openfoot-mcp
Related Servers
Alternatives to openfoot-mcp
No user-submitted related servers found.
Related Servers
- AlicenseAqualityBmaintenanceEnables AI assistants to query live football data, including fixtures, live scores, standings, statistics, betting odds, and full odds movement history for corner and card lines.1135 npmMIT
- FlicenseNot gradedqualityDmaintenanceEnables natural language querying of football/soccer data via the API-Football service, providing access to leagues, teams, players, fixtures, standings, and statistics.2-
- AlicenseAqualityBmaintenanceProvides football fixtures, real results, and bet settlement with odds arithmetic, enabling AI agents to devig markets, evaluate prices, and settle picks without an API key.7MIT
- FlicenseNot gradedqualityDmaintenanceProvides tools to query football match data, odds, standings, and team statistics via natural language, integrating with the football-scraper-api.-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to retrieve soccer match details, live scores, fixtures by date, and win/draw/loss predictions through the Sportmonks Football v3 API.51 npmMIT
- AlicenseBqualityCmaintenanceProvides AI agents with live, grounded sports data including model probabilities, track records, and European soccer and tennis arbitrage opportunities, so they answer from real numbers instead of stale guesses.1345 npm1MIT
TDQS
Scored across 12 tools
Each tool targets a distinct data domain, from standings and lineups to events and xG. Minor overlap exists between match_context and odds since both derive probabilities, but the descriptions clarify that context is a broader dossier while odds is dedicated betting-market output.
All tools follow a consistent openfoot_ prefix followed by a clear resource or action name, using snake_case throughout. Whether a tool describes matches, standings, or quota, the naming pattern is predictable and unambiguous.
Twelve tools is a well-scoped number for a football data API. Each tool represents a meaningful data product, including meta tools like quota and health, with no redundant or filler endpoints.
The surface covers the core football data workflow: identifying competitions, searching teams, fetching matches, standings, lineups, events, xG, and odds. It lacks detailed team or player profile endpoints, but for the apparent match-analysis focus, the coverage is strong with only minor gaps.