Google Workspace MCP Server
Provides read/write access to Google Sheets and Google Docs through MCP tools, enabling operations like reading sheets, appending rows, and editing documents.
README
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
- Go to Google Cloud Console
- Create a new project (or select existing)
- Enable these APIs:
- Google Sheets API
- Google Docs API
- Google Drive API
- Create OAuth 2.0 credentials (Desktop app type)
- 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.
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.
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
Security Notes
- Never commit
credentials.jsonortoken.jsonto version control token.jsoncontains refresh tokens that provide persistent access- Revoke access anytime at: https://myaccount.google.com/permissions
License
MIT
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