Todo
@stilllovee
About Todo
MCP server allows agents to break tasks down and execute them sequentially.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"todo": {
"command": "npx",
"args": [
"github:stilllovee/todo-mcp-server"
]
}
}
}Tools
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Overview
What is Todo?
Todo is a Model Context Protocol (MCP) server providing an autonomous task management system with SQLite persistence, supporting both stdio and HTTP (Streamable) transports for AI agents.
How to use Todo?
Install via npm install or use Docker. For stdio transport, configure in Claude Desktop or GitHub Copilot using npx github:stilllovee/todo-mcp-server or pointing to a local clone. For HTTP transport, start with npm run start:http (port 8123) and connect at http://localhost:8123/mcp.
Key features of Todo
- Generates random 6‑character alphanumeric strings
- Autonomous task management with
addandnexttools - Supports both stdio and HTTP (SSE) transports
- Session isolation – each session has an independent task list
- Persistent SQLite storage (local or Docker volume)
- Fully compliant with MCP specifications
Use cases of Todo
- AI agent autonomously creating and managing task lists from high‑level requests
- Step‑by‑step task execution workflow using the
nexttool - Multi‑session task management (e.g., separate lists per user or conversation)
FAQ from Todo
What transports does Todo support?
Todo supports stdio (stdin/stdout) for standard MCP communication and HTTP with Server‑Sent Events for real‑time notifications.
How do I deploy Todo with Docker?
Use docker-compose up -d for quick start, or manually build the image with docker build -t todo-mcp-server . and run with docker run -d -p 8123:8123 -v todo-mcp-data:/app/data --restart unless-stopped todo-mcp-server.
How is data persisted?
Tasks are stored in an SQLite database. When using Docker, data is kept in a named volume; locally the database file is created in the app’s data directory.
Does Todo support session‑based task management?
Yes. Each session (identified by a session_id) maintains its own separate task list, and the HTTP transport manages sessions with an mcp-session-id header.
What dependencies are required?
Node.js and npm for local development; Docker (and optionally Docker Compose) for containerized deployment.
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