About Google Drive server
Google Drive server connects MCP clients to Google Drive files. It supports file search and exposes files as resources, converting Google Workspace documents into readable formats.
Key features
- 01Search Google Drive files
- 02Expose files as resources
- 03Export Docs as Markdown
- 04Export Sheets as CSV
- 05Export presentations as plain text
Use cases
- 01Find files by search query
- 02Read Google Workspace documents
- 03Access files in their native formats
MCP support
The server provides a search tool and file resources to MCP clients. Google Workspace files are exported to formats such as Markdown, CSV, plain text, or PNG.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
docker run -i --rm -e GDRIVE_OAUTH_PATH -e GDRIVE_CREDENTIALS_PATH mcp/gdriveGDRIVE_OAUTH_PATHSecretGDRIVE_CREDENTIALS_PATHSecretLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMENotice
This MCP server is adapted from modelcontextprotocol/servers (src/gdrive), with updates and modifications applied for customization.
이 MCP 서버는 modelcontextprotocol/servers (src/gdrive)를 업데이트 및 수정한 버전의 레포입니다'
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.jsonand 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
authargument: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"]
}
}
}
Usage with VS Code
For quick installation, use one of the one-click install buttons below..
For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).
Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.
Note that the
mcpkey is not needed in the.vscode/mcp.jsonfile.
NPX
{
"mcp": {
"servers": {
"gdrive": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-gdrive"],
"env": {
"GDRIVE_CREDENTIALS_PATH": "/path/to/.gdrive-server-credentials.json"
}
}
}
}
}
Docker
{
"mcp": {
"servers": {
"gdrive": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-v",
"mcp-gdrive:/gdrive-server",
"-e",
"GDRIVE_CREDENTIALS_PATH=/gdrive-server/credentials.json",
"mcp/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.
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.