What tools are available?
The server provides tools for projects, sections, tasks, and comments, including `todoist_get_projects`, `todoist_add_task`, `todoist_complete_task`, `todoist_get_comments`, and more.
@mikemc
Basic information
Todoist MCP server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"todoist": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/mikemc/todoist-mcp-server",
"todoist-mcp"
],
"env": {
"TODOIST_API_TOKEN": "your_todoist_api_token"
}
}
}
}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.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Todoist MCP server written in Python that uses the Todoist Python API to allow AI assistants (like Claude and Goose) to manage Todoist tasks, projects, sections, and comments. It was initially created by translating a TypeScript Todoist MCP server to Python.
Install Python 3.10+, the UV package manager, and obtain a Todoist API token. Configure the server in claude_desktop_config.json using the uvx command with your token. Alternatively, configure it with Goose via goose configure and setting environment variables. Then invoke tools like todoist_get_tasks, todoist_add_task, etc.
The server provides tools for projects, sections, tasks, and comments, including `todoist_get_projects`, `todoist_add_task`, `todoist_complete_task`, `todoist_get_comments`, and more.
Log in to your Todoist account, go to Settings → Integrations, and find your API token under "Developer".
Yes, you can configure it with Goose using a local model provider like LM Studio or Ollama.
The server requires Python 3.10+, the UV package manager, and a Todoist API token. No separate database or runtime is needed beyond these.
This project is a Python translation of the TypeScript [todoist-mcp-server](https://github.com/abhiz123/todoist-mcp-server) by abhiz123, and is licensed under the MIT License.

AdminLanding — French rental, frontalier & home-employment compliance tools (FR/EN). Sourced, dated answers from deterministic rule engines and official datasets — no AI, no account needed for the 13 free tools: zone ten
WhatsMCP — WhatsApp for AI agents. Put an AI agent on a real WhatsApp number. Expose regular WhatsApp accounts to your LLM agents over JSON-RPC. A complete Model Context Protocol server that turns phone numbers into addr

Plan, create, schedule, publish, and analyze social media content from AI assistants through Genviral's secure OAuth MCP server.
dadan-sdk-integration is an SDK for integrating Dadan features into React applications. It allows you to add video recording and file selection functionality directly into your React components, providing a seamless user
Human feedback for AI agents — remote MCP server at twocents.page/mcp (share_page / get_feedback)
Comments