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FastMCP Todo Server MCP Server

@DanEdens

RepositoryHomepage

Basic information

Category

Productivity

Transports

stdio

Author

DanEdens

About FastMCP Todo Server MCP Server

A comprehensive MCP-based todo management system, that serves as a central nervous system for Madness Interactive, a multi-project task coordination workshop.

#mcp-server

FastMCP Todo Server MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "fastmcp-todo-server": {
      "command": "python",
      "args": [
        "-m",
        "src.Omnispindle.stdio_server"
      ]
    }
  }
}

FastMCP Todo Server MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is FastMCP Todo Server?

FastMCP Todo Server is a Python FastMCP server providing 38 tools for AI agents to manage tasks, capture knowledge, coordinate sessions, track epic goals (quests), and access project context through a single standardized interface. It integrates with Auth0 for authentication and can run in API, hybrid, local, or auto operation modes. Designed for multi-project AI-assisted development labs.

How to use FastMCP Todo Server?

Install via pip install omnispindle. Run the stdio server (omnispindle-stdio) for Claude Desktop or the HTTP web server (omnispindle/omnispindle-server) for authenticated endpoints. Set environment variables like OMNISPINDLE_MODE, OMNISPINDLE_TOOL_LOADOUT, and MCP_USER_EMAIL. For Claude Desktop, add a JSON entry to claude_desktop_config.json with the command omnispindle-stdio and required environment variables.

Key features of FastMCP Todo Server

  • Todo management with full metadata, priority, target agent, and change detection
  • Knowledge capture with language, topic, tags, and semantic vector search
  • Session tracking with genealogy trees, forking, and spawning
  • Quest system for multi-step objectives with progress reports
  • Context bundles giving agents a full project picture in one call
  • Zero‑config Auth0 device flow authentication
  • Tool loadouts (full, basic, minimal, etc.) to control tool availability
  • Operation modes: API, hybrid, local, auto

Use cases of FastMCP Todo Server

  • AI agents creating, updating, and completing tasks across multiple projects
  • Capturing lessons learned and retrieving them via text or semantic similarity
  • Coordinating AI work

Comments

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