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Alternatives to 250game MCP

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents and web players to join shared auto-battler rooms, read turn snapshots, submit actions, and spectate deterministic matches with replays and pluggable packs/modes.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Windows-local MCP for Steam Balatro: tool-calling AI reads player-visible state, chooses and executes native actions, confirms results, and saves local experience. Glama's Linux sandbox can introspect MCP and run game-independent tools such as calculate, but cannot connect to Balatro on the user's Windows machine. Without the local game, health reports disconnected.
      4
      12
      3
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI and humans to play 10 board, card, and dice games together via MCP tools, with seat-based multiplayer and server-side hidden-hand isolation.
      22
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP-compatible AI agents to execute typed live-app actions over WebSocket, allowing agents to directly interact with real application state without browser automation or scraping.
      21
      Business Source 1.1

    TDQS

    A3.5/5.0

    Scored across 16 tools

    Disambiguation4/5

    Most tools map to clearly separate actions (join/leave, draw/discard, chat send/read, state/wait). The main overlap is among play_cards, select_cards, and select_put_method, plus respond_cha vs respond_anti_calc, but descriptions disambiguate each by the pending.kind or phase they target, so an agent can still choose correctly with the state returned by get_state.

    Naming Consistency5/5

    All 16 names use snake_case with a consistent verb_noun pattern (get_state, set_ready, play_cards, draw_card, respond_cha, join_game, send_chat, etc.). Domain jargon like 'cha' and 'calc' appears, but it stays within the same predictable naming convention.

    Tool Count4/5

    16 tools is at the high end but justified by a multi-phase card game with distinct pending-response steps (putMethod, cards, cha, anti-calc). Each tool maps to a real gameplay or session operation rather than duplicate surfaces, so the count is slightly heavy but reasonable.

    Completeness4/5

    The surface covers the full session lifecycle: join/leave/reconnect, ready, play/draw/discard, all pending response phases, round-ending calc, chat, profile, state polling, and waiting. Minor gaps exist (no explicit reconnect or room-list tool), but join_game with playerId lets agents work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues