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.

What can I do with the Google Workspace MCP Server?

The Google Workspace MCP Server lets you manage Gmail and Calendar APIs programmatically. You can list emails, search emails, send emails, modify email labels, list calendar events, create events, update events, and delete events.

What are the prerequisites for using the Google Workspace MCP Server?

You need Node.js (version 14 or higher) and a Google Cloud Console setup with Gmail API and Google Calendar API enabled. You also need to set up OAuth 2.0 credentials.

How do I install the Google Workspace MCP Server?

You can install it via Smithery using the command npx -y @smithery/cli install @rishipradeep-think41/gsuite-mcp --client claude or manually by cloning the repository, installing dependencies, and configuring OAuth credentials.

What permissions are required for the Google Workspace MCP Server?

The server requires permissions to access Gmail (modify, send) and Calendar.

How do I configure the MCP settings?

You need to add the server configuration to your MCP settings file, such as ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json for VSCode Claude extension or ~/Library/Application Support/Claude/claude_desktop_config.json for Claude desktop app.

What kind of issues can occur with Authentication and how to solve it?

If you face authentication issues, ensure all required OAuth scopes are granted, verify the client ID and secret are correct, and check if the refresh token is valid.

What kind of API errors can occur and how to solve it?

For API errors, check the Google Cloud Console for API quotas and limits, ensure the APIs are enabled for your project, and verify request parameters match the required format.

How does UBOS enhance the use of the Google Workspace MCP Server?

UBOS provides a full-stack AI Agent Development Platform, allowing you to orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents, and create Multi-Agent Systems, making the Google Workspace MCP Server more effective and integrated within your business processes.