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Alternatives to fpl-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that equips AI assistants with 33 tools for Fantasy Premier League analytics, including fixtures, squad management, live scores, transfers, captaincy, and price movements, using async access to official FPL endpoints with TTL caching.
      3
      MIT
    • F
      license
      Not graded
      quality
      D
      maintenance
      MCP server for the Fantasy Premier League API, enabling querying of players, teams, fixtures, and your FPL team through any MCP-compatible client.
      -
    • A
      license
      A
      quality
      C
      maintenance
      MCP server for the FootballStack football data API. Gives LLM clients and AI agents (Claude, Cursor) access to real football data — fixtures, standings, lineups, live events, shot-level xG with pitch coordinates, and model-derived fair odds.
      12
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to analyze Fantasy Premier League data, providing tools for player search, fixture analysis, manager comparisons, and strategy prompts for transfer planning and lineup selection.
      19
      25 PyPI
      1
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.
      23
      65 PyPI
      80
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Fantasy Premier League stats and press coverage for AI agents: read-only SQL over FPL player, fixture and gameweek data, plus semantic search over BBC Sport and Guardian articles and FPL injury news. Bring your own PostgreSQL and Pinecone, with bundled ingestion jobs.
      9
      41 PyPI
      MIT