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google-sheets-mcp

Your AI Assistant's Gateway to Google Sheets! 25 powerful tools for seamless Google Sheets automation via MCP

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0.1.6
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49
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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/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows PowerShell
irm https://astral.sh/uv/install.ps1 | iex

Quick Start

1. Set Up Google Service Account

Step 1: Create a Google Cloud Project

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

Step 2: Enable Required APIs

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

Step 3: Create Service Account

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

Step 4: Generate JSON Key

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

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

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": "your-service@your-project.iam.gserviceaccount.com",
  "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": "your-service@your-project.iam.gserviceaccount.com",
        "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., your-service@your-project.iam.gserviceaccount.com) 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

Support & Contributions:

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

Keywords

ai

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