stanislavlysenko0912 todoist mcp server

stanislavlysenko0912 todoist mcp server avatar

by stanislavlysenko0912

Full implementation of Todoist Rest API & support Todoist Sync API for MCP server

What is stanislavlysenko0912 todoist mcp server

Features

  • Complete Todoist API Integration: Access to the full Todoist REST API v2, and support for the Todoist Sync API through natural language
  • Batch Processing: Client can process multiple tasks in a single request
  • Search by name: AI can search for tasks, projects, and labels by name instead of ID
  • Tasks: Create, update, close, reopen, move, and delete tasks using conversational language
  • Projects: Create and manage projects and sections
  • Comments: Add and manage comments on tasks and projects
  • Labels: Create and manage personal and shared labels
  • Prompt Support: You can easily provide information about your projects to client

Configuration

You'll need a Todoist API token to use this MCP server.

Getting a Todoist API Token

  1. Log in to your Todoist account
  2. Navigate to Settings → Integrations
  3. Find your API token under "Developer"

Usage with Claude Desktop

Add to your claude_desktop_config.json:

{
    "mcpServers": {
        "todoist": {
            "command": "npx",
            "args": ["-y", "todoist-mcp"],
            "env": {
                "API_KEY": "your_todoist_api_token_here"
            }
        }
    }
}

Available Tools

Tasks

  • get_tasks_list: Get tasks with optional filtering by project, section, label, etc.
  • create_tasks: Create new tasks with various attributes
  • get_tasks: Get specific tasks by ID or name
  • update_tasks: Update existing tasks
  • close_tasks: Mark tasks as complete
  • reopen_tasks: Reopen completed tasks
  • delete_tasks: Delete tasks
  • move_tasks: Move tasks to a different project or section

Projects

  • get_projects_list: Get all projects
  • create_projects: Create new projects
  • get_projects: Get specific projects by ID or name
  • update_projects: Update existing projects
  • delete_projects: Delete projects
  • get_collaborators: Get all collaborators for a project
  • move_projects: Move projects to a different location or subproject

Sections

  • get_sections_list: Get all sections or filter by project
  • create_sections: Create new sections
  • get_sections: Get specific sections by ID or name
  • update_sections: Update sections
  • delete_sections: Delete sections

Comments

  • get_comments_list: Get comments for a project or task
  • create_comments: Create new comments
  • get_comments: Get specific comments by ID
  • update_comments: Update comments
  • delete_comments: Delete comments

Labels

  • get_labels_list: Get all personal labels
  • create_labels: Create new personal labels
  • get_labels: Get personal labels by ID or name
  • update_labels: Update personal labels
  • delete_labels: Delete personal labels
  • get_shared_labels: Get all shared labels
  • rename_shared_labels: Rename shared labels
  • remove_shared_labels: Remove shared labels

Utils

  • utils_get_colors: Get available colors for projects, labels, filters

Prompts

  • projects_list: Get list of projects with their sections and params in markdown format

Example Usage

Ask your AI assistant (like Claude) questions such as:

"What tasks do I have due today?"
"Create a task to review the quarterly report by next Friday"
"Make a new project called 'Home Renovation'"
"Add a comment to my meeting prep task"
"Show me all my high priority tasks"
"Create a label for 'Urgent' tasks with a red color"
"What projects do I have in my Todoist?"
"Mark my dentist appointment task as complete"

Development

# Install dependencies
npm install

# Build the project and run inspector
npm run build && npx @modelcontextprotocol/inspector -e API_KEY=YOUR_API_KEY_HERE node dist/index.js

License

This project is licensed under the MIT License - see the LICENSE file for details.

Issues and Support

If you encounter any issues or need support, please file an issue on the GitHub repository.

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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