remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

Allows Cursor AI assistants to interact with Todoist tasks, providing tools for task retrieval with powerful filtering options by due date, priority, and complex queries.

🚀 TaskMaster: Todoist MCP for Cursor AI

A Model Context Protocol (MCP) server implementation for Todoist integration, specifically developed for Cursor AI. This server allows Cursor AI assistants to interact with your Todoist tasks directly from your coding environment.

Demo Video

Features

Flexible Task Filtering: Filter tasks using Todoist's powerful filter syntax
- Filter by due date: today, tomorrow, overdue
- Filter by priority levels (1-4, where 1 is highest)
- Filter using complex query combinations
Rich Task Formatting: Each task displays priority, due date, and other relevant information with clear icons
Cursor AI Integration: Seamlessly use Todoist within your Cursor AI coding environment

Installation

Prerequisites

Python 3.10 or higher
Poetry (for dependency management)
Todoist account and API token

Setup

Clone this repository:

git clone https://github.com/mingolladaniele/todoist-mcp.git
cd todoist-mcp

Install dependencies:

pip install -r requirements.txt

Set your Todoist API token as an environment variable:

# Linux/macOS
export TODOIST_API_TOKEN="your-api-token-here"

# Windows
set TODOIST_API_TOKEN="your-api-token-here"

You can find your Todoist API token in Todoist settings → Integrations → Developer.

Usage

Running the server

python server.py

MCP Tool

The server provides the following MCP tool:

`get_tasks_tool`

Retrieves tasks with powerful filtering options.

Parameters:

filter_string: Advanced Todoist filter query string for complex filtering
priority: Optional priority level (1-4, where 1 is highest priority)

Example filter strings:

"today" - Tasks due today
"overdue" - Overdue tasks
"Jan 3" - Tasks due on January 3rd
"due before: May 5" - Tasks due before May 5th
"due after: May 5" - Tasks due after May 5th
"due before: +4 hours" - Tasks due within the next four hours and all overdue tasks
"no date" - Tasks with no due date
"5 days" or "next 5 days" - Tasks due in the next 5 days
"recurring" - Tasks with a recurring date

Setting up with Cursor AI

To use with Cursor AI, create or edit the MCP configuration file:

Windows: C:\Users\<username>\.cursor\mcp.json

{
  "mcpServers": {
    "todoist-mcp": {
      "command": "C:/Users/<username>/path/to/todoist-mcp/.venv/Scripts/python.exe",
      "args": [
        "C:/Users/<username>/path/to/todoist-mcp/server.py"
      ],
      "env": {
        "TODOIST_API_TOKEN": "your-api-token-here"
      }
    }
  }
}

Replace <username> and paths with your actual username and the correct paths to your installation.

Once you do that, go to Cursor Settings → MCP and check that the server is correctly running (green dot).

Project Structure

The codebase is organized into modules:

api/: API wrapper for Todoist
config/: Configuration and settings
utils/: Utility functions and helpers including task formatting

Roadmap

Here are the features planned for future releases:

Task Creation: Add new tasks to your Todoist directly from Cursor AI
Task Completion: Mark tasks as complete without switching context
Task Deletion: Remove tasks that are no longer needed
Smart Task Balancing: AI-powered task rebalancing based on:
- Project priority
- Time commitments
- Due dates
- Current workload
Project Management: Create and manage Todoist projects
Labels and Filters: Add custom labels and create saved filters

License

MIT License

This server cannot be installed

-

security - not tested

F

license - not found

-

quality - not tested

A Model Context Protocol server that enables Cursor AI assistants to interact with Todoist tasks directly from the coding environment, supporting advanced task filtering and rich formatting.