mcp-google-sheets

Your AI Assistant's Gateway to Google Sheets! 📊

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--- ## 🤔 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 cmd 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. 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**](#-google-cloud-platform-setup-detailed) 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 # 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)** ```bash # 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 set SERVICE_ACCOUNT_PATH="C:\path\to\your\service-account-key.json" set DRIVE_FOLDER_ID="YOUR_DRIVE_FOLDER_ID" ``` * **(Windows PowerShell)** ```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**](#-authentication--environment-variables-detailed) for other options (OAuth, `CREDENTIALS_CONFIG`). 4. **🏃 Run the Server!** * `uvx` will automatically download and run the latest version of `mcp-google-sheets`: ```bash 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**](#-usage-with-claude-desktop) for examples. 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. --- ## 🛠️ Available Tools & Resources This server exposes the following tools for interacting with Google Sheets: *(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). * _Returns:_ List of objects `[{id: string, title: string}]` * **`create_spreadsheet`**: Creates a new spreadsheet. * `title` (string): The desired title. * _Returns:_ Object with spreadsheet info, including `spreadsheetId`. * **`get_sheet_data`**: Reads data from a range in a sheet. * `spreadsheet_id` (string) * `sheet` (string): Name of the sheet. * `range` (optional string): A1 notation (e.g., `'A1:C10'`, `'Sheet1!B2:D'`). If omitted, reads the whole sheet. * `include_grid_data` (optional boolean, default False): If True, includes cell formatting and other metadata (larger response). If False, returns values only (more efficient). * _Returns:_ If `include_grid_data=True`, full grid data with metadata. If `False`, a values result object from the Values API. * **`get_sheet_formulas`**: Reads formulas from a range in a sheet. * `spreadsheet_id` (string) * `sheet` (string): Name of the sheet. * `range` (optional string): A1 notation (e.g., `'A1:C10'`, `'Sheet1!B2:D'`). If omitted, reads the whole sheet. * _Returns:_ 2D array of cell formulas. * **`update_cells`**: Writes data to a specific range. Overwrites existing data. * `spreadsheet_id` (string) * `sheet` (string) * `range` (string): A1 notation. * `data` (2D array): Values to write. * _Returns:_ Update result object. * **`batch_update_cells`**: Updates multiple ranges in one API call. * `spreadsheet_id` (string) * `sheet` (string) * `ranges` (object): Dictionary mapping range strings (A1 notation) to 2D arrays of values `{ "A1:B2": [[1, 2], [3, 4]], "D5": [["Hello"]] }`. * _Returns:_ Batch update result object. * **`add_rows`**: Appends rows to the end of a sheet (after the last row with data). * `spreadsheet_id` (string) * `sheet` (string) * `data` (2D array): Rows to append. * _Returns:_ Update result object. * **`list_sheets`**: Lists all sheet names within a spreadsheet. * `spreadsheet_id` (string) * _Returns:_ List of sheet name strings `["Sheet1", "Sheet2"]`. * **`create_sheet`**: Adds a new sheet (tab) to a spreadsheet. * `spreadsheet_id` (string) * `title` (string): Name for the new sheet. * _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`. `[{spreadsheet_id: 'abc', sheet: 'Sheet1', range: 'A1:B2'}, ...]`. * _Returns:_ List of objects, each containing the query params and fetched `data` or an `error`. * **`get_multiple_spreadsheet_summary`**: Gets titles, sheet names, headers, and first few rows for multiple spreadsheets. * `spreadsheet_ids` (array of strings) * `rows_to_fetch` (optional integer, default 5): How many rows (including header) to preview. * _Returns:_ List of summary objects for each spreadsheet. * **`share_spreadsheet`**: Shares a spreadsheet with specified users/emails and roles. * `spreadsheet_id` (string) * `recipients` (array of objects): `[{email_address: 'user@example.com', role: 'writer'}, ...]`. Roles: `reader`, `commenter`, `writer`. * `send_notification` (optional boolean, default True): Send email notifications. * _Returns:_ Dictionary with `successes` and `failures` lists. * **`add_columns`**: Adds columns to a sheet. *(Verify parameters if implemented)* * **`copy_sheet`**: Duplicates a sheet within a spreadsheet. *(Verify parameters if implemented)* * **`rename_sheet`**: Renames an existing sheet. *(Verify parameters if implemented)* **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](https://console.cloud.google.com/). 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: ### 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](https://drive.google.com/), 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](#-ultra-quick-start-using-uvx) 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 $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. ```bash # 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 ` (replace `` 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:** | Variable | Method(s) | Description | Default | | :--------------------- | :-------------------------- | :-------------------------------------------------------------- | :--------------- | | `SERVICE_ACCOUNT_PATH` | Service Account | Path to the Service Account JSON key file (MCP server specific). | - | | `GOOGLE_APPLICATION_CREDENTIALS` | ADC | Path to service account key (Google's standard variable). | - | | `DRIVE_FOLDER_ID` | Service Account | ID of the Google Drive folder shared with the Service Account. | - | | `CREDENTIALS_PATH` | OAuth 2.0 | Path to the OAuth 2.0 Client ID JSON file. | `credentials.json` | | `TOKEN_PATH` | OAuth 2.0 | Path to store the generated OAuth token. | `token.json` | | `CREDENTIALS_CONFIG` | Service Account / OAuth 2.0 | Base64 encoded JSON string of credentials content. | - | --- ## ⚙️ Running the Server (Detailed) ### Method 1: Using `uvx` (Recommended for Users) As shown in the [Ultra Quick Start](#-ultra-quick-start-using-uvx), this is the easiest way. Set environment variables, then run: ```bash 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 uv run mcp-google-sheets # Or via the script name if defined in pyproject.toml, e.g.: # uv run start ``` --- ## 🔌 Usage with Claude Desktop Add the server config to `claude_desktop_config.json` under `mcpServers`. Choose the block matching your setup: **⚠️ Important Notes:** - **🍎 macOS Users:** use the full path: `"/Users/yourusername/.local/bin/uvx"` instead of just `"uvx"`

