mcp-google-sheets is a Python-based MCP server that acts as a bridge between any MCP-compatible client (like Claude Desktop) and the Google Sheets API. It allows you to interact with your Google Spreadsheets using a defined set of tools, enabling powerful automation and data manipulation workflows driven by AI.

Essentially the server runs in one line: uvx mcp-google-sheets@latest.

This command will automatically download the latest code and run it. We recommend always using @latest to ensure you have the newest version with the latest features and bug fixes.

Refer to the ID Reference Guide for more information about the IDs used below.

1. ☁️ Prerequisite: Google Cloud Setup

   • You must configure Google Cloud Platform credentials and enable the necessary APIs first. We strongly recommend using a Service Account.
   • ➡️ Jump to the Detailed Google Cloud Platform Setup guide below.

2. 🐍 Install uv

   • uvx is part of uv, a fast Python package installer and resolver. Install it if you haven't already:

     # macOS / Linux
     curl -LsSf https://astral.sh/uv/install.sh | sh
     # Windows
     powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
     # Or using pip:
     # pip install uv

     Follow instructions in the installer output to add uv to your PATH if needed.

3. 🔑 Set Essential Environment Variables (Service Account Recommended)

   • You need to tell the server how to authenticate. Set these variables in your terminal:
   • (Linux/macOS)

     # Replace with YOUR actual path and folder ID from the Google Setup step
     export SERVICE_ACCOUNT_PATH="/path/to/your/service-account-key.json"
     export DRIVE_FOLDER_ID="YOUR_DRIVE_FOLDER_ID"

   • (Windows CMD)

     set SERVICE_ACCOUNT_PATH="C:\path\to\your\service-account-key.json"
     set DRIVE_FOLDER_ID="YOUR_DRIVE_FOLDER_ID"

   • (Windows PowerShell)

     $env:SERVICE_ACCOUNT_PATH = "C:\path\to\your\service-account-key.json"
     $env:DRIVE_FOLDER_ID = "YOUR_DRIVE_FOLDER_ID"

   • ➡️ See Detailed Authentication & Environment Variables for other options (OAuth, CREDENTIALS_CONFIG).

4. 🏃 Run the Server!

   • uvx will automatically download and run the latest version of mcp-google-sheets:

     uvx mcp-google-sheets@latest

   • The server will start and print logs indicating it's ready.

   • 💡 Pro Tip: Always use @latest to ensure you get the newest version with bug fixes and features. Without @latest, uvx may use a cached older version.

5. 🔌 Connect your MCP Client

   • Configure your client (e.g., Claude Desktop) to connect to the running server.
   • Depending on the client you use, you might not need step 4 because the client can launch the server for you. But it's a good practice to test run step 4 anyway to make sure things are set up properly.
   • ➡️ See Usage with Claude Desktop for examples.

You're ready! Start issuing commands via your MCP client.

• Seamless Integration: Connects directly to Google Drive & Google Sheets APIs.
• Comprehensive Tools: Offers a wide range of operations (CRUD, listing, batching, sharing, formatting, etc.).
• Flexible Authentication: Supports Service Accounts (recommended), OAuth 2.0, and direct credential injection via environment variables.
• Easy Deployment: Run instantly with uvx (zero-install feel) or clone for development using uv.
• AI-Ready: Designed for use with MCP-compatible clients, enabling natural language spreadsheet interaction.

This server exposes the following tools for interacting with Google Sheets:

Refer to the ID Reference Guide for more information about the IDs used below.

(Input parameters are typically strings unless otherwise specified)

