Question 1

What is the Google Workspace MCP Server?

Accepted Answer

The Google Workspace MCP Server integrates Google Workspace services (Calendar, Drive, Gmail, and Docs) with AI assistants and other applications using the Model Context Protocol (MCP). This allows AI systems to access and interact with user data from Google Workspace applications securely and efficiently.

Question 2

What is MCP?

Accepted Answer

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. It enables AI models to interact with external data sources in a structured and secure manner.

Question 3

What Google Workspace services are supported?

Accepted Answer

The server supports Google Calendar, Google Drive, Gmail, and Google Docs.

Question 4

What is OAuth 2.0 Authentication?

Accepted Answer

OAuth 2.0 is a secure authentication method used to connect to Google APIs using user-authorized credentials with automatic token refresh.

Question 5

How do I install the Google Workspace MCP Server?

Accepted Answer

You can install the server by cloning the repository, creating a virtual environment, and installing dependencies using `uv` or `pip`.

Question 6

What are the prerequisites for installation?

Accepted Answer

You need Python 3.12+, the `uv` package installer (or pip), and a Google Cloud Project with OAuth 2.0 credentials enabled for the required APIs.

Question 7

How do I configure the server?

Accepted Answer

You need to create OAuth 2.0 Credentials in the Google Cloud Console, enable the Google Calendar API, Google Drive API, Gmail API, and Google Docs API for your project, and download the OAuth client credentials as `client_secret.json`.

Question 8

How do I start the server?

Accepted Answer

You can start the server in HTTP mode or using `mcpo`. HTTP mode runs the server with an HTTP transport layer on port 8000, while `mcpo` exposes the server as an OpenAPI endpoint.

Question 9

What is mcpo?

Accepted Answer

`mcpo` is a tool that allows you to expose the server as an OpenAPI endpoint for integration with tools like Open WebUI.

Question 10

How do I connect to the server?

Accepted Answer

You can connect to the server using `mcpo` for OpenAPI Spec Access or in HTTP mode by sending MCP JSON requests directly to `http://localhost:8000`.

Question 11

How do I integrate with Open WebUI?

Accepted Answer

Create a `config.json` file with the necessary configuration and start the `mcpo` server, then configure Open WebUI to use the server's URL.

Question 12

What is first-time authentication?

Accepted Answer

The first time you call a tool that requires Google API access, the server will initiate the OAuth 2.0 flow, requiring you to log in to your Google account and grant the requested permissions.

Question 13

What tools are available?

Accepted Answer

The available tools include `list_calendars`, `get_events` for Calendar, `search_drive_files`, `get_drive_file_content`, `list_drive_items`, `create_drive_file` for Google Drive, `search_gmail_messages`, `get_gmail_message_content` for Gmail, and `search_docs`, `get_doc_content`, `list_docs_in_folder`, `create_doc` for Google Docs.

Question 14

How do I add new tools?

Accepted Answer

Choose or create the appropriate module, import necessary libraries, define an `async` function for your tool logic, decorate the function with `@server.tool("your_tool_name")`, and implement the logic to call the Google API.

Question 15

What are the security notes?

Accepted Answer

Ensure that `client_secret.json` is not committed to version control, protect user tokens, use HTTPS for the OAuth callback URI in production, and consider using the `--api-key` option for `mcpo`.

Question 16

What is UBOS?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform that helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

Question 17

How does UBOS enhance Google Workspace MCP Server integration?

Accepted Answer

UBOS simplifies the deployment and management of the Google Workspace MCP Server, provides a secure environment for running the server, offers tools for monitoring its performance, and enables you to orchestrate AI Agents that utilize the server.

Question 18

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

Accepted Answer

Simplified deployment and management, enhanced security, improved monitoring and performance, and orchestration capabilities.

Google Workspace MCP Server

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