FootballBin MCP Server
Related Servers
Alternatives to FootballBin MCP Server
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.1115 npmMIT
- AlicenseAqualityBmaintenanceProvides AI agents with real football data from the OpenFoot API, including fixtures, standings, lineups, live events, shot-level xG with pitch coordinates, league tables, and fair odds.12237 npmMIT
- FlicenseNot gradedqualityDmaintenanceProvides live football match data from Sofascore, including formations, injuries, betting odds, and league positions, enabling natural language queries about matches.1-
- FlicenseNot gradedqualityDmaintenanceEnables natural language querying of football/soccer data via the API-Football service, providing access to leagues, teams, players, fixtures, standings, and statistics.3-
- FlicenseNot gradedqualityDmaintenanceProvides tools to query football match data, odds, standings, and team statistics via natural language, integrating with the football-scraper-api.-
- AlicenseAqualityAmaintenanceProvides AI assistants with live football data for 90+ leagues including tables, results, fixtures, model probabilities, and Monte Carlo season projections from football-charts.com.10614 npm1MIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and distinct by default.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against for patterns or conventions.
One tool is too few for a server focused on football match predictions, as it suggests a limited scope that may not cover related operations like historical data, team statistics, or user preferences. This feels thin for the apparent domain.
The server is severely incomplete for football predictions, as it only provides predictions without supporting tools for data retrieval, updates, or other predictive features like odds analysis or match scheduling. This creates significant gaps for agent workflows.