A robust Model Context Protocol server for managing todos with capabilities for task creation, filtering, and statistical analysis. It enables AI assistants to interact with todo datasets through specialized tools, structured resources, and intelligent productivity prompts.
A simple task management server that allows users to add, list, complete, and delete tasks directly within Claude Desktop. It provides a suite of tools for efficient personal task organization using the Model Context Protocol.
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 Model Context Protocol (MCP) server that provides tools for managing todo items, including creation, updating, completion, deletion, searching, and summarizing tasks.
An MCP server that allows AI assistants to manage todo lists stored in a simple markdown file, supporting creation, reading, updating, and deletion of todo items with persistent IDs.
