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get_status

Check the current status of the MCTS MCP Server, enabling real-time updates on Monte Carlo Tree Search operations for deep analysis of topics or text inputs.

Instructions

Get the current MCTS status

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The core handler function for the 'get_status' MCP tool. It returns a dictionary containing the current MCTS server state, including initialization status, current question, chat ID, provider/model config, iterations completed, best score, and API key status.
    def get_status() -> dict[str, Any]: """ Get the current MCTS status and configuration. Returns comprehensive information about the current state of the MCTS system including initialization status, current question, provider settings, and results. Returns: Dict containing all current status information and configuration """ return { "initialized": server_state["initialized"], "current_question": server_state["current_question"], "chat_id": server_state["chat_id"], "provider": server_state["provider"], "model": server_state["model"], "iterations_completed": server_state["iterations_completed"], "best_score": server_state["best_score"], "has_analysis": bool(server_state["best_analysis"]), "available_providers": ["gemini"], "api_key_configured": bool(os.getenv("GEMINI_API_KEY") or os.getenv("GOOGLE_API_KEY")) }
  • The input schema definition for the 'get_status' tool, specifying an empty object (no parameters required). Defined within the tool registration.
    inputSchema={"type": "object", "properties": {}}
  • Registration of the 'get_status' tool in the @server.list_tools() handler, providing name, description, and input schema.
    types.Tool( name="get_status", description="Get the current MCTS status", inputSchema={"type": "object", "properties": {}} ),

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