Google Sheets Mcp

Google Sheets MCP Server

Powerful tools for automating Google Sheets using Model Context Protocol (MCP)

mcp-name: io.github.henilcalagiya/google-sheets-mcp

Overview

Google Sheets MCP Server provides seamless integration of Google Sheets with any MCP-compatible client. It enables full spreadsheet automation — including creating, reading, updating, and deleting sheets — through a simple and secure API layer.

Features

• Full CRUD support for Google Sheets and tables
• Works with Continue.dev, Claude Desktop, Perplexity, and other MCP clients
• Secure authentication via Google Service Account
• Comprehensive tools for Google Sheets automation
• Automatic installation via uvx

Requirements

• Python 3.10+
• uv package manager (for uvx command)
• A Google Cloud project with a Service Account
• MCP-compatible client (e.g., Continue.dev)

Install uv:

# macOS/Linuxcurl -LsSf https://astral.sh/uv/install.sh | sh
# Windows PowerShellirm https://astral.sh/uv/install.ps1 | iex

Quick Start

1. Set Up Google Service Account

Step 1: Create a Google Cloud Project

1. Go to Google Cloud Console
2. Click "Select a project" → "New Project"
3. Enter a project name (e.g., "my-sheets-automation")
4. Click "Create"

Step 2: Enable Required APIs

1. In your project, go to "APIs & Services" → "Library"
2. Search for "Google Sheets API" → Click → "Enable"
3. Search for "Google Drive API" → Click → "Enable"

Step 3: Create Service Account

1. Go to "IAM & Admin" → "Service Accounts"
2. Click "Create Service Account"
3. Enter service account name (e.g., "sheets-mcp-service")
4. Click "Create and Continue"
5. Skip role assignment → Click "Continue"
6. Click "Done"

Step 4: Generate JSON Key

1. Click on your new service account email
2. Go to "Keys" tab → "Add Key" → "Create new key"
3. Choose "JSON" format → Click "Create"
4. The JSON file will download automatically

Step 5: Extract Required Values Open the downloaded JSON file and note these values:

• project_id (e.g., "my-sheets-automation-123456")
• private_key_id (e.g., "a4ae73111b11b2c3b07cc01006e71eb8230dfa29")
• private_key (the long private key starting with "-----BEGIN PRIVATE KEY-----")
• client_email (e.g., "sheets-mcp-service@my-sheets-automation-123456.iam.gserviceaccount.com")
• client_id (e.g., "113227823918217958816")
• client_x509_cert_url (e.g., "https://www.googleapis.com/robot/v1/metadata/x509/sheets-mcp-service%40my-sheets-automation-123456.iam.gserviceaccount.com")

Example Google service account JSON structure:

{  "type": "service_account",  "project_id": "your-project-id",  "private_key_id": "your-private-key-id",  "private_key": "-----BEGIN PRIVATE KEY-----\n...\n-----END PRIVATE KEY-----\n",  "client_email": "[email protected]",  "client_id": "your-client-id",  "auth_uri": "https://accounts.google.com/o/oauth2/auth",  "token_uri": "https://oauth2.googleapis.com/token",  "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",  "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/your-service%40your-project.iam.gserviceaccount.com"}

Follow this guide if needed

2. Configure MCP Client

{  "mcpServers": {    "google-sheets-mcp": {      "command": "uvx",      "args": ["google-sheets-mcp@latest"],      "env": {        "project_id": "your-project-id",        "private_key_id": "your-private-key-id",        "private_key": "-----BEGIN PRIVATE KEY-----\n...\n-----END PRIVATE KEY-----\n",        "client_email": "[email protected]",        "client_id": "your-client-id",        "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/your-service%40your-project.iam.gserviceaccount.com"      }    }  }}

💡 Pro Tip: You can copy the values directly from your Google service account JSON file. The field names in the JSON file are used exactly as they are - no changes needed!

🔄 Backward Compatibility: The server also supports the old GOOGLE_ prefixed variable names (e.g., GOOGLE_PROJECT_ID) for existing configurations.

3. Share Your Google Sheet with the Service Account

• Open your target Google Spreadsheet in your web browser.
• Click the Share button.
• Enter the service account email (e.g., [email protected]) and assign Editor access.
• Click Send to provide editor permissions.

🎉 You're all set! Your MCP client will automatically install and run the package when needed.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Henil C Alagiya

• GitHub: @henilcalagiya
• LinkedIn: Henil C Alagiya

Support & Contributions:

• 🐛 Report Issues: GitHub Issues
• 💬 Questions: Reach out on LinkedIn
• 🤝 Contributions: Pull requests welcome!