Todoist MCP server for AI agents

This MCP server enables integration between your language model (LLM) and Todoist, allowing your AI assistant to interact with your Todoist tasks and projects through the Model Context Protocol. It provides access to all functionality available in the Todoist TypeScript Client.

Installation

Prerequisites

Before installing the Todoist MCP server, you'll need:

Node.js installed on your system
A Todoist account and API key
The Claude desktop app (which supports MCP)

Manual Installation

Install dependencies and build the application:
```
npm install
npm run build
```
Get your Todoist API key from Todoist > Settings > Integrations > Developer

Configure Claude by adding a new MCP server to your claude_desktop_config.json:

{
    "mcpServers": {
        "todoist-mcp": {
            "command": "node",
            "args": ["/path/to/repo/build/index.js"],
            "env": {
                "TODOIST_API_KEY": "your_todoist_api_key"
            }
        }
    }
}

Make sure to replace /path/to/repo with the actual path to your installation directory and your_todoist_api_key with your actual API key.

Installation via Smithery

You can also install the Todoist MCP server using Smithery:

npx -y @smithery/cli install @miottid/todoist-mcp --client claude

Installation via Glama

The server is also available through Glama.ai at https://glama.ai/mcp/servers/2010u29g1w

Usage

Once installed and configured, you can use Claude to interact with your Todoist account. Here are some examples of what you can ask Claude to do:

"Add a new task to my Todoist"
"Show me my upcoming tasks"
"Create a new project in Todoist"
"Mark my shopping list tasks as complete"
"Move my high priority tasks to a different project"

The server provides access to all Todoist API functionality, including:

Task management (create, update, delete tasks)
Project management
Section organization
Label management
Filter management
Comment functionality

For the best results, be specific when asking Claude to interact with your Todoist account, including details like task names, due dates, priorities, and project assignments.

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.