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io.github.henilcalagiya/google-sheets-mcp MCP Server

io.github.henilcalagiya/google-sheets-mcp

Automate Google Sheets with AI using Model Context Protocol integration.

What is the io.github.henilcalagiya/google-sheets-mcp MCP server?

The Google Sheets MCP Server is an MCP-compatible tool that enables seamless automation of Google Sheets through a secure API layer. It provides full CRUD operations for spreadsheets and tables, allowing AI clients like Claude and Continue.dev to create, read, update, and delete sheets programmatically. Authentication is handled via Google Service Account credentials.

This server bridges Google Sheets with MCP-compatible AI clients, enabling full spreadsheet automation without manual intervention. Use it to programmatically manage sheets, automate data workflows, and integrate spreadsheet operations into AI-driven applications. It works with Continue.dev, Claude Desktop, Perplexity, and other MCP clients.

How to install io.github.henilcalagiya/google-sheets-mcp

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "google-sheets-mcp": {
      "command": "uvx",
      "args": [
        "google-sheets-mcp"
      ]
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • Create Sheets — Create new Google Sheets and tables
  • Read Sheets — Read data from Google Sheets
  • Update Sheets — Update data in Google Sheets
  • Delete Sheets — Delete sheets and tables from Google Sheets

Use cases

  • Automate data entry and updates in Google Sheets from AI agents
  • Generate reports by reading and processing spreadsheet data programmatically
  • Sync data between Google Sheets and other applications via MCP clients
  • Create dynamic spreadsheets based on AI-generated content
  • Manage multi-sheet workflows without manual intervention

io.github.henilcalagiya/google-sheets-mcp MCP server FAQ

What is the Google Sheets MCP Server?

It's an MCP server that enables AI clients like Claude to automate Google Sheets operations including creating, reading, updating, and deleting sheets through a secure API.

Is it free to use?

The server itself is open-source and free (MIT License), but you need a Google Cloud project and Service Account, which may incur costs depending on your usage.

How do I install it in Claude Desktop or Cursor?

Configure it in your MCP client's settings JSON by specifying the uvx command with google-sheets-mcp@latest and providing your Google Service Account credentials as environment variables.

What authentication is required?

You need a Google Cloud Service Account with JSON credentials containing project_id, private_key, client_email, and other fields. Share your target Google Sheet with the service account email for editor access.

What are the system requirements?

Python 3.10+, the uv package manager, a Google Cloud project with enabled Sheets and Drive APIs, and an MCP-compatible client.

Does it support multiple sheets?

Yes, it provides comprehensive tools for managing multiple sheets and tables within Google Sheets, with full CRUD support.

README (reference)

Source of truth, from the repository.

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

  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:

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!

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