What are the runtime requirements?
Python 3.12 or higher and valid Google Drive API credentials (OAuth client ID for Desktop app).
@hxie-pallas
基本信息
A google drive mcp servers based on Python
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"gdrive-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}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。
A server that provides an MCP (Model Context Protocol) interface to interact with Google Drive files and folders. It supports searching files, retrieving file content and metadata, and uses OAuth authentication with token persistence. Designed for developers integrating Google Drive into MCP-compatible AI assistants and clients.
Install the package after creating a Python 3.12+ virtual environment. Obtain Google Drive API credentials (OAuth client ID for Desktop app) from the Google Cloud Console and save as credentials.json. Run the authentication setup script (python -m gdrive_mcp_server.auth_setup --credentials /path/to/credentials.json --token /path/to/tokens.json) to generate a token file. Then start the server with gdrive-mcp (stdio mode) or gdrive-mcp --http (HTTP mode). For Claude Desktop integration, add the command and token path to claude_desktop_config.json.
Python 3.12 or higher and valid Google Drive API credentials (OAuth client ID for Desktop app).
Uses OAuth with token persistence. You run the `auth_setup` script with your downloaded `credentials.json` to generate a `tokens.json` file that authenticates future sessions.
Two modes: stdio (default) and HTTP (using the `--http` flag). stdio is used for local integration; HTTP enables remote or web‑based MCP clients.
In a `tokens.json` file specified during the authentication setup. The path is provided via the `--token` argument and reused when starting the server.
Add an entry to the `mcpServers` section of `claude_desktop_config.json`, setting the `command` to the full path of the `gdrive-mcp` executable and the `args` to include `--token` and the path to your `tokens.json` file.
📄 The PDF intelligence layer for AI agents — Agent Document Twin, evidence-first extraction, visual crops, OCR provenance, trust reports, and benchmark-gated releases. MCP server for Claude, Cursor, VS Code, and any MCP client.
📄 The PDF intelligence layer for AI agents — Agent Document Twin, evidence-first extraction, visual crops, OCR provenance, trust reports, and benchmark-gated releases. MCP server for Claude, Cursor, VS Code, and any MCP client.
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