A Model Context Protocol server implementation compatible with Todoist API, allowing AI agents to interact with task management functionality through standardized MCP tools.
An MCP server that provides AI assistants with full access to Todoist tasks, projects, labels, and filters. It enables comprehensive task management, project organization, and productivity tracking through a wide range of specialized tools.
An unofficial MCP server that enables AI agents to create and list tasks in Todoist using natural language. It supports task details such as due dates, priorities, and labels, while allowing for project-based filtering.
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.
An MCP server that integrates with the Todoist REST API v2 to enable AI assistants to manage tasks, projects, sections, comments, and labels. It supports comprehensive operations including batch task creation, history tracking for completed tasks, and organized project management.