Google Workspace MCP Server

Google Workspace MCP Server

An MCP (Model Context Protocol) server that provides read/write access to Google Sheets and Google Docs.

Available Tools

| Tool | Description | |------|-------------| | read_sheet | Read data from a Google Sheets spreadsheet | | read_doc | Read text content from a Google Doc | | list_sheets | List all sheets/tabs in a spreadsheet | | append_to_doc | Prepend content to a Google Doc | | append_to_sheet | Append rows to a spreadsheet | | update_sheet | Update a specific range in a spreadsheet |

Quick Start

1. Install from GitHub

npm install -g github:HarleyCoops/google-workspace-mcp

Or clone and build locally:

git clone https://github.com/HarleyCoops/google-workspace-mcp.git
cd google-workspace-mcp
npm install
npm run build

2. Set Up Google OAuth Credentials

1. Go to Google Cloud Console
2. Create a new project (or select existing)
3. Enable these APIs:

• Google Sheets API
• Google Docs API
• Google Drive API

1. Create OAuth 2.0 credentials (Desktop app type)
2. Download as credentials.json

3. Generate OAuth Token

pip install google-auth-oauthlib google-api-python-client
python regenerate_google_token.py

This creates token.json with your OAuth credentials.

4. Configure Your MCP Client

Set the GOOGLE_TOKEN_PATH environment variable to point to your token.json file.

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MCP Configuration

Standard JSON Config (Claude Desktop, Cursor, VS Code, etc.)

{
  "mcpServers": {
    "google-workspace": {
      "command": "npx",
      "args": ["github:HarleyCoops/google-workspace-mcp"],
      "env": {
        "GOOGLE_TOKEN_PATH": "/path/to/your/token.json"
      }
    }
  }
}

If installed globally

{
  "mcpServers": {
    "google-workspace": {
      "command": "google-workspace-mcp",
      "env": {
        "GOOGLE_TOKEN_PATH": "/path/to/your/token.json"
      }
    }
  }
}

If cloned locally

{
  "mcpServers": {
    "google-workspace": {
      "command": "node",
      "args": ["/path/to/google-workspace-mcp/build/index.js"],
      "env": {
        "GOOGLE_TOKEN_PATH": "/path/to/your/token.json"
      }
    }
  }
}

---

Emergent.sh Setup

For Emergent.sh, you have two options:

Option A: Use as stdio MCP (if supported)

In Emergent's MCP configuration:

{
  "command": "npx",
  "args": ["github:HarleyCoops/google-workspace-mcp"],
  "env": {
    "GOOGLE_TOKEN_PATH": "/path/to/token.json"
  }
}

Option B: Self-host as HTTP endpoint

If Emergent requires an HTTP/SSE endpoint, you'll need to wrap this server. See the MCP HTTP Transport docs for details.

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Environment Variables

| Variable | Description | Default | |----------|-------------|---------| | GOOGLE_TOKEN_PATH | Path to OAuth token.json | ./token.json | | DAILY_REPO_PATH | Base path for .env loading | C:\Users\chris\Daily |

---

Token Generation Script

Save this as regenerate_google_token.py:

from google_auth_oauthlib.flow import InstalledAppFlow

SCOPES = [
    'https://www.googleapis.com/auth/drive.readonly',
    'https://www.googleapis.com/auth/documents.readonly',
    'https://www.googleapis.com/auth/spreadsheets.readonly',
    'https://www.googleapis.com/auth/drive.file'
]

def main():
    flow = InstalledAppFlow.from_client_secrets_file('credentials.json', SCOPES)
    creds = flow.run_local_server(port=0)
    with open('token.json', 'w') as f:
        f.write(creds.to_json())
    print("Token saved to token.json")

if __name__ == '__main__':
    main()

---

Usage Examples

Reading a Sheet

Extract the spreadsheet ID from the URL: `` https://docs.google.com/spreadsheets/d/1Zlxn88pgMi0WAKFo.../edit ^^^^^^^^^^^^^^^^ This is the ID ``

Reading a Doc

Extract the document ID from the URL: `` https://docs.google.com/document/d/17p5DfXbyEYhsMy.../edit ^^^^^^^^^^^^^^^ This is the ID ``

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Security Notes

• Never commit credentials.json or token.json to version control
• token.json contains refresh tokens that provide persistent access
• Revoke access anytime at: https://myaccount.google.com/permissions

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License

MIT