bet-mcp
Related Servers
Alternatives to bet-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to fetch live football odds and team form, and flag matches where the market price diverges from a simple form-based estimate.Eclipse Public 2.0
- FlicenseAqualityDmaintenanceProvides live football data through MCP tools, enabling users to fetch today's matches and top scorers for competitions like the Premier League or World Cup.2-
- AlicenseNot gradedqualityDmaintenanceMCP server for football-data.org API providing access to football data like standings, matches, teams, and scorers.MIT
- AlicenseAqualityBmaintenanceMCP server that connects AI assistants to the Statos football analytics platform, enabling natural language queries for match predictions, betting picks, league information, and admin market-suppression controls.7186 npmMIT
- AlicenseAqualityBmaintenanceEnables querying probable football lineups with per-player start probability and expected fantasy points, match analysis, model picks, and a verified public track record across major European leagues through MCP tools.1773 npmMIT
- FlicenseNot gradedqualityBmaintenanceProvides live football data from API-Football over HTTP, enabling queries for upcoming matches, recent results, current standings, injuries, live matches, and team search through MCP tools.-
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose with no overlap: fair.compute calculates fair odds, fixtures.list shows upcoming matches, match.snapshot provides team form and stats, odds.prematch lists market odds, and value.detect identifies value bets. The descriptions are specific and unambiguous, making it easy for an agent to select the right tool.
All tool names follow a consistent dot-separated pattern (e.g., fair.compute, fixtures.list) with a clear category.action structure. This predictable naming convention enhances readability and usability across the tool set.
With 5 tools, the server is well-scoped for its betting/soccer analysis domain. Each tool serves a unique and essential function, from data retrieval to analysis, without being overly sparse or bloated, making the count appropriate for the purpose.
The tool set covers core workflows for betting analysis: fetching fixtures, getting match stats, computing fair odds, retrieving market odds, and detecting value bets. A minor gap is the lack of tools for in-play odds or historical data, but agents can work around this with the provided tools.