Todoist MCP Server Enhanced

The Todoist MCP Server Enhanced bridges Claude’s conversational AI with the Todoist task‑management platform, turning natural language into concrete actions on your to‑do list. By exposing Todoist’s full API through the Model Context Protocol, developers can give Claude the ability to create, update, organize, and query tasks without leaving their conversational workflow. This eliminates the friction of switching between a chat interface and a separate task manager, enabling seamless productivity loops that feel like an extension of the AI assistant itself.

At its core, the server translates everyday phrases into structured Todoist operations. Whether a user says “Create task ‘Review PR’ in project ‘Work’ section ‘To Do’” or simply “Mark the documentation task as complete,” the MCP server parses the intent, maps it to the appropriate Todoist endpoint, and returns a concise confirmation. This natural‑language mapping covers all major CRUD operations for projects, sections, tasks, and labels, as well as richer features such as due dates, priorities, and partial‑match searches. The result is a conversational interface that feels intuitive while maintaining the precision of Todoist’s data model.

Key capabilities include:

• Project & Section Management – Create, rename, or delete projects and organize them into sections.
• Task Lifecycle Control – Add new tasks, update details, mark as complete, or delete them on demand.
• Label Handling – Create and apply personal labels to tasks for better categorization.
• Smart Search & Filtering – Retrieve tasks by partial names, project, section, due date, priority, or label.
• Rich Task Metadata – Support for descriptions, due dates, and priority levels ensures that all task information is accessible and modifiable through chat.

Typical use cases span from daily stand‑up planning—“Add ‘Prepare slides’ to the next sprint project”—to retrospective cleanup, such as “Show all tasks tagged ‘Archive’ that are overdue.” In a team setting, developers can assign tasks to teammates, move items between stages of a workflow, or generate status reports, all without leaving the AI conversation. The server’s flexible filtering allows for dynamic dashboards: “Show my tasks due this week in the ‘In Progress’ section.”

Integrating with existing AI workflows is straightforward. Once the MCP server is running, any Claude‑compatible client can register it as a tool source. The assistant then automatically proposes relevant actions, and the user can confirm or refine them in a single conversational turn. This tight coupling reduces context switching, speeds up task creation, and keeps productivity data in sync across devices. The server’s design also makes it easy to extend or customize, encouraging developers to add new commands or integrate with other productivity suites.

In summary, the Todoist MCP Server Enhanced turns Claude into a full‑fledged task management partner. By unifying natural language with Todoist’s powerful API, it delivers an efficient, hands‑free workflow that keeps users focused on conversation while maintaining rigorous task organization.