Skip to main content
Glama
azumausu

Shogi MCP Server

by azumausu

Related Servers

Alternatives to Shogi MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to play and analyze chess, validate moves, and view a live synchronized visual board in the browser through MCP tools.
      13 npm
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      An MCP bridge that provides an interface to UCI-compatible chess engines like Stockfish for analyzing positions and retrieving best moves. It enables users to interact with chess engines through commands for position management, engine information, and move calculation.
      2
      MIT
    • F
      license
      A
      quality
      D
      maintenance
      Enables chess analysis and move generation using the Stockfish engine via MCP tools, allowing clients to evaluate positions, get best moves, apply moves, and visualize boards.
      7
      -
    • A
      license
      A
      quality
      B
      maintenance
      MCP chess runtime that lets LLMs play, analyze, and adapt strength by exposing Stockfish, human move likelihood (Maia3), and Lichess statistics, with the LLM handling strategy and the server handling computation.
      13
      274 npm
      AGPL 3.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      A powerful chess engine and game server built with the Model Context Protocol (MCP). Play chess against AI, analyze positions, and integrate chess functionality into your AI applications.
      13 npm
      1
      ISC

    TDQS

    B3.1/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: 'analyze' evaluates the current position, 'eval_at' analyzes a specific move from the current position, and 'ping' is a health check. There is no overlap in functionality, making tool selection unambiguous for an agent.

    Naming Consistency4/5

    The naming is mostly consistent with a verb-based pattern ('analyze', 'eval_at', 'ping'), though 'eval_at' uses an underscore while the others do not, and 'ping' is a simple verb rather than a descriptive action. This minor deviation keeps the set readable but not perfectly uniform.

    Tool Count3/5

    With only 3 tools, the set feels thin for a Shogi server, as it lacks operations like move generation, game state management, or board manipulation. While the tools cover core analysis, the count is borderline for the domain's potential scope.

    Completeness2/5

    The tool surface has significant gaps for a Shogi server: there are no tools for creating or modifying game states (e.g., making moves, resetting boards), accessing game history, or handling game rules. This incompleteness will likely cause agent failures in broader Shogi-related tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues