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openfoot mcp

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npm openfoot-mcpstdioMITupdated 8d ago

MCP server for the OpenFootAPI football intelligence API. Gives an LLM client real football data β€” fixtures, standings, lineups, live events, shot-level xG with pitch coordinates, and model-derived fair odds β€” instead of a hallucinated scoreline.

SourceWebsite

What can you do with openfoot mcp?

openfoot-mcp

MCP server for the OpenFootAPI football intelligence API. Gives an LLM client real football data β€” fixtures, standings, lineups, live events, shot-level xG with pitch coordinates, and model-derived fair odds β€” instead of a hallucinated scoreline.

12 tools, 1 prompt. Node β‰₯ 20, no build step.

Install

npx openfoot-mcp

Set your API key in the environment. Free tier: 5,000 requests/month. Get a key at openfootapi.com/pricing.

Claude Desktop / Claude Code

{
  "mcpServers": {
    "openfoot": {
      "command": "npx",
      "args": ["-y", "openfoot-mcp"],
      "env": { "OPENFOOT_API_KEY": "of_live_..." }
    }
  }
}

Cursor / Windsurf / any stdio MCP client

Same block, in that client's MCP config file.

Tools

Tool What it returns
openfoot_competitions Supported competitions, season metadata, data source and licence per competition
openfoot_search Free-text team/competition name β†’ stable IDs
openfoot_matches Fixtures and results, filtered by date / competition / team / status / season / round, cursor-paginated
openfoot_standings Standings table for a competition and season
openfoot_match_lineups Starting XI, bench, formation
openfoot_match_events Goals, cards, substitutions, commentary timeline
openfoot_match_xg One entry per shot: pitch coordinates + xG value
openfoot_match_context Derived context β€” form, head-to-head, pre-computed signals
openfoot_league_xg League xG table: xG for, xG against, over/under-performance vs actual goals
openfoot_odds Bookmaker benchmark + implied fair probabilities. Informational, not betting advice
openfoot_quota Remaining monthly quota β€” this call does not consume quota
openfoot_health Reachability check. Works without an API key

Prompt: scout_team_form β€” resolve a team, pull its last 5 matches, read the xG behind the results.

Start with openfoot_search to resolve IDs. Guessing IDs wastes quota: 404s and empty results are metered like any other request.

Coverage, stated honestly

The catalogue lists 75 competitions. Depth is not uniform, and the catalogue is wider than the deep coverage.

  • Deepest: Bundesliga, 2. Bundesliga, DFB Pokal, Superliga RomΓ’niei
  • Expanded European: Eredivisie, Primeira Liga, SΓΌper Lig, Pro League, Scottish Premiership
  • Historical / analytics only: Premier League, La Liga, Serie A, Ligue 1 (xG is Understat-derived)

Call openfoot_competitions and check your league before you build on it.

Quota behaviour

  • Free: 5,000 requests/month, 15 req/min. Developer $14/month: 250,000 requests/month, 100 req/min, includes xG, shot maps, lineups, live events and fair odds. Pro $39/month: 2,000,000/month, 250 req/min.
  • No overage billing. When the quota is spent the API returns 429; this server surfaces that as a quota_or_rate_limit error rather than an empty result.
  • Quota resets on the 1st of the month, UTC.
  • Every request is metered, including 404s and empty results.

When this is the wrong tool

  • High-frequency live polling across many competitions. A monthly quota is the wrong shape for it β€” a per-day or per-second plan elsewhere will cost you less.
  • Leagues outside the deep-coverage list above.
  • You need a contractual SLA, uptime credits or a named support contact. Not offered at these prices.

Development

npm install
npm run smoke   # boots the server over stdio, lists tools, calls health

npm run smoke works without an API key: openfoot_health returns live status, and a key-gated tool returns a readable missing_api_key error so you can tell "not configured" from "broken".

MIT.