• list_spreadsheets: Lists spreadsheets in the configured Drive folder (Service Account) or accessible by the user (OAuth).
  • folder_id (optional string): Google Drive folder ID to search in. Get from its URL. If omitted, uses the configured default folder or searches 'My Drive'.
  • Returns: List of objects [{id: string, title: string}]
• create_spreadsheet: Creates a new spreadsheet.
  • title (string): The desired title for the spreadsheet. Example: "Quarterly Report Q4".
  • folder_id (optional string): Google Drive folder ID where the spreadsheet should be created. Get from its URL. If omitted, uses configured default or root.
  • Returns: Object with spreadsheet info, including spreadsheetId, title, and folder.
• get_sheet_data: Reads data from a range in a sheet/tab.
  • spreadsheet_id (string): The spreadsheet ID (from its URL).
  • sheet (string): Name of the sheet/tab (e.g., "Sheet1").
  • range (optional string): A1 notation (e.g., 'A1:C10', 'Sheet1!B2:D'). If omitted, reads the whole sheet/tab specified by sheet.
  • include_grid_data (optional boolean, default False): If True, returns full grid data including formatting and metadata (much larger). If False, returns values only (more efficient).
  • Returns: If include_grid_data=True, full grid data with metadata (get response). If False, a values result object from the Values API (values.get response).
• get_sheet_formulas: Reads formulas from a range in a sheet/tab.
  • spreadsheet_id (string): The spreadsheet ID (from its URL).
  • sheet (string): Name of the sheet/tab (e.g., "Sheet1").
  • range (optional string): A1 notation (e.g., 'A1:C10', 'Sheet1!B2:D'). If omitted, reads all formulas in the sheet/tab specified by sheet.
  • Returns: 2D array of cell formulas (array of arrays) (values.get response).
• update_cells: Writes data to a specific range. Overwrites existing data.
  • spreadsheet_id (string): The spreadsheet ID (from its URL).
  • sheet (string): Name of the sheet/tab (e.g., "Sheet1").
  • range (string): A1 notation range to write to (e.g., 'A1:C3').
  • data (array of arrays): 2D array of values to write. Example: [[1, 2, 3], ["a", "b", "c"]].
  • Returns: Update result object (values.update response).
• batch_update_cells: Updates multiple ranges in one API call.
  • spreadsheet_id (string): The spreadsheet ID (from its URL).
  • sheet (string): Name of the sheet/tab (e.g., "Sheet1").
  • ranges (object): Dictionary mapping range strings (A1 notation) to 2D arrays of values. Example: { "A1:B2": [[1, 2], [3, 4]], "D5": [["Hello"]] }.
  • Returns: Result of the operation (values.batchUpdate response).
• add_rows: Adds (inserts) empty rows to a sheet/tab at a specified index.
  • spreadsheet_id (string): The spreadsheet ID (from its URL).
  • sheet (string): Name of the sheet/tab (e.g., "Sheet1").
  • count (integer): Number of empty rows to insert.
  • start_row (optional integer, default 0): 0-based row index to start inserting rows. If omitted, defaults to 0 (inserts at the beginning).
  • Returns: Result of the operation (batchUpdate response).
• list_sheets: Lists all sheet/tab names within a spreadsheet.
  • spreadsheet_id (string): The spreadsheet ID (from its URL).
  • Returns: List of sheet/tab name strings. Example: ["Sheet1", "Sheet2"].
• create_sheet: Adds a new sheet/tab to a spreadsheet.
  • spreadsheet_id (string): The spreadsheet ID (from its URL).
  • title (string): Name for the new sheet/tab.
  • Returns: New sheet properties object.
• get_multiple_sheet_data: Fetches data from multiple ranges across potentially different spreadsheets in one call.
  • queries (array of objects): Each object needs spreadsheet_id, sheet, and range. Example: [{"spreadsheet_id": "abc", "sheet": "Sheet1", "range": "A1:B2"}, ...].
  • Returns: List of objects, each containing the query params and fetched data or an error. Each data is a values.get response.
• get_multiple_spreadsheet_summary: Gets titles, sheet/tab names, headers, and first few rows for multiple spreadsheets.
  • spreadsheet_ids (array of strings): IDs of the spreadsheets (from their URLs).
  • rows_to_fetch (optional integer, default 5): How many rows (including header) to preview. Example: 5.
  • Returns: List of summary objects for each spreadsheet.
• share_spreadsheet: Shares a spreadsheet with specified users/emails and roles.
  • spreadsheet_id (string): The spreadsheet ID (from its URL).
  • recipients (array of objects): [{"email_address": "[email protected]", "role": "writer"}, ...]. Roles: reader, commenter, writer.
  • send_notification (optional boolean, default True): Send email notifications to recipients.
  • Returns: Dictionary with successes and failures lists.
• add_columns: Adds (inserts) empty columns to a sheet/tab at a specified index.
  • spreadsheet_id (string): The spreadsheet ID (from its URL).
  • sheet (string): Name of the sheet/tab (e.g., "Sheet1").
  • count (integer): Number of empty columns to insert.
  • start_column (optional integer, default 0): 0-based column index to start inserting. If omitted, defaults to 0 (inserts at the beginning).
  • Returns: Result of the operation (batchUpdate response).
• copy_sheet: Duplicates a sheet/tab from one spreadsheet to another and optionally renames it.
  • src_spreadsheet (string): Source spreadsheet ID (from its URL).
  • src_sheet (string): Source sheet/tab name (e.g., "Sheet1").
  • dst_spreadsheet (string): Destination spreadsheet ID (from its URL).
  • dst_sheet (string): Desired sheet/tab name in the destination spreadsheet.
  • Returns: Result of the copy and optional rename operations.
• rename_sheet: Renames an existing sheet/tab.
  • spreadsheet (string): The spreadsheet ID (from its URL).
  • sheet (string): Current sheet/tab name (e.g., "Sheet1").
  • new_name (string): New sheet/tab name (e.g., "Transactions").
  • Returns: Result of the operation (batchUpdate response).

