google-drive-mcp
Enables browsing and managing Google Drive, including searching files, reading Docs/Sheets content, and moving/renaming files and folders.
README
google-drive-mcp
MCP server to browse and manage Google Drive: search files, read Docs/Sheets content, move/rename files and folders.
Tools (9)
| Tool | What it does |
|---|---|
list_folder |
List the contents of a folder (root by default) |
search_files |
Search files by name, type or content |
get_file_metadata |
Metadata of a file (name, type, dates, owner) |
read_doc_content |
Read a Google Doc's content as text |
read_sheet_as_csv |
Read a Google Sheet as CSV |
get_folder_path |
Full folder breadcrumb path to a file |
move_file |
Move a file to another folder |
rename_file |
Rename a file or folder |
create_folder |
Create a new folder |
Setup
- Create a Google Cloud project (or reuse one) and enable the Google Drive API.
- Create an OAuth 2.0 Client ID of type "Desktop app" and download it as
client_secret.json. - If the app is in "Testing" mode, add your Google account(s) as test users.
- Install dependencies:
python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt - Run the OAuth flow once per account you want to expose:
This opens a browser — log in and grant access. Repeat with a differentCLIENT_SECRET_PATH=~/.config/google-drive-mcp/client_secret.json \ TOKEN_OUT=~/.config/google-drive-mcp/token.json \ python3 setup_auth.pyTOKEN_OUTfor each additional account.
MCP client configuration
{
"mcpServers": {
"google-drive": {
"command": "/path/to/.venv/bin/python3",
"args": ["/path/to/google-drive-mcp/server.py"],
"env": {
"GOOGLE_DRIVE_TOKEN_PATH": "~/.config/google-drive-mcp/token.json"
}
}
}
}
| Env var | Default | Purpose |
|---|---|---|
GOOGLE_DRIVE_TOKEN_PATH |
~/.config/google-drive-mcp/token.json |
Path to the OAuth token for this account |
Notes
- Scope used is
https://www.googleapis.com/auth/drive(read + write) — needed formove_file,rename_fileandcreate_folderto work. Adrive.readonlytoken will fail on those three.
License
MIT — see LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.