UBOS Asset Marketplace: Google Workspace MCP Server - Unleash AI Agent Productivity

In today’s rapidly evolving digital landscape, Artificial Intelligence (AI) is no longer a futuristic concept but a tangible force reshaping industries and workflows. Businesses are increasingly leveraging AI Agents to automate tasks, enhance decision-making, and unlock new levels of efficiency. However, the true potential of AI Agents lies in their ability to seamlessly integrate with existing systems and access relevant data. This is where the UBOS Asset Marketplace and the Google Workspace MCP (Model Context Protocol) Server come into play, offering a powerful solution for connecting AI Agents to the wealth of information and tools within Google Workspace.

The Challenge: Bridging the Gap Between AI and Google Workspace

Google Workspace, with its suite of applications like Calendar, Gmail, Docs, and Drive, has become the backbone of modern business communication and collaboration. These tools house vast amounts of critical data, including schedules, emails, documents, and files. However, directly accessing and utilizing this data within AI Agents can be challenging due to security concerns, API complexities, and the need for standardized communication protocols.

The Model Context Protocol (MCP) emerges as a key enabler, standardizing how applications provide context to Large Language Models (LLMs). An MCP server acts as a bridge, allowing AI models to interact with external data sources in a structured and secure manner. Google Workspace MCP Server fills this gap, providing a secure and efficient way for AI Agents to access and interact with Google Workspace services.

The Solution: Google Workspace MCP Server on UBOS

The Google Workspace MCP Server, available on the UBOS Asset Marketplace, is designed to streamline the integration of AI Agents with Google Workspace. It allows AI systems to access and interact with user data from Google Workspace applications securely and efficiently. This server is built with Streamable HTTP transport and supports key Google Workspace applications: Calendar, Gmail, Docs & Drive!

Key Features and Benefits:

• Seamless Integration with Google Workspace: The MCP Server acts as a secure bridge between AI Agents and Google Workspace applications, enabling access to critical data and tools.
• Enhanced AI Agent Capabilities: By connecting to Google Workspace, AI Agents can perform a wide range of tasks, such as scheduling meetings, summarizing emails, generating documents, and managing files.
• Improved Productivity and Efficiency: Automate tasks, streamline workflows, and empower employees to focus on more strategic initiatives.
• Streamlined Development: Simplifies the process of integrating AI Agents with Google Workspace, reducing development time and resources.
• Secure and Compliant: Uses OAuth 2.0 for secure authentication and adheres to industry best practices for data security and privacy.
• OpenAPI Compatibility with mcpo: Expose the server as an OpenAPI endpoint, facilitating integration with tools like Open WebUI.

Core Functionality:

• Calendar Integration: Allows AI Agents to list calendars and fetch events, enabling intelligent scheduling and automated reminders.
• Google Drive Integration: Provides access to search files, list folder contents, read file content, and create new files, enabling efficient document management and content generation.
• Gmail Integration: Enables AI Agents to search for messages and retrieve message content (including body), facilitating automated email processing and sentiment analysis.
• Google Docs Integration: Allows AI Agents to search for documents, read document content, list documents in folders, and create new documents, enabling automated document creation and editing.

Use Cases:

• AI-Powered Meeting Scheduling: An AI Agent can access your Google Calendar to find available time slots and schedule meetings with participants, automatically sending out invitations and reminders.
• Automated Email Summarization: An AI Agent can analyze your Gmail inbox, summarize important emails, and flag urgent messages for your attention.
• Intelligent Document Generation: An AI Agent can create drafts of documents in Google Docs based on specific prompts or data, saving you time and effort.
• Automated File Management: An AI Agent can organize files in Google Drive based on predefined rules, ensuring that your documents are properly categorized and easily accessible.
• Customer Service Automation: Integrate with Gmail to analyze customer inquiries and auto-generate responses, improving response times and customer satisfaction.

Getting Started with Google Workspace MCP Server on UBOS

Integrating the Google Workspace MCP Server into your AI Agent workflow is straightforward. The UBOS platform simplifies the deployment and configuration process, allowing you to quickly connect your AI Agents to Google Workspace.

Prerequisites:

• Python 3.12+
• uv package installer (or pip)
• Google Cloud Project with OAuth 2.0 credentials enabled for required APIs (Calendar, Drive, Gmail, Docs)

Installation:

1. Clone the repository:

   bash git clone https://github.com/your-username/google_workspace_mcp.git cd google_workspace_mcp

2. Create a virtual environment and install dependencies:

   bash uv venv source .venv/bin/activate # On Windows use .venvScriptsactivate uv pip install -e .

