A persistent todo list server that enables AI assistants to manage tasks across different platforms using the Model Context Protocol. It provides tools for creating, listing, updating, and deleting todos with support for priorities, tags, and due dates.
A production-ready Model Context Protocol server for managing tasks and todos with support for both file-based and database storage backends. It enables users to perform bulk operations, track priorities, and access productivity analytics through a structured management system.
A Model Context Protocol (MCP) server that provides tools for managing todo items, including creation, updating, completion, deletion, searching, and summarizing tasks.
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 Python MCP server that enables AI assistants to manage Todoist tasks and projects through the Model Context Protocol. It supports full CRUD operations for tasks and projects, including support for nested projects and Todoist's advanced filter syntax.
A Model Context Protocol server that provides todo management via stdio, local HTTP, and public HTTPS transports, enabling agents to add, list, and complete tasks, and includes a daily standup skill.
