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).
@stevengonsalvez
基本信息
MCP server for Todoist integration for Natural language task management
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-todoist-stevengonsalvez": {
"command": "uv",
"args": [
"pip",
"sync",
"requirements.txt"
]
}
}
}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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
Python 3.10 or higher, a Todoist account with an API token, and an MCP‑compatible client (such as Claude Desktop).
Log in to your Todoist account, go to Settings > Integrations, and copy the API token from the “API token” section.
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.
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.
Resources include `todoist://tasks`, `todoist://projects`, `todoist://labels`, and filtered resources by project, section, or label.

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