FastMCP Todo Server

# CLAUDE.md This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. ## Development Commands ### Running the Server **Stdio MCP Server (Primary)**: ```bash # Run the stdio-based MCP server python stdio_main.py # Or as a module python -m src.Omnispindle.stdio_server ``` **Web Server (for authenticated endpoints)**: ```bash # Development - run the FastAPI web server python3.11 -m src.Omnispindle # Using Makefile make run # Runs the server and publishes commit hash to MQTT ``` ## Architecture Overview Omnispindle is a FastMCP-based todo management system that serves as part of the Madness Interactive ecosystem. It provides AI agents with standardized tools for task management through the Model Context Protocol (MCP). It supports a dashboard ### Core Components **MCP Server (`src/Omnispindle/`)**: - `stdio_server.py` - Primary MCP server using FastMCP with stdio transport - `__init__.py` - FastAPI web server for authenticated endpoints - `tools.py` - Implementation of all MCP tools for todo/lesson management - `database.py` - MongoDB connection and operations - `auth.py` - Authentication middleware for web endpoints - `middleware.py` - Custom middleware for error handling and logging **Data Layer**: - MongoDB for persistent storage (todos, lessons, audit logs) - Collections: todos, lessons, explanations, todo_logs - MQTT for real-time messaging and cross-system coordination **Dashboard (`Todomill_projectorium/`)**: - Node-RED based visual dashboard - Real-time updates via MQTT - JavaScript/HTML components in separate directories for version control ### MCP Tool Interface The server exposes standardized MCP tools that AI agents can call: **Todo Management**: - `add_todo` - Create new tasks with metadata - `query_todos` - Search and filter tasks with MongoDB queries - `update_todo` - Modify existing tasks - `delete_todo` - Remove tasks - `get_todo` - Retrieve single task - `mark_todo_complete` - Complete tasks with optional comments - `list_todos_by_status` - Filter by status (pending, completed, etc.) - `list_project_todos` - Get recent tasks for specific projects - `search_todos` - Text search across todo fields **Knowledge Management**: - `add_lesson` - Capture lessons learned with language/topic tags - `get_lesson` / `update_lesson` / `delete_lesson` - Lesson CRUD operations - `search_lessons` / `grep_lessons` - Search knowledge base - `list_lessons` - Browse all lessons **System Integration**: - `list_projects` - Get available projects from filesystem - `explain` / `add_explanation` - Topic explanations system - `query_todo_logs` - Access audit logs ### Data Structures **Todo Items**: ```python { "todo_id": "uuid", "description": "Task description", "project": "project_name", # Must be in VALID_PROJECTS list "status": "initial|pending|completed", "priority": "Low|Medium|High", "created": timestamp, "completed": timestamp, # if completed "target_agent": "user|AI_name", "metadata": {"key": "value"} # Optional custom fields } ``` **Valid Projects**: See `VALID_PROJECTS` list in `tools.py` - includes madness_interactive, omnispindle, swarmonomicon, todomill_projectorium, etc. ### Configuration **Environment Variables**: - `MONGODB_URI` - MongoDB connection string - `MONGODB_DB` - Database name (default: swarmonomicon) - `MQTT_HOST` / `MQTT_PORT` - MQTT broker settings - `AI_API_ENDPOINT` / `AI_MODEL` - AI integration (optional) - `OMNISPINDLE_TOOL_LOADOUT` - Tool loadout configuration (see Tool Loadouts below) **MCP Integration**: For Claude Desktop stdio transport, add to your `claude_desktop_config.json`: ```json { "mcpServers": { "omnispindle": { "command": "python", "args": ["-m", "src.Omnispindle.stdio_server"], "cwd": "/path/to/Omnispindle", "env": { "OMNISPINDLE_TOOL_LOADOUT": "basic" } } } } ``` **🚀 Zero-Config Authentication**: No setup required! The system automatically: 1. Detects when authentication is needed 2. Opens your browser for Auth0 login 3. Saves tokens locally for future use 4. Works seamlessly across all MCP clients **Manual Authentication (Optional)**: If you need manual token setup: ```bash python -m src.Omnispindle.token_exchange ``` ### Development Patterns **Error Handling**: Uses custom middleware (`middleware.py`) for connection errors and response processing. **Logging**: Comprehensive logging with audit trail via `todo_log_service.py`. **Testing**: Pytest-based test suite in `tests/` directory covering tools, database operations, and server functionality. **Git Workflow**: Deployment handled through git hooks - commit when ready to deploy. **Node-RED Integration**: Dashboard components are extracted to separate files for version control, then imported into Node-RED editor. ### Tool Loadouts Omnispindle supports variable tool loadouts to reduce token usage for AI agents. Configure via the `OMNISPINDLE_TOOL_LOADOUT` environment variable: **Available Loadouts**: - `full` (default) - All 22 tools available - `basic` - Essential todo management (7 tools): add_todo, query_todos, update_todo, get_todo, mark_todo_complete, list_todos_by_status, list_project_todos - `minimal` - Core functionality only (4 tools): add_todo, query_todos, get_todo, mark_todo_complete - `lessons` - Knowledge management focus (7 tools): add_lesson, get_lesson, update_lesson, delete_lesson, search_lessons, grep_lessons, list_lessons - `admin` - Administrative tools (6 tools): query_todos, update_todo, delete_todo, query_todo_logs, list_projects, explain, add_explanation **Usage**: ```bash # Set loadout for stdio server export OMNISPINDLE_TOOL_LOADOUT=minimal export MCP_USER_EMAIL=user@example.com python -m src.Omnispindle.stdio_server # Set loadout for web server export OMNISPINDLE_TOOL_LOADOUT=basic python -m src.Omnispindle # Or in Claude Desktop config { "mcpServers": { "omnispindle": { "env": { "OMNISPINDLE_TOOL_LOADOUT": "basic", "MCP_USER_EMAIL": "user@example.com" } } } } ```