MCP Resources:

• spreadsheet://{spreadsheet_id}/info: Get basic metadata about a Google Spreadsheet.
  • Returns: JSON string with spreadsheet information.

This setup is required before running the server.

1. Create/Select a GCP Project: Go to the Google Cloud Console.
2. Enable APIs: Navigate to "APIs & Services" -> "Library". Search for and enable:
   • Google Sheets API
   • Google Drive API
3. Configure Credentials: You need to choose one authentication method below (Service Account is recommended).

The server needs credentials to access Google APIs. Choose one method:

Refer to the ID Reference Guide for more information about the IDs used below.

• Why? Headless (no browser needed), secure, ideal for server environments. Doesn't expire easily.
• Steps:
  1. Create Service Account: In GCP Console -> "IAM & Admin" -> "Service Accounts".
     • Click "+ CREATE SERVICE ACCOUNT". Name it (e.g., mcp-sheets-service).
     • Grant Roles: Add Editor role for broad access, or more granular roles (like roles/drive.file and specific Sheets roles) for stricter permissions.
     • Click "Done". Find the account, click Actions (⋮) -> "Manage keys".
     • Click "ADD KEY" -> "Create new key" -> JSON -> "CREATE".
     • Download and securely store the JSON key file.
  2. Create & Share Google Drive Folder:
     • In Google Drive, create a folder (e.g., "AI Managed Sheets").
     • Note the Folder ID from the URL: https://drive.google.com/drive/folders/THIS_IS_THE_FOLDER_ID.
     • Right-click the folder -> "Share" -> "Share".
     • Enter the Service Account's email (from the JSON file client_email).
     • Grant Editor access. Uncheck "Notify people". Click "Share".
  3. Set Environment Variables:
     • SERVICE_ACCOUNT_PATH: Full path to the downloaded JSON key file.
     • DRIVE_FOLDER_ID: The ID of the shared Google Drive folder. (See Ultra Quick Start for OS-specific examples)

• Why? For personal use or local development where interactive browser login is okay.
• Steps:
  1. Configure OAuth Consent Screen: In GCP Console -> "APIs & Services" -> "OAuth consent screen". Select "External", fill required info, add scopes (.../auth/spreadsheets, .../auth/drive), add test users if needed.
  2. Create OAuth Client ID: In GCP Console -> "APIs & Services" -> "Credentials". "+ CREATE CREDENTIALS" -> "OAuth client ID" -> Type: Desktop app. Name it. "CREATE". Download JSON.
  3. Set Environment Variables:
     • CREDENTIALS_PATH: Path to the downloaded OAuth credentials JSON file (default: credentials.json).
     • TOKEN_PATH: Path to store the user's refresh token after first login (default: token.json). Must be writable.

