A simple MCP server for managing a todo list — add tasks, list tasks, and mark tasks complete. Built with the Python MCP SDK (FastMCP) as a hands-on learning project.
A simple, beginner-friendly Model Context Protocol (MCP) server written in Python. It lets any MCP-compatible AI client (like Claude Desktop) manage a to-do list on your computer through five tools: add, view, get by ID, complete, and delete.
A server implementation that enables LLMs to programmatically manage tasks in Todo.txt files using the Model Context Protocol (MCP), supporting operations like adding, completing, deleting, listing, searching, and filtering tasks.
A small MCP server for managing todos, enabling assistants like Claude to create, update, and query task lists through natural conversation. Stores everything in a local SQLite database.