How does authentication work?
The server uses OAuth2 credentials from a Google Cloud project. It supports setting tokens directly in the `.env` file or storing them in a `.credentials.json` file, and automatically refreshes expired access tokens.
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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。
A Model Context Protocol (MCP) server for Google Tasks that enables AI assistants to interact with Google Tasks through the MCP protocol. It allows listing, creating, updating, deleting, and searching tasks and task lists, with OAuth2 authentication and automatic token refresh.
Clone the repository, install dependencies with pnpm install, and build with pnpm build. Set up a Google Cloud project, enable the Tasks API, create OAuth 2.0 credentials, and configure the .env file with CLIENT_ID, CLIENT_SECRET, and REDIRECT_URI. Start the server with pnpm start, then connect Claude Desktop using claude mcp --command "node /path/to/dist/index.js" or a configuration file.
The server uses OAuth2 credentials from a Google Cloud project. It supports setting tokens directly in the `.env` file or storing them in a `.credentials.json` file, and automatically refreshes expired access tokens.
You must create a project in the Google Cloud Console, enable the Tasks API, and create OAuth 2.0 credentials with a Web application type and a redirect URI (e.g., http://localhost:3000/oauth2callback).
Yes, the README provides detailed setup instructions for integrating with Claude Desktop, including command-line and configuration file approaches, along with example conversations and troubleshooting tips.
Check the server logs for specific error details. Ensure you are using compatible versions of Claude Desktop and the MCP SDK, and verify that the server is running before connecting.
It requires Node.js, pnpm, and a Google Cloud project with the Tasks API enabled. The server runs on standard input/output channels (stdio) for MCP communication.

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