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 server for managing todo lists and items with advanced features including task assignment, priorities, recurrence, filtering, and webhook notifications.
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.
An MCP server that provides todo management tools (add, list, complete, clear, summarize) and a resource for reading all todos, enabling Codex or other MCP clients to organize and track tasks via natural language.
