
  2. Accessing historical data for player performance analysis.
  3. Integrating football data into applications for enhanced user engagement.

FAQ from Soccer MCP Server?

  • How do I get an API key?

You can obtain an API key by creating an account on RapidAPI and subscribing to the API-Football API.

  • Can I run the server without Docker?

Yes, you can run the server directly using Python after setting the necessary environment variables.

  • What programming language is used for the server?

The server is implemented in Python.

Content

Soccer MCP Server

A Python server implementing Model Context Protocol (MCP) for football (soccer) statistics and live match data using the API-Football service.

Overview

This server provides a comprehensive set of tools for accessing football data through the API-Football API. It serves as a bridge between applications and football data services, offering both live match information and historical statistics for leagues, teams, and players worldwide.

Features

  • League data (standings, fixtures, schedules)
  • Team information and fixtures
  • Player statistics and profiles
  • Live match data (events, statistics, timelines)
  • Match analysis (statistics, events)

Configuration

This server requires an API key from RapidAPI for the API-Football service:

  1. Create an account on RapidAPI
  2. Subscribe to the API-Football API
  3. Set the environment variable:
    RAPID_API_KEY_FOOTBALL=your_api_key_here
    

Tools

League Data

  • get_league_id_by_name

    • Retrieve the league ID for a given league name
    • Example: get_league_id_by_name(league_name="Premier League")
  • get_all_leagues_id

    • Retrieve a list of all football leagues with IDs
    • Can be filtered by country
    • Example: get_all_leagues_id(country=["England", "Spain"])
  • get_standings

    • Retrieve league standings for multiple leagues and seasons
    • Can be filtered by team
    • Example: get_standings(league_id=[39, 140], season=[2022, 2023])
  • get_league_info

    • Retrieve information about a specific football league
    • Example: get_league_info(league_name="Champions League")
  • get_league_fixtures

    • Retrieves all fixtures for a given league and season
    • Example: get_league_fixtures(league_id=39, season=2023)
  • get_league_schedule_by_date

    • Retrieves the schedule for a league on specified dates
    • Example: get_league_schedule_by_date(league_name="Premier League", date=["2024-03-08", "2024-03-09"], season="2023")

Player Data

  • get_player_id

    • Retrieve player IDs and information for players matching a name
    • Example: get_player_id(player_name="Messi")
  • get_player_profile

    • Retrieve a player's profile by their last name
    • Example: get_player_profile(player_name="Messi")
  • get_player_statistics

    • Retrieve detailed player statistics by seasons and league name
    • Example: get_player_statistics(player_id=154, seasons=[2022, 2023], league_name="La Liga")
  • get_player_statistics_2

    • Retrieve detailed player statistics by seasons and league ID
    • Example: get_player_statistics_2(player_id=154, seasons=[2022, 2023], league_id=140)

Team Data

  • get_team_fixtures

    • Returns past or upcoming fixtures for a team
    • Example: get_team_fixtures(team_name="Manchester United", type="past", limit=3)
  • get_team_fixtures_by_date_range

    • Retrieve fixtures for a team within a date range
    • Example: get_team_fixtures_by_date_range(team_name="Liverpool", from_date="2023-09-01", to_date="2023-09-30", season="2023")
  • get_team_info

    • Retrieve basic information about a specific team
    • Example: get_team_info(team_name="Real Madrid")

Match/Fixture Data

  • get_fixture_statistics

    • Retrieves detailed statistics for a specific fixture
    • Example: get_fixture_statistics(fixture_id=867946)
  • get_fixture_events

    • Retrieves all in-game events for a fixture (goals, cards, subs)
    • Example: get_fixture_events(fixture_id=867946)
  • get_multiple_fixtures_stats

    • Retrieves statistics for multiple fixtures at once
    • Example: get_multiple_fixtures_stats(fixture_ids=[867946, 867947, 867948])

Live Match Data

  • get_live_match_for_team

    • Checks if a team is currently playing live
    • Example: get_live_match_for_team(team_name="Chelsea")
  • get_live_stats_for_team

    • Retrieves live in-game stats for a team in a match
    • Example: get_live_stats_for_team(team_name="Liverpool")
  • get_live_match_timeline

    • Retrieves real-time timeline of events for a team's live match
    • Example: get_live_match_timeline(team_name="Manchester City")

Usage

The server is implemented using the Fast MCP framework and can be run as a standalone service.

# Start the server
python soccer_server.py
# or
mcp run soccer-server.py

Configuration

  • The server runs with a 30-second timeout for more reliable operation
  • Signal handlers are implemented for graceful shutdown (Ctrl+C)

Usage with Claude Desktop

  1. Clone this repository
git clone https://github.com/obinopaul/soccer-mcp-server.git
cd soccer-mcp-server
  1. Install dependencies
pip install -r requirements.txt
  1. Build the Docker image
docker build -t soccer_server .
  1. Run the Docker container (ensure your API key is passed as an environment variable)
docker run -d -p 5000:5000 -e RAPID_API_KEY_FOOTBALL=your_api_key_here --name soccer_server soccer_server
  1. Add this to your claude_desktop_config.json:
{
  "mcpServers": {
    "soccer_server": {
      "command": "docker",
      "args": [
        "exec",
        "-i",
        "soccer_server",
        "python",
        "soccer_server.py"
      ],
      "env": {
        "RAPID_API_KEY_FOOTBALL": "your_api_key_here"
      }
    }
  }
}

Option 2: Direct Python Execution

  1. Clone this repository
git clone https://github.com/obinopaul/soccer-mcp-server.git
cd soccer-mcp-server
  1. Install dependencies
pip install -r requirements.txt
  1. Set the API key environment variable
export RAPID_API_KEY_FOOTBALL=your_api_key_here
  1. Add this to your claude_desktop_config.json, adjusting the Python path as needed:
{
  "mcpServers": {
    "soccer_server": {
      "command": "/path/to/your/python",
      "args": [
        "/path/to/soccer_server.py"
      ],
      "env": {
        "RAPID_API_KEY_FOOTBALL": "your_api_key_here"
      }
    }
  }
}

After adding your chosen configuration, restart Claude Desktop to load the soccer server. You'll then be able to use all the football data tools in your conversations with Claude.

Technical Details

The server is built on:

  • API-Football via RapidAPI
  • MCP for API interface
  • Pydantic for input validation
  • Requests for API communication

License

This MCP server is available under the MIT License.

No tools information available.

Mirror of

image-generation mcp-server
View Details

Secure MCP server for analyzing Excel files with oletools

oletools mcp-server
View Details

Mirror of

bigquery mcp-server
View Details

MCPHubs is a website that showcases projects related to Anthropic's Model Context Protocol (MCP)

mcp mcp-server
View Details
Dealx
Dealx by DealExpress

-

dealx mcp-server
View Details

Google Analytics MCP server for accessing analytics data through tools and resources

google-analytics mcp-server
View Details

A Python-based MCP server that lets Claude run boto3 code to query and manage AWS resources. Execute powerful AWS operations directly through Claude with proper sandboxing and containerization. No need for complex setups - just pass your AWS credentials and start interacting with all AWS services.

aws mcp-server
View Details