• Why? Useful in environments like Docker, Kubernetes, or CI/CD where managing files is hard, but environment variables are easy/secure. Avoids file system access.
• How? Instead of providing a path to the credentials file, you provide the content of the file, encoded in Base64, directly in an environment variable.
• Steps:
  1. Get your credentials JSON file (either Service Account key or OAuth Client ID file). Let's call it your_credentials.json.
  2. Generate the Base64 string:
     • (Linux/macOS): base64 -w 0 your_credentials.json
     • (Windows PowerShell):

       $filePath = "C:\path\to\your_credentials.json"; # Use actual path
       $bytes = [System.IO.File]::ReadAllBytes($filePath);
       $base64 = [System.Convert]::ToBase64String($bytes);
       $base64 # Copy this output

     • (Caution): Avoid pasting sensitive credentials into untrusted online encoders.
  3. Set the Environment Variable:
     • CREDENTIALS_CONFIG: Set this variable to the full Base64 string you just generated.

       # Example (Linux/macOS) - Use the actual string generated
       export CREDENTIALS_CONFIG="ewogICJ0eXBlIjogInNlcnZpY2VfYWNjb..."

• Why? Ideal for Google Cloud environments (GKE, Compute Engine, Cloud Run) and local development with gcloud auth application-default login. No explicit credential files needed.
• How? Uses Google's Application Default Credentials chain to automatically discover credentials from multiple sources.
• ADC Search Order:
  1. GOOGLE_APPLICATION_CREDENTIALS environment variable (path to service account key) - Google's standard variable
  2. gcloud auth application-default login credentials (local development)
  3. Attached service account from metadata server (GKE, Compute Engine, etc.)
• Setup:
  • Local Development:
    1. Run gcloud auth application-default login --scopes=https://www.googleapis.com/auth/cloud-platform,https://www.googleapis.com/auth/spreadsheets,https://www.googleapis.com/auth/drive once
    2. Set a quota project: gcloud auth application-default set-quota-project <project_id> (replace <project_id> with your Google Cloud project ID)
  • Google Cloud: Attach a service account to your compute resource
  • Environment Variable: Set GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json (Google's standard)
• No additional environment variables needed - ADC is used automatically as a fallback when other methods fail.

Note: GOOGLE_APPLICATION_CREDENTIALS is Google's official standard environment variable, while SERVICE_ACCOUNT_PATH is specific to this MCP server. If you set GOOGLE_APPLICATION_CREDENTIALS, ADC will find it automatically.

The server checks for credentials in this order:

1. CREDENTIALS_CONFIG (Base64 content)
2. SERVICE_ACCOUNT_PATH (Path to Service Account JSON)
3. CREDENTIALS_PATH (Path to OAuth JSON) - triggers interactive flow if token is missing/expired
4. Application Default Credentials (ADC) - automatic fallback

Environment Variable Summary:

Refer to the ID Reference Guide for more information about the IDs used below.

As shown in the Ultra Quick Start, this is the easiest way. Set environment variables, then run:

uvx mcp-google-sheets@latest

uvx handles fetching and running the package temporarily.

If you want to modify the code:

1. Clone: git clone https://github.com/yourusername/mcp-google-sheets.git && cd mcp-google-sheets (Use actual URL)
2. Set Environment Variables: As described above.
3. Run using uv: (Uses the local code)

   uv run mcp-google-sheets
   # Or via the script name if defined in pyproject.toml, e.g.:
   # uv run start

Run the server in a container using the included Dockerfile:

# Build the image
docker build -t mcp-google-sheets .

# Run (SSE on port 8000)
# NOTE: Prefer CREDENTIALS_CONFIG (Base64 credentials content) in containers.
docker run --rm -p 8000:8000 ^
  -e HOST=0.0.0.0 ^
  -e PORT=8000 ^
  -e CREDENTIALS_CONFIG=YOUR_BASE64_CREDENTIALS ^
  -e DRIVE_FOLDER_ID=YOUR_DRIVE_FOLDER_ID ^
  mcp-google-sheets

• Use CREDENTIALS_CONFIG instead of SERVICE_ACCOUNT_PATH inside Docker to avoid mounting secrets as files.
• The container starts with --transport sse and listens on HOST/PORT. Point your MCP client to http://localhost:8000 using SSE transport.

Add the server config to claude_desktop_config.json under mcpServers. Choose the block matching your setup:

Refer to the ID Reference Guide for more information about the IDs used below.

