Question 1

What is the Google MCP Server?

Accepted Answer

The Google MCP Server is a tool available on the UBOS Asset Marketplace that allows AI clients (like Claude or Cursor) to interact with Google services such as Gmail, Calendar, Drive, and Tasks using the Model Context Protocol (MCP).

Question 2

What is MCP (Model Context Protocol)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It allows AI models to access and interact with external data sources and tools.

Question 3

What Google services can I access with the Google MCP Server?

Accepted Answer

Currently, the Google MCP Server supports Gmail, Calendar, Drive, and Tasks. Support for additional Google services like Google Contacts is planned for the future.

Question 4

What can I do with the Gmail integration?

Accepted Answer

You can send emails, list emails with custom queries, read specific emails, manage labels, and draft/delete emails.

Question 5

What can I do with the Calendar integration?

Accepted Answer

You can list calendars, create events, list upcoming events, update/delete existing events, and find free time slots for scheduling.

Question 6

What can I do with the Drive integration?

Accepted Answer

You can filter files with search queries, sort by modification date, customize display count, view detailed file metadata, read file content, create new files, update existing files, delete files, and share files with specific permissions.

Question 7

What can I do with the Tasks integration?

Accepted Answer

You can view all task lists, create new task lists, delete existing task lists, set default task list, list tasks with filters, view task details, create tasks, update task properties, mark tasks as complete, and delete tasks.

Question 8

How do I install the Google MCP Server?

Accepted Answer

The Google MCP Server is available on the UBOS Asset Marketplace. You can install it by following the instructions provided on the marketplace page.

Question 9

What are the prerequisites for using the Google MCP Server?

Accepted Answer

You need to have a Google Cloud project with the necessary APIs enabled (Gmail, Calendar, Drive, Tasks). You also need to set up either OAuth 2.0 credentials or a service account.

Question 10

How do I configure the Google MCP Server?

Accepted Answer

You need to configure the server with your Google Cloud project credentials (OAuth Client ID/Secret or Service Account Email/Private Key) in your client's configuration file (e.g., `claude_desktop_config.json`).

Question 11

Do I need to install Bun to use the Google MCP Server?

Accepted Answer

Yes, Bun is required as the Google MCP Server uses `bunx` to execute.

Question 12

How do I authenticate with the Google MCP Server?

Accepted Answer

If using OAuth, the server will open a browser for authentication the first time you run it. Follow the prompts to grant access, and tokens will be saved to the specified `GOOGLE_OAUTH_TOKEN_PATH`.

Question 13

Can I use a service account instead of OAuth?

Accepted Answer

Yes, you can use a service account by providing the `GOOGLE_CLIENT_EMAIL` and `GOOGLE_PRIVATE_KEY` in the configuration.

Question 14

How do I use the Google MCP Server with my AI client?

Accepted Answer

You need to configure your AI client to use the `google-mcp` tool and then instruct it to perform actions using the supported commands.

Question 15

Can I chain commands for more complex workflows?

Accepted Answer

Yes, you can chain commands to create complex workflows. For example, you can list unread emails, draft a reply to the latest one, and schedule a follow-up meeting.

Question 16

Where can I find more information about the Google MCP Server?

Accepted Answer

You can find more information on the UBOS Asset Marketplace page for the Google MCP Server and in the linked documentation.

Question 17

What is UBOS?

Accepted Answer

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

Question 18

How does the Google MCP Server integrate with UBOS?

Accepted Answer

The Google MCP Server can be easily deployed and configured within the UBOS platform, allowing you to integrate Google services into your AI agent workflows and leverage the platform's orchestration and data connectivity capabilities.

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