What is the difference between this and the TypeScript server?
This server is a Python port of the TypeScript Todoist MCP server, providing the same functionality while using the Python MCP SDK and Todoist Python API.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"todoist": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/todoist-mcp-server",
"run",
"main.py"
],
"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。
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。
The Todoist MCP Server (Python) is a server that integrates Todoist with the Model Context Protocol (MCP), enabling AI assistants like Claude to interact with Todoist tasks and projects. It is a Python port of an existing TypeScript version, using the Python MCP SDK and Todoist Python API.
Install Python 3.10+ and UV package manager, obtain a Todoist API token from your account settings (Settings → Integrations → Developer), then configure your MCP client (e.g., Claude Desktop) by adding the server entry to claude_desktop_config.json with the absolute path to the server directory and the token as an environment variable.
This server is a Python port of the TypeScript Todoist MCP server, providing the same functionality while using the Python MCP SDK and Todoist Python API.
Python 3.10 or higher, the UV package manager, and a valid Todoist API token.
The server interacts with Todoist’s cloud API; tasks and projects data remain on Todoist’s servers, accessed via the API token provided in configuration.
The server uses the standard MCP transport, communicating over stdin/stdout as configured in the MCP client.
Authentication is done via a Todoist API token, which must be set as the `TODOIST_API_TOKEN` environment variable in the client configuration.

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