by isaacphi
Integrate Google Sheets API and Google Drive for seamless file operations and spreadsheet data manipulation via the Goog
Connects to Google Drive and Sheets to search files, read documents, and manipulate spreadsheet data. Requires Google API authentication.
You can install Google Drive & Sheets in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Google Drive & Sheets is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Read, analyze, and understand files in your project
Example
Summarize README, analyze code structure, find TODO comments across codebase
Navigate large codebases 5x faster, understand projects quickly
Create, move, rename, and organize files based on natural language instructions
Example
Organize downloads by file type, rename files following convention, batch process images
Save hours on manual file organization
Search files for patterns, extract data, find information across directories
Example
Find all config files with API keys, extract emails from documents, search logs for errors
Find information instantly instead of manual grep/find
Share your MCP server with the developer community
I recommend Google Drive & Sheets for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Google Drive & Sheets reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Google Drive & Sheets is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Google Drive & Sheets for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Google Drive & Sheets is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Google Drive & Sheets has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Google Drive & Sheets benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Google Drive & Sheets reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Google Drive & Sheets has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Google Drive & Sheets is the kind of server we cite when onboarding engineers to host + tool permissions.
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This MCP server integrates with Google Drive to allow listing, reading, and searching files, as well as the ability to read and write to Google Sheets.
This project includes code originally developed by Anthropic, PBC, licensed under the MIT License from this repo.
gdrive_search
query (string): Search query.pageToken (string, optional): Token for the next page of results.pageSize (number, optional): Number of results per page (max 100).gdrive_read_file
fileId (string): ID of the file to read.gsheets_read
spreadsheetId (string): The ID of the spreadsheet to read.ranges (array of strings, optional): Optional array of A1 notation ranges (e.g., ['Sheet1!A1:B10']). If not provided, reads the entire sheet.sheetId (number, optional): Specific sheet ID to read. If not provided with ranges, reads the first sheet.gsheets_update_cell
fileId (string): ID of the spreadsheet.range (string): Cell range in A1 notation (e.g., 'Sheet1!A1').value (string): New cell value.The server provides access to Google Drive files:
gdrive:///<file_id>)
https://www.googleapis.com/auth/drive.readonly, https://www.googleapis.com/auth/spreadsheetsgcp-oauth.keys.json and place into the path you specify with GDRIVE_CREDS_DIR (i.e. /Users/username/.config/mcp-gdrive)GDRIVE_CREDS_DIR=/path/to/config/directory
CLIENT_ID=<CLIENT_ID>
CLIENT_SECRET=<CLIENT_SECRET>
Make sure to build the server with either npm run build or npm run watch.
Next you will need to run node ./dist/index.js to trigger the authentication step
You will be prompted to authenticate with your browser. You must authenticate with an account in the same organization as your Google Cloud project.
Your OAuth token is saved in the directory specified by the GDRIVE_CREDS_DIR environment variable.

To integrate this server with the desktop app, add the following to your app's server configuration:
{
"mcpServers": {
"gdrive": {
"command": "npx",
"args": ["-y", "@isaacphi/mcp-gdrive"],
"env": {
"CLIENT_ID": "<CLIENT_ID>",
"CLIENT_SECRET": "<CLIENT_SECRET>",
"GDRIVE_CREDS_DIR": "/path/to/config/directory"
}
}
}
}
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.
Generate boilerplate files, apply templates, create project structures
Example
Create React component with tests and styles, generate OpenAPI spec, scaffold new project
Eliminate repetitive file creation work
Prerequisites
Time Estimate
10-20 minutes including configuration
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server provides file I/O operations (read, write, search, metadata) as tools Claude can invoke with natural language instructions.
Protocols
Compatibility
✓ Use when
Use for code analysis, file organization, content search, template generation, and automating repetitive file operations. Best for local development workflows.
✗ Avoid when
Avoid for system-critical files, sensitive credentials, production environments, or when file integrity is paramount. Don't use on files you can't afford to lose.