Todoist MCP Server

What is Todoist MCP Server? Todoist MCP Server is a Model Context Protocol server that integrates Claude with Todoist, allowing users to manage tasks using natural language commands. How to use Todoist MCP Server? To use Todoist MCP Server, install it via npm and configure it with your Todoist API token. You can then issue commands using natural language to create, update, complete, or delete tasks. Key features of Todoist MCP Server? Natural Language Task Management: Easily manage tasks using everyday language. Smart Task Search: Find tasks with partial name matches. Flexible Filtering: Filter tasks by due date, priority, and other attributes. Rich Task Details: Support for various task properties like description and due date. Intuitive Error Handling: Provides clear feedback for a better user experience. Use cases of Todoist MCP Server? Creating tasks like 'Add task 'Review PR' due tomorrow'. Updating existing tasks using natural language prompts. Marking tasks as complete through spoken commands. FAQ from Todoist MCP Server? Can I manage all my Todoist tasks using natural language? Yes! The server allows for comprehensive task management through natural language commands. How do I set up my API token? You can find your API token under Settings → Integrations in your Todoist account. Is there a way to contribute to this project? Absolutely! Contributions are welcome, and you can submit a Pull Request on the GitHub repository.

As an MCP (Model Context Protocol) server, Todoist MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use Todoist MCP Server, install it via npm and configure it with your Todoist API token. You can then issue commands using natural language to create, update, complete, or delete tasks. Key features of Todoist MCP Server? Natural Language Task Management: Easily manage tasks using everyday language. Smart Task Search: Find tasks with partial name matches. Flexible Filtering: Filter tasks by due date, priority, and other attributes. Rich Task Details: Support for various task properties like description and due date. Intuitive Error Handling: Provides clear feedback for a better user experience. Use cases of Todoist MCP Server? Creating tasks like 'Add task 'Review PR' due tomorrow'. Updating existing tasks using natural language prompts. Marking tasks as complete through spoken commands. FAQ from Todoist MCP Server? Can I manage all my Todoist tasks using natural language? Yes! The server allows for comprehensive task management through natural language commands. How do I set up my API token? You can find your API token under Settings → Integrations in your Todoist account. Is there a way to contribute to this project? Absolutely! Contributions are welcome, and you can submit a Pull Request on the GitHub repository.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.