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.
This is a demo MCP server exposing SQLite-backed task management (CRUD), a calculator, and server metadata tools via the Model Context Protocol, and can be interacted with through natural language via any MCP-compatible client.
A Model Context Protocol server that integrates with TickTick task management service, allowing AI assistants to list, create, update, and complete tasks with proper timezone handling.
A Model Context Protocol (MCP) server that brings your Google Tasks into Claude and other MCP-compatible clients, enabling task and task list management through natural conversation.
A Model Context Protocol server that enables Large Language Models to interact with ClickUp workspace tasks and data, allowing creation and retrieval of tasks through natural language.