⚠️ Important Notes:

• 🍎 macOS Users: use the full path: "/Users/yourusername/.local/bin/uvx" instead of just "uvx"

{
  "mcpServers": {
    "google-sheets": {
      "command": "uvx",
      "args": ["mcp-google-sheets@latest"],
      "env": {
        "SERVICE_ACCOUNT_PATH": "/full/path/to/your/service-account-key.json",
        "DRIVE_FOLDER_ID": "your_shared_folder_id_here"
      }
    }
  }
}

{
  "mcpServers": {
    "google-sheets": {
      "command": "/Users/yourusername/.local/bin/uvx",
      "args": ["mcp-google-sheets@latest"],
      "env": {
        "SERVICE_ACCOUNT_PATH": "/full/path/to/your/service-account-key.json",
        "DRIVE_FOLDER_ID": "your_shared_folder_id_here"
      }
    }
  }
}

{
  "mcpServers": {
    "google-sheets": {
      "command": "uvx",
      "args": ["mcp-google-sheets@latest"],
      "env": {
        "CREDENTIALS_PATH": "/full/path/to/your/credentials.json",
        "TOKEN_PATH": "/full/path/to/your/token.json"
      }
    }
  }
}

{
  "mcpServers": {
    "google-sheets": {
      "command": "uvx",
      "args": ["mcp-google-sheets@latest"],
      "env": {
        "CREDENTIALS_CONFIG": "ewogICJ0eXBlIjogInNlcnZpY2VfYWNjb3VudCIsCiAgInByb2plY3RfaWQiOiAi...",
        "DRIVE_FOLDER_ID": "your_shared_folder_id_here"
      }
    }
  }
}

{
  "mcpServers": {
    "google-sheets": {
      "command": "uvx",
      "args": ["mcp-google-sheets@latest"],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/service-account.json"
      }
    }
  }
}

{
  "mcpServers": {
    "google-sheets": {
      "command": "uvx",
      "args": ["mcp-google-sheets@latest"],
      "env": {}
    }
  }
}

{
  "mcpServers": {
    "mcp-google-sheets-local": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/your/mcp-google-sheets",
        "mcp-google-sheets"
      ],
      "env": {
        "SERVICE_ACCOUNT_PATH": "/path/to/your/mcp-google-sheets/service_account.json",
        "DRIVE_FOLDER_ID": "your_drive_folder_id_here"
      }
    }
  }
}

Once connected, try prompts like:

• "List all spreadsheets I have access to." (or "in my AI Managed Sheets folder")
• "Create a new spreadsheet titled 'Quarterly Sales Report Q3 2024'."
• "In the 'Quarterly Sales Report' spreadsheet, get the data from Sheet1 range A1 to E10."
• "Add a new sheet named 'Summary' to the spreadsheet with ID 1aBcDeFgHiJkLmNoPqRsTuVwXyZ."
• "In my 'Project Tasks' spreadsheet, Sheet 'Tasks', update cell B2 to 'In Progress'."
• "Append these rows to the 'Log' sheet in spreadsheet XYZ: [['2024-07-31', 'Task A Completed'], ['2024-08-01', 'Task B Started']]"
• "Get a summary of the spreadsheets 'Sales Data' and 'Inventory Count'."
• "Share the 'Team Vacation Schedule' spreadsheet with [email protected] as a reader and [email protected] as a writer. Don't send notifications."

Use the following reference guide to find the various IDs referenced throughout the docs:

Google Cloud Project ID:
  https://console.cloud.google.com/apis/dashboard?project=sheets-mcp-server-123456
                                                          └───── Project ID ─────┘

Google Drive Folder ID:
  https://drive.google.com/drive/u/0/folders/1xcRQCU9xrNVBPTeNzHqx4hrG7yR91WIa
                                             └────────── Folder ID ──────────┘

Google Sheets Spreadsheet ID:
  https://docs.google.com/spreadsheets/d/25_-_raTaKjaVxu9nJzA7-FCrNhnkd3cXC54BPAOXemI/edit
                                         └───────────── Spreadsheet ID ─────────────┘

Contributions are welcome! Please open an issue to discuss bugs or feature requests. Pull requests are appreciated.

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

• Built with FastMCP.
• Inspired by kazz187/mcp-google-spreadsheet.
• Uses Google API Python Client libraries.