Todoist

Provides Todoist data sources and actions for projects, sections, tasks, and comments via an MCP interface.
  • python

7

GitHub Stars

python

Language

4 months ago

First Indexed

3 weeks ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "mikemc-todoist-mcp-server": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/mikemc/todoist-mcp-server",
        "todoist-mcp"
      ],
      "env": {
        "TODOIST_API_TOKEN": "YOUR_API_TOKEN"
      }
    }
  }
}

You run a Todoist MCP Server to expose Todoist data and actions through a local MCP client. This Python-based server lets you access projects, sections, tasks, and comments from Todoist using a structured MCP interface, enabling powerful task management workflows without leaving your preferred client.

How to use

Start by ensuring your MCP runtime is available and your Todoist API token is ready. Once the server is running, you can connect an MCP client to the Todoist MCP Server and issue operations such as listing projects, adding tasks, updating tasks, or commenting on items. The server exposes a set of endpoints corresponding to Todoist concepts like Projects, Sections, Tasks, and Comments, allowing you to create, read, update, or delete items through your MCP client.

Typical usage pattern includes starting the MCP server with the provided command, then using your MCP client to call tools such as fetching a list of projects, creating a new task inside a project, updating a task’s details, or adding comments. Make sure to supply your API token as an environment variable to authenticate with Todoist during operations.

How to install

Prerequisites you need to meet before running Todoist MCP Server: a Python 3.10+ runtime, the UV package manager, and a Todoist API token.

Obtain a Todoist API token by logging in and navigating to Settings → Integrations, then copying the token shown under Developer.

Configure the MCP server in your Claude Desktop setup by adding a Todoist MCP server entry with the following snippet. Replace your_todoist_api_token with your actual API token.

{
  "mcpServers": {
    "todoist": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/mikemc/todoist-mcp-server",
        "todoist-mcp"
      ],
      "env": {
        "TODOIST_API_TOKEN": "your_todoist_api_token"
      }
    }
  }
}

If you prefer running from a local copy, use the absolute path to the local source in the same configuration pattern.

{
  "mcpServers": {
    "todoist": {
      "command": "uvx",
      "args": [
        "--from",
        "/absolute/path/to/todoist-mcp-server",
        "todoist-mcp"
      ],
      "env": {
        "TODOIST_API_TOKEN": "your_todoist_api_token"
      }
    }
  }
}

If you are using Goose to configure an LLM-backed local environment, you can add a Todoist extension following the Goose prompts so the MCP server can be asked questions about your Todoist data.

{
  "mcpServers": {
    "todoist": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/mikemc/todoist-mcp-server",
        "todoist-mcp"
      ],
      "env": {
        "TODOIST_API_TOKEN": "your_todoist_api_token"
      }
    }
  }
}

Once configured, you can run the Goose tool to start the session and begin asking questions about your Todoist data or performing changes.

Additional notes

Security: protect your Todoist API token and ensure it is provided to the MCP server only in secure environments. The token enables access to your Todoist data and actions.

Notes on environment: the examples show the token provided as an environment variable named TODOIST_API_TOKEN. If you add other environment variables for your setup, include them in the server configuration as shown.

Available operations include fetching and manipulating projects, sections, tasks, and comments. You can list, create, update, complete/uncomplete, move, or delete these Todoist entities using the Todoist MCP Server.

Available tools

todoist_get_projects

Retrieve all Todoist projects for your workspace.

todoist_get_project

Fetch details for a single project by ID.

todoist_add_project

Create a new Todoist project.

todoist_update_project

Update properties of an existing project.

todoist_delete_project

Delete a Todoist project.

todoist_get_sections

List all sections within a specific project.

todoist_get_section

Fetch details of a single section.

todoist_add_section

Create a new section in a project.

todoist_update_section

Update an existing section.

todoist_delete_section

Delete a section.

todoist_get_task

Get details for a single task.

todoist_get_tasks

List tasks with optional filters.

todoist_filter_tasks

Filter tasks according to criteria.

todoist_add_task

Create a new task.

todoist_update_task

Update an existing task.

todoist_complete_task

Mark a task as completed.

todoist_uncomplete_task

Mark a task as incomplete.

todoist_move_task

Move a task to another project or section.

todoist_delete_task

Delete a task.

todoist_get_comment

Fetch a specific comment on a task.

todoist_get_comments

List all comments on a task.

todoist_add_comment

Add a new comment to a task.

todoist_update_comment

Update an existing comment.

todoist_delete_comment

Delete a comment.

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