MCP Google Sheets README

🤔 What is this?

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.

🚀 Quick Start (Using uvx)

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:
     bash

     Copy

     # 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)
     server.ts

     Copy

     # 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)
     cmd

     Copy

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

   • (Windows PowerShell)
     powershell

     Copy

     $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:
     bash

     Copy

     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.

6. ⚡ Optional: Enable Tool Filtering (Reduce Context Usage)

   • By default, all 19 tools are enabled (~13K tokens). To reduce context usage, enable only the tools you need.
   • ➡️ See Tool Filtering for details.

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

✨ Key Features

• 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.
• Tool Filtering: Reduce context window usage by enabling only the tools you need with --include-tools or ENABLED_TOOLS environment variable.

🎯 Tool Filtering (Reduce Context Usage)

Problem: By default, this MCP server exposes all 19 tools, consuming ~13,000 tokens before any conversation begins. If you only need a few tools, this wastes valuable context window space.

Solution: Use tool filtering to enable only the tools you actually use.

How to Enable Tool Filtering

You can filter tools using either:

1. Command-line argument --include-tools:

   config.json

   Copy

   {
     "mcpServers": {
       "google-sheets": {
         "command": "uvx",
         "args": [
           "mcp-google-sheets@latest",
           "--include-tools",
           "get_sheet_data,update_cells,list_spreadsheets,list_sheets"
         ],
         "env": {
           "SERVICE_ACCOUNT_PATH": "/path/to/credentials.json"
         }
       }
     }
   }
   

2. Environment variable ENABLED_TOOLS:

   config.json

   Copy

   {
     "mcpServers": {
       "google-sheets": {
         "command": "uvx",
         "args": ["mcp-google-sheets@latest"],
         "env": {
           "SERVICE_ACCOUNT_PATH": "/path/to/credentials.json",
           "ENABLED_TOOLS": "get_sheet_data,update_cells,list_spreadsheets,list_sheets"
         }
       }
     }
   }
   

Available Tool Names

When filtering, use these exact tool names (comma-separated, no spaces):

Most Common Tools (recommended subset):

• get_sheet_data - Read from spreadsheets
• update_cells - Write to spreadsheets
• list_spreadsheets - Find spreadsheets
• list_sheets - Navigate tabs

All Available Tools:

• add_columns
• add_rows
• batch_update
• batch_update_cells
• copy_sheet
• create_sheet
• create_spreadsheet
• find_in_spreadsheet
• get_multiple_sheet_data
• get_multiple_spreadsheet_summary
• get_sheet_data
• get_sheet_formulas
• list_folders
• list_sheets
• list_spreadsheets
• rename_sheet
• search_spreadsheets
• share_spreadsheet
• update_cells

Note: If neither --include-tools nor ENABLED_TOOLS is specified, all tools are enabled (default behavior).

🛠️ Available Tools & Resources

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": "user@example.com", "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).
• add_chart: Creates a chart in a Google Spreadsheet from specified data.
  • spreadsheet_id (string): The spreadsheet ID (from its URL).
  • sheet (string): Name of the sheet/tab containing the data (e.g., "Sheet1").
  • chart_type (string): Type of chart to create. Options: COLUMN (vertical bars), BAR (horizontal bars), LINE, AREA, PIE, SCATTER, COMBO, HISTOGRAM.
  • data_range (string): A1 notation range for the chart data (e.g., "A1:C10"). First row is treated as headers.
  • title (optional string): Chart title.
  • x_axis_label (optional string): Label for the X axis (bottom axis). Not applicable for pie charts.
  • y_axis_label (optional string): Label for the Y axis (left axis). Not applicable for pie charts.
  • position_x (optional integer, default 0): Horizontal position offset in pixels from the top-left corner.
  • position_y (optional integer, default 0): Vertical position offset in pixels from the top-left corner.
  • width (optional integer, default 600): Width of the chart in pixels.
  • height (optional integer, default 400): Height of the chart in pixels.
  • Returns: Result object with success status, chart ID, and operation details.

MCP Resources:

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

☁️ Google Cloud Platform Setup (Detailed)

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).

🔑 Authentication & Environment Variables (Detailed)

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.

Method A: Service Account (Recommended for Servers/Automation) ✅

• 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)

Method B: OAuth 2.0 (Interactive / Personal Use) 🧑‍💻

• 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.

Method C: Direct Credential Injection (Advanced) 🔒

• 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):
       powershell

       Copy

       $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.
       server.ts

       Copy

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

Method D: Application Default Credentials (ADC) 🌐

• 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.

Authentication Priority & Summary

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:

⚙️ Running the Server (Detailed)

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

Method 1: Using uvx (Recommended for Users)

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.

Method 2: For Development (Cloning the Repo)

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)
   bash

   Copy

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

Method 3: Docker (SSE transport)

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.

🔌 Usage with Claude Desktop

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"
      }
    }
  }
}

💬 Example Prompts for Claude

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 team@example.com as a reader and manager@example.com as a writer. Don't send notifications."
• "Create a column chart in my 'Sales Report' spreadsheet showing monthly revenue from data in range A1:B13."
• "Add a pie chart to the 'Market Analysis' sheet with data from A1:B5 titled 'Market Share by Product'."
• "In spreadsheet abc123, create a line chart on Sheet1 from range A1:C10 with title 'Growth Trends' and labels 'Month' and 'Revenue'."

🆔 ID Reference Guide

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 ─────────────┘

🤝 Contributing

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

📄 License

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

🙏 Credits

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