What are the prerequisites to use this server?
Python 3.8 or later, a Google Cloud project with the Drive API enabled, and a service account with appropriate permissions. The service account JSON key file must be downloaded.
@asadudin
基本信息
A Model Context Protocol (MCP) server for interacting with Google Drive API
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-gdrive": {
"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 Model Context Protocol (MCP) server that provides a standardized interface for AI systems to access and manipulate files in Google Drive via the Google Drive API.
Install Python 3.8+, enable the Google Drive API in a Google Cloud project, create a service account, and download its JSON key. Clone the repository, create a virtual environment, install dependencies, copy .env.example to .env, and configure HOST, PORT, and GOOGLE_SERVICE_ACCOUNT_FILE. Run python main.py --transport sse or use Docker with docker-compose up. Connect an MCP client using transport sse and serverUrl http://localhost:8055/sse.
Python 3.8 or later, a Google Cloud project with the Drive API enabled, and a service account with appropriate permissions. The service account JSON key file must be downloaded.
Configure the client with transport `sse` and serverUrl `http://localhost:8055/sse`. Ensure the server is running with the `--transport sse` flag.
All file operations target Google Drive directly; the server only mediates requests via the Google Drive API. The service account key file is stored locally as configured.
The service account JSON file contains sensitive credentials – never commit it to version control. Use environment variables for all sensitive configuration. Consider additional authentication if deploying publicly.
Locally: `python main.py --transport sse`. With Docker: `docker-compose up`. Both require the service account key file to be available at the path specified in `.env`.
Markdown To PDF Conversion MCP
MCP server for working with PDF files

AI tools (Claude, ChatGPT, Gemini, Grok, etc.) generate HTML constantly, from reports to landing pages to prototypes, but there's no easy way to share it or know if anyone looked. HTMLvault turns any HTML into a clean, t
📄 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.
A Model Context Protocol (MCP) server that provides file system context to Large Language Models (LLMs). This server enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
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