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MCP server · Commerce

giuseppe-coco/Google-Workspace-MCP-Server

MCP server for Google Workspace integration with OAuth2 authentication

Unclaimed MIT last commit a year ago commerce
50Fair

Scored 7 days ago · breakdown

About giuseppe-coco/Google-Workspace-MCP-Server

giuseppe-coco/Google-Workspace-MCP-Server is an MCP server published by giuseppe-coco in the Commerce category: mCP server for Google Workspace integration with OAuth2 authentication.

The repository has 30 stars and 11 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

Install
npx google-workspace-mcp-server
Claude Code
claude mcp add google-workspace-mcp-server -- npx -y google-workspace-mcp-server
npx
npx -y google-workspace-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 21 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

Google Workspace MCP Server

A Model Context Protocol (MCP) server that acts as a secure bridge between your personal Google Workspace account (Gmail, Calendar, etc.) and any MCP-compatible AI client, such as Claude Desktop.

Features

  • Google Calendar:
    • Effortlessly list and search for events on your primary calendar within a specific date range.
    • Create new events with detailed information like title, description, start, and end times.
    • Update existing events, allowing for partial modifications such as changing the title or time.
    • Delete events directly from your calendar.
  • Gmail:
    • Read the content of your most recent email to stay up-to-date.
    • Search for specific emails by their subject line to find important conversations.
    • Compose and send new emails directly from your account.
  • Google Drive:
    • Search for files and folders using powerful query strings.
    • Create new Google Docs with a specified title and initial content.
    • Update the entire content of an existing Google Doc.
    • Manage your files by moving them to the bin or deleting them permanently.

Getting Started

Follow these steps to set up the server and run the example AI agent.

Prerequisites

  • Python 3.9+ and uv (or pip).
  • A Google Cloud project with the necessary APIs enabled.
  • Claude Desktop.

Step 1: Configure your Google Cloud Project

You need to authorize this application to access your Google data. This is a one-time setup.

  1. Go to the Google Cloud Console: https://console.cloud.google.com/
  2. Create a new project (or use an existing one).
  3. Enable APIs:
    • Go to "APIs & Services" -> "Library".
    • Search for and Enable the Gmail API.
    • Search for and Enable the Google Calendar API.
    • Search for and Enable the Google Drive API.
  4. Create OAuth Credentials:
    • Go to "APIs & Services" -> "Credentials".
    • Click "Create Credentials" -> "OAuth client ID".
    • If prompted, configure the "OAuth consent screen". Choose External and provide a name for the app. You can skip most other fields for personal use. Add your Google account email as a Test User.
    • For "Application type", select Desktop app.
    • Give it a name (e.g., "GSuite MCP Client").
  5. Download Credentials:
    • After creating the client ID, click the "Download JSON" icon.
    • Rename the downloaded file to client_secrets.json and place it in the root directory of this project.

Step 2: Install Dependencies

Clone this repository and install the required Python packages for both the server and the client.

git clone <your-repo-url>
cd <your-repo-name>
uv venv # Create a virtual environment
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# Install server dependencies
uv install -r requirements.txt

Step 3: Run the One-Time Authorization

Before you can run the server, you need to authorize it with your Google account. Run the get_credentials.py script from your terminal:

python get_credentials.py
  • This will open a browser window.
  • Log in with your Google account and grant the requested permissions.
  • After you approve, the script will automatically create a token.json file in the project directory. This file stores your authorization tokens so you don't have to log in every time.

Step 4: Set Up and Run the AI Agent Client

As an example, I'll show you how to configure Claude Desktop as an MCP Client. However, you can use whatever MCP Client available on Internet.

  1. Configure Claude Desktop:

    (Windows) Open C:\Users\<user>\AppData\Roaming\Claude\claude_desktop_config.json and add

    {
        "mcpServers": {
            "GsuiteMCPServer": {
                "command": "absolute-path-to-your-python-executable-in-virtual-environment",
                "args": [
                    "<mcp_server.py-abs-path>"
                ]
            }
        }
    }   
    
  2. Use the available tools: Ask Claude something like:

    • Create a Google Calendar Event based on the content of the last mail being sent to my inbox. If you cannot create an event, create a sort of 'reminder event' in order to remind me to check that email.

    • Create a Google Docs drafting a trip plan in San Francisco.

    • Check what are my availabilities next week for a two-hours call with a customer.

    • Edit the start time of the meeting with the VCs to 10 A.M.

    • Search for new e-mails in my inbox talking about AI news.

    • Send an email to my supplier telling him he's late and I need the next lot as soon as possible.

    • Much more.

Roadmap & Future Plans

This server is the foundation for a much larger vision. The goal is to provide a comprehensive MCP server for the entire Google Workspace suite. Future additions will include tools for:

  • 📝 Google Docs: More granular document manipulation, such as appending text or reading specific sections instead of overwriting the whole file.
  • 📊 Google Sheets: Read data from sheets, append new rows, update cells, and even perform calculations.
  • 📨 New functionalities for Gmail.
  • 📅 New functionalities for Google Calendar.
  • 🗂️ New functionalities for Google Drive.

Contributions are welcome!

Contributing

If you'd like to contribute, please feel free to fork the repository and submit a pull request. For major changes, please open an issue first to discuss what you would like to change.

License

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

README fetched from the repository 21 hours ago. The original is authoritative.

Questions

About giuseppe-coco/Google-Workspace-MCP-Server

How do I install giuseppe-coco/Google-Workspace-MCP-Server?

Run npx google-workspace-mcp-server, then add the server to your MCP client's configuration.

Is giuseppe-coco/Google-Workspace-MCP-Server safe to use with an AI agent?

Its trust score is 50 out of 100 (fair). It passes 3 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is giuseppe-coco/Google-Workspace-MCP-Server still maintained?

The last commit was a year ago and 2 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.