Configuration:

1. Create OAuth 2.0 Credentials (Desktop application type) in the Google Cloud Console.

2. Enable the Google Calendar API, Google Drive API, Gmail API, and Google Docs API for your project.

3. Download the OAuth client credentials as client_secret.json and place it in the project’s root directory.

4. Add the following redirect URI to your OAuth client configuration in the Google Cloud Console:

   http://localhost:8000/oauth2callback

5. Important: Ensure client_secret.json is added to your .gitignore file and never committed to version control.

Start the Server:

Choose one of the following methods to run the server:

HTTP Mode

bash python main.py

or using uv

uv run main.py

Runs the server with an HTTP transport layer on port 8000.

Using mcpo (Recommended for Open WebUI and other OpenAPI spec compatible clients)

Requires mcpo installed (uv pip install mcpo or pip install mcpo).

bash

Ensure config.json points to your project directory

mcpo --config config.json --port 8000

See the Integration with Open WebUI section for a config.json example.

First-time Authentication

1. Start the server using one of the methods above.
2. The first time you call a tool that requires Google API access (e.g., list_calendars, search_drive_files), the server will detect missing credentials and initiate the OAuth 2.0 flow.
3. A URL will be printed to the console (or returned in the MCP response). Open this URL in your browser.
4. Log in to your Google account and grant the requested permissions (Calendar, Drive, Gmail access).
5. After authorization, Google will redirect your browser to http://localhost:8000/oauth2callback.
6. The running MCP server will handle this callback, exchange the authorization code for tokens, and securely store the credentials for future use.

UBOS: The Full-Stack AI Agent Development Platform

UBOS is a comprehensive platform designed to streamline the development, deployment, and management of AI Agents. It provides a range of tools and features that empower businesses to build and orchestrate AI Agents, connect them with enterprise data, and create custom AI Agents using their own LLM models.

• Orchestration: Design intricate workflows for AI Agents, orchestrating how they interact with different tools and data sources.
• Data Connectivity: Seamlessly connect AI Agents to your enterprise data, enabling them to access and utilize relevant information.
• Custom AI Agent Building: Build custom AI Agents with your own LLM models, tailoring them to your specific business needs.
• Multi-Agent Systems: Create complex systems of interacting AI Agents that can collaborate to solve complex problems.

How UBOS Enhances Google Workspace MCP Server Integration

UBOS simplifies the integration of the Google Workspace MCP Server into your AI Agent ecosystem. The platform provides a centralized environment for managing and deploying the server, along with tools for monitoring its performance and ensuring its security. UBOS also offers features for orchestrating AI Agents that utilize the Google Workspace MCP Server, allowing you to create sophisticated workflows that leverage the power of both AI and Google Workspace.

Key Benefits of Using UBOS with Google Workspace MCP Server:

• Simplified Deployment and Management: UBOS streamlines the deployment and management of the Google Workspace MCP Server, reducing the burden on your IT team.
• Enhanced Security: UBOS provides a secure environment for running the Google Workspace MCP Server, protecting your data from unauthorized access.
• Improved Monitoring and Performance: UBOS offers tools for monitoring the performance of the Google Workspace MCP Server, ensuring that it is running optimally.
• Orchestration Capabilities: UBOS enables you to orchestrate AI Agents that utilize the Google Workspace MCP Server, creating sophisticated workflows that automate complex tasks.

The Future of AI and Google Workspace

The integration of AI Agents with Google Workspace is poised to revolutionize the way businesses operate. By leveraging the Google Workspace MCP Server and the UBOS platform, organizations can unlock new levels of productivity, efficiency, and innovation. As AI technology continues to evolve, the combination of AI Agents and Google Workspace will become even more powerful, enabling businesses to automate tasks, make better decisions, and achieve their strategic goals.

Conclusion

The Google Workspace MCP Server on the UBOS Asset Marketplace is a game-changer for businesses looking to integrate AI Agents with Google Workspace. It provides a secure, efficient, and easy-to-use solution for accessing and utilizing the wealth of data and tools within Google Workspace. By leveraging the UBOS platform, organizations can further streamline the deployment, management, and orchestration of AI Agents that utilize the Google Workspace MCP Server, unlocking the full potential of AI and Google Workspace.

Embrace the future of AI and Google Workspace with the UBOS Asset Marketplace and the Google Workspace MCP Server. Connect your AI Agents to Google Workspace today and unlock new levels of productivity, efficiency, and innovation.