FastMCP Todo Server

Name: FastMCP Todo Server
Author: DanEdens

@DanEdens

About FastMCP Todo 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

Basic information

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"
      ]
    }
  }
}

Tools

No tools detected

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

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