Adaptive Graph of Thoughts MCP Server

# MCP API Reference This section provides details about the Model Context Protocol (MCP) API endpoints implemented by Adaptive Graph of Thoughts. ## Overview Adaptive Graph of Thoughts implements an MCP server to allow integration with MCP clients such as Claude Desktop. The primary endpoint for MCP communication is `/mcp`. This endpoint accepts `GET`, `POST`, and `DELETE` requests. Configuration values passed by Smithery are supplied as query parameters using dot notation, for example `GET /mcp?server.host=localhost&server.port=8080`. ## Methods The following JSON-RPC methods are supported via the `/mcp` endpoint: ### `initialize` * **Description:** Initializes the session between the MCP client and the Adaptive Graph of Thoughts server. Provides server information to the client. * **Parameters:** See `MCPInitializeParams` in `src/adaptive_graph_of_thoughts/api/schemas.py`. * **Returns:** `MCPInitializeResult` (see `src/adaptive_graph_of_thoughts/api/schemas.py`). ### `asr_got.query` * **Description:** Submits a natural language query to the Adaptive Graph of Thoughts ASR-GoT engine for processing through its 8-stage pipeline. * **Parameters:** See `MCPASRGoTQueryParams` in `src/adaptive_graph_of_thoughts/api/schemas.py`. This includes: * `query` (str): The main query string. * `session_id` (Optional\[str]): An optional session identifier. * `parameters` (Optional\[`ASRGoTQueryExecutionParams`]): Parameters to control query execution, such as: * `include_reasoning_trace` (bool): Whether to include a summary of stage outputs. * `include_graph_state` (bool): Whether to include the full graph state in the response. * Other operational parameters specific to ASR-GoT stages. * `context` (Optional\[`ASRGoTQueryContext`]): Optional initial context for the query. * **Returns:** `MCPASRGoTQueryResult` (see `src/adaptive_graph_of_thoughts/api/schemas.py`). This includes: * `answer` (str): The final answer generated by the pipeline. * `reasoning_trace_summary` (Optional\[str]): A summary of the reasoning steps if requested. * `graph_state_full` (Optional\[`GraphStateSchema`]): The full graph state if requested. * `confidence_vector` (Optional\[list\[float]]): The final confidence assessment. * `session_id` (str): The session ID for this query-response cycle. * `execution_time_ms` (int): The total processing time for the query. ### `shutdown` * **Description:** Signals the server that the client session is ending and the server can prepare for shutdown or resource cleanup if necessary. * **Parameters:** See `ShutdownParams` in `src/adaptive_graph_of_thoughts/api/schemas.py`. * **Returns:** `None`. *Further details on request/response schemas can be found by examining the Pydantic models in `src/adaptive_graph_of_thoughts/api/schemas.py`.*