MCP.so
Sign In

Google Drive MCP Server

@asadudin

Repository

About Google Drive MCP Server

A Model Context Protocol (MCP) server for interacting with Google Drive API

#mcp-server#google-drive#api-server

Basic information

Category

Files & Storage

Runtime

python

Transports

stdio

Publisher

asadudin

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-gdrive": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Google Drive MCP Server?

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.

How to use Google Drive MCP Server?

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.

Key features of Google Drive MCP Server

  • List, upload, download, and delete files
  • Create folders and organize content
  • Share files with specific users and manage permissions
  • Handle large file listings with pagination support
  • Detailed error reporting for easier debugging
  • Debug API connection tool

Use cases of Google Drive MCP Server

  • AI assistants managing Google Drive files programmatically
  • Automated file upload and sharing workflows
  • Retrieving metadata and content of specific files
  • Debugging Google Drive API connectivity issues

FAQ from Google Drive MCP Server

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.

How do I connect an MCP client to this server?

Configure the client with transport sse and serverUrl http://localhost:8055/sse. Ensure the server is running with the --transport sse flag.

Where does my data reside when using this server?

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.

What security considerations should I be aware of?

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.

How can I run the server locally versus using Docker?

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.

Comments

More Files & Storage MCP servers

MCP Filesystem Server

mark3labs

Go server implementing Model Context Protocol (MCP) for filesystem operations.

664

Filesystem

chrisdoc

Manage your Hevy workouts, routines, folders, and exercise templates. Create and update sessions faster, organize plans, and search exercises to build workouts quickly. Stay synced with changes so your training log is always up to date.

310

File Context Server

bsmi021

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.

37

Bulk Filesystem Operations MCP Server

strawgate

MCP Server for reading many files at the same time

25

Storacha MCP Storage Server

storacha

Storacha MCP storage server - self-sovereign data for your AI applications.

13