Todoist MCP Server

The Todoist MCP Server bridges the gap between conversational AI assistants and the powerful task‑management capabilities of Todoist. By exposing the full breadth of the Todoist REST and Sync APIs through a Model Context Protocol interface, it allows developers to embed natural‑language task creation, querying, and organization directly into AI workflows. This eliminates the need for manual API calls or third‑party wrappers, letting users manage their to‑do lists as if they were chatting with a personal assistant.

At its core, the server translates high‑level AI prompts into concrete Todoist actions. Whether a user asks, “What tasks do I have due today?” or “Create a task to review the quarterly report by next Friday,” the MCP server interprets these commands, searches for matching items, and returns results in a conversational format. The integration supports not only tasks but also projects, sections, labels, and comments, providing a comprehensive view of the user’s Todoist ecosystem. Developers can expose specific tools—such as or —to the AI, giving fine‑grained control over how tasks are manipulated.

Key features include batch processing for handling multiple items in a single request, name‑based search that bypasses the need for numeric IDs, and prompt support that lets developers pre‑define project structures in Markdown. The server also offers utilities like color retrieval, making it easy to maintain visual consistency across AI‑generated project outputs. By leveraging the existing Todoist data model, developers can create workflows that automatically sync with a user’s real‑world task list, ensuring consistency between the AI assistant and their productivity platform.

Real‑world scenarios range from personal productivity hacks—such as having Claude generate a daily task summary—to enterprise use cases where teams delegate project updates to an AI bot that can add comments, move tasks between sections, or rename shared labels. Because the MCP server speaks directly to Todoist’s API, it maintains full authentication and permission scopes, giving developers confidence that sensitive data remains protected. The ability to batch requests also reduces latency and network overhead, making interactions feel instantaneous even when managing dozens of tasks at once.

Integrating the Todoist MCP Server into an AI workflow is straightforward: developers add a single server entry to their Claude or other MCP‑compatible client’s configuration, supply an API token, and the AI gains instant access to a rich set of task‑management tools. This tight coupling allows for seamless handoffs—such as turning a spoken “Add a new project” into an immediate API call—without the user needing to switch contexts. In short, the Todoist MCP Server empowers developers to build conversational interfaces that are deeply aware of and can manipulate a user’s Todoist data, delivering an AI‑driven productivity experience that feels both natural and powerful.