What is an MCP Server?

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to Large Language Models (LLMs).

What is the Google Workspace MCP Server?

The Google Workspace MCP Server is a specialized server that facilitates communication between AI models and Google’s Gmail and Calendar APIs. It allows AI agents to programmatically manage emails and calendar events.

What are the key features of the Gmail Tools?

The Gmail Tools include list_emails for listing recent emails, search_emails for advanced email searching, send_email for sending new emails, and modify_email for modifying email labels.

What are the key features of the Calendar Tools?

The Calendar Tools include list_events for listing upcoming events, create_event for creating new events, update_event for updating existing events, and delete_event for deleting events.

What permissions are required for the Google Workspace MCP Server?

The server requires permissions to access and modify Gmail and Calendar data, including https://www.googleapis.com/auth/gmail.modify, https://www.googleapis.com/auth/calendar, and https://www.googleapis.com/auth/gmail.send.

How do I install the Google Workspace MCP Server?

You can install it manually by cloning the repository, configuring OAuth credentials, and building the server, or use Smithery to install directly. The UBOS Asset Marketplace simplifies this process with pre-configured instances.

What is UBOS?

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents with your LLM model and Multi-Agent Systems.

How does the UBOS platform simplify installation?

The UBOS platform provides pre-configured instances of the Google Workspace MCP Server, simplifying deployment with just a few clicks and handling underlying infrastructure and dependencies.

What are the benefits of using UBOS with the Google Workspace MCP Server?

UBOS provides seamless integration, scalability, reliability, enhanced security, and centralized management, accelerating AI agent development and deployment.

What are some common troubleshooting issues?

Common issues include authentication problems (incorrect credentials, invalid refresh token) and API errors (quota limits, disabled APIs). Check Google Cloud Console for details and ensure all required OAuth scopes are granted.