Google Drive server
Integrates with Google Drive to enable listing, reading, and searching over files, with automatic export of Google Workspace documents to appropriate formats.
w-jeon
README
Google Drive server
This MCP server integrates with Google Drive to allow listing, reading, and searching over files.
Components
Tools
- search
- Search for files in Google Drive
- Input:
query
(string): Search query - Returns file names and MIME types of matching files
Resources
The server provides access to Google Drive files:
- Files (
gdrive:///<file_id>
)- Supports all file types
- Google Workspace files are automatically exported:
- Docs → Markdown
- Sheets → CSV
- Presentations → Plain text
- Drawings → PNG
- Other files are provided in their native format
Getting started
- Create a new Google Cloud project
- Enable the Google Drive API
- Configure an OAuth consent screen ("internal" is fine for testing)
- Add OAuth scope
https://www.googleapis.com/auth/drive.readonly
- Create an OAuth Client ID for application type "Desktop App"
- Download the JSON file of your client's OAuth keys
- Rename the key file to
gcp-oauth.keys.json
and place into the root of this repo (i.e.servers/gcp-oauth.keys.json
)
Make sure to build the server with either npm run build
or npm run watch
.
Authentication
To authenticate and save credentials:
- Run the server with the
auth
argument:node ./dist auth
- This will open an authentication flow in your system browser
- Complete the authentication process
- Credentials will be saved in the root of this repo (i.e.
servers/.gdrive-server-credentials.json
)
Usage with Desktop App
To integrate this server with the desktop app, add the following to your app's server configuration:
Docker
Authentication:
Assuming you have completed setting up the OAuth application on Google Cloud, you can now auth the server with the following command, replacing /path/to/gcp-oauth.keys.json
with the path to your OAuth keys file:
docker run -i --rm --mount type=bind,source=/path/to/gcp-oauth.keys.json,target=/gcp-oauth.keys.json -v mcp-gdrive:/gdrive-server -e GDRIVE_OAUTH_PATH=/gcp-oauth.keys.json -e "GDRIVE_CREDENTIALS_PATH=/gdrive-server/credentials.json" -p 3000:3000 mcp/gdrive auth
The command will print the URL to open in your browser. Open this URL in your browser and complete the authentication process. The credentials will be saved in the mcp-gdrive
volume.
Once authenticated, you can use the server in your app's server configuration:
{
"mcpServers": {
"gdrive": {
"command": "docker",
"args": ["run", "-i", "--rm", "-v", "mcp-gdrive:/gdrive-server", "-e", "GDRIVE_CREDENTIALS_PATH=/gdrive-server/credentials.json", "mcp/gdrive"]
}
}
}
NPX
{
"mcpServers": {
"gdrive": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-gdrive"
]
}
}
}
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
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.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
AIO-MCP Server
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from
React MCP
react-mcp integrates with Claude Desktop, enabling the creation and modification of React apps based on user prompts
Atlassian Integration
Model Context Protocol (MCP) server for Atlassian Cloud products (Confluence and Jira). This integration is designed specifically for Atlassian Cloud instances and does not support Atlassian Server or Data Center deployments.

Any OpenAI Compatible API Integrations
Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more.
MySQL Server
Allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.
Browser Use (used by Deploya.dev)
AI-driven browser automation server that implements the Model Context Protocol to enable natural language control of web browsers for tasks like navigation, form filling, and visual interaction.
Aindreyway Codex Keeper
Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.