"How to interact with Todoist" matching MCP servers:

Enables voice control of Todoist tasks via VoiceOS, with optional Apple Reminders to Todoist sync.

A Model Context Profile server that enables Claude to interact with Todoist, allowing users to create, retrieve, update, and manage tasks through natural language commands.

Provides Todoist task management capabilities to AI assistants through the Model Context Protocol. Enables users to interact with their Todoist projects and tasks directly through Claude Desktop using natural language commands.

A Model Context Protocol server implementation compatible with Todoist API, allowing AI agents to interact with task management functionality through standardized MCP tools.

Enables LLMs to interact with Todoist for comprehensive task and project management, including creating tasks with natural language, managing projects, sections, labels, comments, and tracking productivity statistics.

Enables LLMs to interact with Todoist task management platform through its API, supporting all features from the official Todoist TypeScript Client.

Enables GPT to interact with Todoist tasks and projects through direct API calls or a local SQLite mirror. Supports reading task data via SQL queries, creating/updating/deleting tasks and projects, and synchronizing data between Todoist and the local mirror.

Provides 44 tools to interact with the Todoist API v1, enabling task, project, and label management, with read, write, and destructive operations.

Enables a weekly review of Todoist tasks by listing overdue tasks with key signals (days overdue, priority, times postponed) and letting Claude propose fixes per task, which you approve or veto in chat before any changes are applied.

Enables local conversion of PDFs to Markdown, with automatic OCR fallback for scanned pages, image extraction, and page-by-page structure preservation.

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

A clean, reliable MCP (Model Context Protocol) server for Todoist — built on the Todoist unified API v1.

Enables AI assistants to manage Todoist tasks, projects, and labels through natural language, with support for filters, priorities, and natural language dates.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

An MCP server that enables LLMs to automate browser interactions using Playwright to fetch real-time Israeli weather data.

Connects Claude to Todoist for transforming meeting notes into actionable tasks with inferred due dates and priorities. It enables full task lifecycle management, including creating subtasks, listing projects, and completing tasks through natural language.

A local MCP server for Todoist task management, enabling Claude to create, read, update, complete, delete, and move tasks, manage projects and labels, and add comments via the Todoist REST and Sync APIs.

Enables AI agents to access and modify a Todoist account on the user's behalf, supporting task management and integration with MCP-compatible clients.

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.

An MCP server that integrates Claude with Todoist, enabling natural language task management including creating, updating, completing, and deleting tasks.