MCP Todoist
A Model Context Protocol server that enables Claude to interact with your Todoist account, allowing you to manage tasks, projects, and labels through natural language.
dkeesey
README
MCP Todoist
A Model Context Protocol (MCP) server that enables Claude to interact with your Todoist account.
Features
- Manage tasks: create, update, complete, and delete tasks
- Organize tasks in projects and with labels
- Search and filter tasks based on various criteria
- Seamless integration with Claude Desktop
Prerequisites
- Python 3.11+
- Astral UV
- Todoist account and API token
- Claude Desktop (for using the MCP server)
Quick Start
1. Installation
# Install using UV
uvx mcp-todoist
2. Configuration
-
Get your Todoist API token from Todoist Integrations settings
-
Configure the environment variable:
# Add to your .env file or environment TODOIST_API_TOKEN=your_api_token_here
-
Configure Claude Desktop:
// ~/.config/claude/claude_desktop_config.json or equivalent { "mcpServers": { "mcp-todoist": { "command": "uvx", "args": ["mcp-todoist"] } } }
3. Using with Claude
Once configured, you can ask Claude to interact with your Todoist account:
- "Show me my tasks due today"
- "Create a new task to buy groceries tomorrow"
- "Mark my 'send email' task as complete"
- "Create a new project called 'Home Renovation'"
- "Show me all tasks in my Work project"
Available Tools
Task Management
list-tasks
- Retrieve and filter taskscreate-task
- Create a new taskupdate-task
- Update an existing taskcomplete-task
- Mark a task as completeddelete-task
- Delete a task
Project Management
list-projects
- Get all projectscreate-project
- Create a new projectupdate-project
- Update a projectdelete-project
- Delete a project
Label Management
list-labels
- Get all labelscreate-label
- Create a new labelupdate-label
- Update a labeldelete-label
- Delete a label
Utilities
search
- Search across tasks with complex filtering
Running the MCP Server
There are multiple ways to run the Todoist MCP server:
Method 1: Direct Command Line
Run the server in a terminal window:
# Set your API token
export TODOIST_API_TOKEN=your_api_token_here
# Run the server using UV
uvx mcp-todoist
# Alternative: Run from source
cd /path/to/mcp-todoist
uv run python -m mcp_todoist
Keep this terminal window open while using Claude Desktop.
Method 2: Using a Startup Script (Recommended)
Create a startup script that Claude Desktop can use to automatically start the server:
- Create a file named
start-todoist-mcp.sh
with the following content:
#!/bin/bash
# Set environment variables
export MCP_SERVER_NAME="mcp-todoist"
export MCP_LOG_LEVEL="INFO"
export MCP_DEBUG="true"
export TODOIST_API_TOKEN="your_todoist_api_token_here"
# Path to your Todoist MCP server
MCP_PATH="/path/to/mcp-todoist"
# Log file for debugging
LOG_FILE="${MCP_PATH}/todoist-mcp.log"
# Create log file or clear existing one
echo "Starting Todoist MCP server at $(date)" > "${LOG_FILE}"
# Navigate to the project directory
cd "${MCP_PATH}"
# Start the MCP server
echo "Starting MCP server from ${MCP_PATH}" >> "${LOG_FILE}"
uv run python -m mcp_todoist >> "${LOG_FILE}" 2>&1
- Make the script executable:
chmod +x start-todoist-mcp.sh
- Update your Claude Desktop configuration to use this script:
{
"mcpServers": {
"mcp-todoist": {
"command": "/absolute/path/to/start-todoist-mcp.sh",
"args": []
}
}
}
This approach offers several advantages:
- The server starts automatically with Claude Desktop
- All logs are captured in a file for easier debugging
- Environment variables are set consistently
Debugging
If you encounter issues with the MCP server, here are some debugging strategies:
1. Check the Logs
If using the startup script, check the log file:
cat /path/to/mcp-todoist/todoist-mcp.log
2. Enable Debug Mode
Set the MCP_DEBUG
environment variable to true
for more verbose logging:
export MCP_DEBUG=true
uvx mcp-todoist
3. Verify API Token
Ensure your Todoist API token is correct and still valid:
# Test the token with a simple curl request
curl -X GET \
https://api.todoist.com/rest/v2/projects \
-H "Authorization: Bearer $TODOIST_API_TOKEN"
4. Use the MCP Inspector
The MCP Inspector is a powerful tool for debugging MCP servers:
npx @modelcontextprotocol/inspector uvx mcp-todoist
This will open a web interface showing all communications between Claude and the MCP server.
5. Common Issues and Solutions
- "MCP Server not available" error: Ensure the server is running in a separate terminal or via a startup script.
- Authentication errors: Check that your Todoist API token is correctly set in your environment.
- "Command not found" errors: Make sure Astral UV is installed and in your PATH.
- Timeout errors: If your MCP server is slow to respond, try increasing the timeout in Claude Desktop settings.
Development
Setup
# Clone the repository
git clone https://github.com/yourusername/mcp-todoist.git
cd mcp-todoist
# Install dependencies
uv sync
Testing
# Run tests
uv run pytest
Local Development
For local development, you can create a .env
file with your Todoist API token:
TODOIST_API_TOKEN=your_api_token_here
Then run the server:
uv run python -m mcp_todoist
License
MIT License - see LICENSE file for details.
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