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py-todoist-mcp

A Python MCP server that enables AI assistants to manage Todoist tasks and projects through the Model Context Protocol. It supports full CRUD operations for tasks and projects, including support for nested projects and Todoist's advanced filter syntax.

Updated
Feb 7, 2026

py-todoist-mcp

A Python MCP (Model Context Protocol) server for Todoist integration, enabling AI assistants to manage tasks and projects via the Model Context Protocol.

Features

  • Task Management: Create, read, update, complete, and delete tasks
  • Project Management: Manage Todoist projects with support for nested projects
  • Filter Support: Query tasks using Todoist's powerful filter syntax
  • Error Handling: Robust error handling with user-friendly messages
  • Structured Logging: Comprehensive logging for debugging and monitoring

Prerequisites

  • Python 3.14 or higher
  • uv for Python package management
  • A Todoist API token

Installation

1. Install with uv

uv tool install git+https://github.com/chris-jelly/py-todoist-mcp.git

This installs todoist-mcp into an isolated environment and makes it available globally on your PATH.

2. Set up your API token

The server reads TODOIST_API_TOKEN from the environment. Add it to your shell profile (~/.bashrc, ~/.zshrc, etc.):

# Add to your shell profile
export TODOIST_API_TOKEN="your-api-token-here"

To obtain your Todoist API token:

  1. Log in to Todoist
  2. Go to Settings → Integrations → Developer
  3. Copy your API token

Note: Avoid placing your API token directly in MCP configuration files. These files are easy to accidentally commit or share. The server will pick up the token from your environment automatically.

Configuration

Opencode

Add the following to ~/.config/opencode/opencode.json:

{
  "mcpServers": {
    "todoist": {
      "command": "todoist-mcp"
    }
  }
}

Codex

Add the following to your Codex configuration file (location varies by installation):

{
  "mcpServers": {
    "todoist": {
      "command": "todoist-mcp"
    }
  }
}

Usage

Once configured, you can use natural language to interact with Todoist:

Task Examples

"Show me all my tasks"
"List my tasks for today"
"Create a task 'Buy groceries' due tomorrow with priority 1"
"Get details for task ID 123456"
"Update task 123456 to be due next Monday"
"Mark task 123456 as complete"
"Delete task 123456"

Project Examples

"List all my projects"
"Create a new project called 'Work'"
"Get details for project ID 987654"
"Update project 987654 color to blue"
"Delete project 987654"

Filter Examples

"Show me overdue tasks"
"List tasks in project work"
"Get tasks labeled urgent"

Available Tools

Task Tools

ToolDescription
todoist_get_tasksList tasks with optional filters (project_id, filter_string)
todoist_get_taskGet a single task by ID with full details
todoist_add_taskCreate a new task with content, description, due_date, priority, project_id, labels
todoist_update_taskUpdate task attributes by ID
todoist_complete_taskMark a task as complete by ID
todoist_delete_taskDelete a task by ID

Project Tools

ToolDescription
todoist_get_projectsList all projects
todoist_get_projectGet a single project by ID with full details
todoist_add_projectCreate a new project with name, color, parent_id
todoist_update_projectUpdate project attributes by ID
todoist_delete_projectDelete a project by ID

Development

Setup

git clone git@github.com:chris-jelly/py-todoist-mcp.git
cd py-todoist-mcp
uv sync

Running the server locally

uv run todoist-mcp

Code Quality

This project uses Ruff for linting and formatting:

# Format code
ruff format .

# Check for linting errors
ruff check .

# Fix auto-fixable issues
ruff check . --fix

Project Structure

py-todoist-mcp/
├── src/todoist_mcp/
│   ├── __init__.py
│   ├── main.py          # Entry point
│   ├── server.py        # FastMCP server setup
│   ├── client.py        # Todoist API client
│   ├── utils.py         # Logging and error handling
│   └── tools/
│       ├── __init__.py
│       ├── tasks.py     # Task management tools
│       └── projects.py  # Project management tools
├── pyproject.toml
└── README.md

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please ensure:

  1. All code passes ruff lint and ruff format checks
  2. Follow the existing code patterns and conventions
  3. Add tests for new functionality
  4. Update documentation as needed

Troubleshooting

Server won't start

  • Verify TODOIST_API_TOKEN is set correctly
  • Check that Python 3.14+ is installed: python --version
  • Ensure uv is installed: uv --version

Authentication errors

  • Verify your API token is correct and hasn't expired
  • Check that your Todoist account is active
  • Ensure the token has appropriate permissions

AI Assistant not connecting

For Opencode:

  • Verify the configuration JSON syntax
  • Check the Opencode logs: ~/.config/opencode/logs/
  • Run opencode --version to ensure it's installed correctly
  • Restart Opencode after configuration changes

For Codex:

  • Verify the configuration JSON syntax
  • Check Codex output for error messages
  • Restart Codex after configuration changes

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