Labsco
obinopaul logo

Soccer MCP Server

โ˜… 5

from obinopaul

Provides football (soccer) statistics and live match data using the API-Football service.

๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅโœ“ VerifiedAccount requiredNeeds API keys

MseeP.ai Security Assessment Badge

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)

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")

Technical Details

The server is built on:

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