🔵 Config: uvx + Service Account (Recommended)

```json { "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" } } } } ``` **🍎 macOS Note:** If you get a `spawn uvx ENOENT` error, use the full path to `uvx`: ```json { "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" } } } } ``` *Replace `yourusername` with your actual username.*

🔵 Config: uvx + OAuth 2.0

```json { "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" } } } } ``` *Note: A browser may open for Google login on first use. Ensure TOKEN_PATH is writable.* **🍎 macOS Note:** If you get a `spawn uvx ENOENT` error, replace `"command": "uvx"` with `"command": "/Users/yourusername/.local/bin/uvx"` (replace `yourusername` with your actual username).

🔵 Config: uvx + CREDENTIALS_CONFIG (Service Account Example)

```json { "mcpServers": { "google-sheets": { "command": "uvx", "args": ["mcp-google-sheets@latest"], "env": { "CREDENTIALS_CONFIG": "ewogICJ0eXBlIjogInNlcnZpY2VfYWNjb3VudCIsCiAgInByb2plY3RfaWQiOiAi...", "DRIVE_FOLDER_ID": "your_shared_folder_id_here" } } } } ``` *Note: Paste the full Base64 string for CREDENTIALS_CONFIG. DRIVE_FOLDER_ID is still needed for Service Account folder context.* **🍎 macOS Note:** If you get a `spawn uvx ENOENT` error, replace `"command": "uvx"` with `"command": "/Users/yourusername/.local/bin/uvx"` (replace `yourusername` with your actual username).

🔵 Config: uvx + Application Default Credentials (ADC)

**Option 1: With GOOGLE_APPLICATION_CREDENTIALS** ```json { "mcpServers": { "google-sheets": { "command": "uvx", "args": ["mcp-google-sheets@latest"], "env": { "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/service-account.json" } } } } ``` **Option 2: With gcloud auth (no env vars needed)** ```json { "mcpServers": { "google-sheets": { "command": "uvx", "args": ["mcp-google-sheets@latest"], "env": {} } } } ``` *Prerequisites:* 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` first.* 2. *Set quota project: `gcloud auth application-default set-quota-project `* **🍎 macOS Note:** If you get a `spawn uvx ENOENT` error, replace `"command": "uvx"` with `"command": "/Users/yourusername/.local/bin/uvx"` (replace `yourusername` with your actual username).

🟡 Config: Development (Running from cloned repo)

```json { "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" } } } } ``` *Note: Use `--directory` flag to specify the project path, and adjust paths to match your actual workspace location.*

--- ## 💬 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." --- ## 🤝 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](LICENSE) file for details. --- ## 🙏 Credits * Built with [FastMCP](https://github.com/cognitiveapis/fastmcp). * Inspired by [kazz187/mcp-google-spreadsheet](https://github.com/kazz187/mcp-google-spreadsheet). * Uses Google API Python Client libraries.