Advertise
MCP.so
Sign In

MCP-Todoist Integration

@stevengonsalvez

Repository

Basic information

Category

Productivity

License

MIT license

Transports

stdio

Author

stevengonsalvez

About MCP-Todoist Integration

MCP server for Todoist integration for Natural language task management

MCP-Todoist Integration config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-todoist-stevengonsalvez": {
      "command": "uv",
      "args": [
        "pip",
        "sync",
        "requirements.txt"
      ]
    }
  }
}

MCP-Todoist Integration tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP-Todoist Integration?

MCP-Todoist Integration is a Model Context Protocol (MCP) server that enables language models to interact with Todoist tasks, projects, sections, labels, comments, and collaborators through the Todoist API.

How to use MCP-Todoist Integration?

Install the server via uvx (uvx install mcp-todoist), a cloned repository, or with uv. Configure it in an MCP‑compatible client like Claude Desktop by adding a JSON block with the command, arguments, and your Todoist API token as an environment variable. Once running, the language model can call the provided tools or read the available resources to manage Todoist data.

Key features of MCP-Todoist Integration

  • Complete Todoist API integration for tasks, projects, sections, labels, comments, and collaborators
  • Create, read, update, delete operations on all major Todoist entities
  • Filter tasks by various criteria
  • Access project collaborators
  • Well-documented tools and resources for use with language models

Use cases of MCP-Todoist Integration

  • Create a new task in Todoist with a title and due date
  • Retrieve and display all tasks from a specific project
  • Mark a task as complete or uncomplete
  • Add a comment to an existing task
  • Create a new project with multiple sections

Frequently asked questions

1

What are the requirements to run MCP-Todoist Integration?

Python 3.10 or higher, a Todoist account with an API token, and an MCP‑compatible client (such as Claude Desktop).

2

How do I obtain a Todoist API token?

Log in to your Todoist account, go to Settings > Integrations, and copy the API token from the “API token” section.

3

How do I configure MCP-Todoist Integration with Claude Desktop?

Add a JSON entry to Claude Desktop’s MCP Servers Configuration (under Settings > Advanced) with the command and environment variable `TODOIST_API_TOKEN`. You can use `uvx mcp-todoist` or a local Python path.

4

What tools does MCP-Todoist Integration provide?

It provides tools for task management (create, get, update, complete, uncomplete, delete), project management, section management, label management, comment management, and retrieving collaborators for a project.

5

What resources are available?

Resources include `todoist://tasks`, `todoist://projects`, `todoist://labels`, and filtered resources by project, section, or label.

Comments

More Productivity MCP servers

AdWhispr - Research, Clone, & Launch Ads from Claude/ChatGPT

AdWhispr

Remote MCP server that turns Claude, ChatGPT, or Cursor into a full ad workflow: research any brand's live Facebook and TikTok ads, clone the proven winners for your own brand, and launch real campaigns on Google, TikTok

LeadSync MCP

lmoulton

LeadSync's MCP server lets Claude, Cursor, OpenAI's Codex and Gemini CLI manage Facebook and Instagram lead ad delivery in a LeadSync account. Connect lead forms to 30+ CRMs, Google Sheets, email and SMS, map fields, add

S

send-email

mcp.build

send-email is a remote MCP server available at https://next.hal9.ai.

V

Vokolla Press Release Agent

Vokolla

Bring Vokolla’s all-in-one press release workflow into your AI conversation. Draft and refine English or Chinese releases with AI, compare distribution packages, save account drafts and track release progress and publica

Etincel

AIStoryHub

Find the AI tells in your prose. Deterministic, local, runs in CI. MCP server + CLI + Action.

6
Advertise