Todoist MCP Server

Todoist MCP Server is a bridge that lets Claude and other AI assistants interact with Todoist’s task‑management platform through natural language. Instead of manually navigating the Todoist UI, developers can embed powerful task‑automation and organization capabilities directly into their conversational AI workflows. This server solves the friction of switching contexts between a chatbot and a productivity app, enabling seamless task creation, updates, and retrieval without leaving the chat.

At its core, the server exposes a rich set of CRUD operations for tasks, projects, sections, and labels. Developers can ask the assistant to “Create a new task in my Marketing project with a due date tomorrow and label it urgent.” The server translates that request into the appropriate Todoist API calls, handling authentication via an environment‑set token. It also supports hierarchical subtasks, allowing users to build nested task trees, promote or demote items, and track completion status across levels. Bulk operations enable efficient batch processing—adding dozens of tasks in a single command, or marking an entire project as complete with one utterance.

Key features are designed for real‑world productivity scenarios:

• Natural language interface that understands everyday phrasing.
• 30‑second caching for read operations, reducing API calls and speeding up responses.
• Dry‑run mode, letting developers test complex workflows without affecting real data.
• Rich task attributes (descriptions, priorities, due dates, deadlines) and a comment system with attachment support.
• Robust error handling and input validation to keep conversations reliable.

Use cases span from personal productivity—automating daily stand‑up summaries—to enterprise workflows, where a team’s AI assistant can generate project status reports or reassign tasks based on workload. In development pipelines, the server’s structured tools can be chained with other MCP servers (e.g., calendar or email) to create end‑to‑end automation: “Schedule a meeting for the new task’s deadline and send an email reminder.” The server’s TypeScript foundation ensures type safety, while the runtime checks guard against malformed inputs.

By integrating Todoist directly into AI assistants, developers gain a single conversational surface for task management, reducing context switches and boosting efficiency. The server’s comprehensive feature set, combined with performance optimizations and safety mechanisms, makes it a standout tool for any developer looking to embed robust productivity logic into their AI‑driven applications.