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
基本信息
Todoist MCP server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"todoist": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/mikemc/todoist-mcp-server",
"todoist-mcp"
],
"env": {
"TODOIST_API_TOKEN": "your_todoist_api_token"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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.

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