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bartokulus/openfoot-mcp

by Various

MCP server for OpenFoot API — football fixtures, standings, lineups, live events, shot-level xG and match context for AI agents.

MCP

bartokulus/openfoot-mcp

Added 8 Sept 2026

#ai-agents #football #football-api #mcp #model-context-protocol #soccer #sports-data #xg

Overview

MCP server for OpenFoot API that exposes football fixtures, standings, lineups, live events, shot-level xG, and match context to AI agents. Written in JavaScript, it acts as a bridge between the OpenFoot API and MCP-compatible clients.

Best for

Best for
Developers building AI agents that need live football data without custom API integration.

Use cases

  • Fetch live match events and lineups for real-time analysis
  • Retrieve fixtures and standings for league tracking
  • Access shot-level xG data for performance evaluation

How to use

Install

npx openfoot-mcp

Tools exposed

  • openfoot_competitions
  • openfoot_search
  • openfoot_matches
  • openfoot_standings
  • openfoot_match_lineups
  • openfoot_match_events
  • openfoot_match_xg
  • openfoot_match_context
  • openfoot_league_xg
  • openfoot_odds
  • openfoot_quota
  • openfoot_health

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf

Notes

MCP server for OpenFoot API that exposes football fixtures, standings, lineups, live events, shot-level xG, and match context to AI agents. Written in JavaScript, it acts as a bridge between the OpenFoot API and MCP-compatible clients.

0 stars on GitHub. Last updated 2026-09-07. Licensed MIT.

Use cases

  • Fetch live match events and lineups for real-time analysis
  • Retrieve fixtures and standings for league tracking
  • Access shot-level xG data for performance evaluation

Pros

  • Direct access to structured football data via MCP
  • Covers multiple data types in one server
  • Lightweight JavaScript implementation

Cons

  • No stars or community traction yet
  • Depends on OpenFoot API availability and limits
  • Limited to football data only

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Direct access to structured football data via MCP
  • Covers multiple data types in one server
  • Lightweight JavaScript implementation

Cons

  • No stars or community traction yet
  • Depends on OpenFoot API availability and limits
  • Limited to football data only
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