Introduction

This project provides a Google Chat integration for MCP (Model Control Protocol) servers written by Python with FastMCP. It allows you to access and interact with Google Chat spaces and messages through MCP tools.

Structure

The project consists of two main components:

1. MCP Server with Google Chat Tools: Provides tools for interacting with Google Chat through the Model Control Protocol.

   • Written by FastMCP

   • server.py: Main MCP server implementation with Google Chat tools

   • google_chat.py: Google Chat API integration and authentication handling

2. Authentication Server: Standalone component for Google account authentication

   • Written by FastAPI

   • Handles OAuth2 flow with Google

   • Stores and manages access tokens

   • Can be run independently or as part of the MCP server

   • server_auth.py: Authentication server implementation

The authentication flow allows you to obtain and refresh Google API tokens, which are then used by the MCP tools to access Google Chat data. (Your spaces and messages)

Related MCP server: Google OAuth2 API Server

Features

• OAuth2 authentication with Google Chat API

• List available Google Chat spaces

• Retrieve messages from specific spaces with date filtering

• Local authentication server for easy setup

Requirements

• Python 3.13+

• Google Cloud project with the following APIs enabled:

  • Google Chat API

  • People API (for user display names)

• OAuth2 credentials from Google Cloud Console

How to use?

Prepare Google Oauth Login

1. Clone this project

   git clone https://github.com/chy168/google-chat-mcp-server.git cd google-chat-mcp-server

2. Prepare a Google Cloud Project (GCP)

3. Google Cloud Conolse (https://console.cloud.google.com/auth/overview?project=<YOUR_PROJECT_NAME>)

4. Google Auth Platform > Clients > (+) Create client > Web application reference: https://developers.google.com/identity/protocols/oauth2/?hl=en Authorized JavaScript origins add: http://localhost:8000 Authorized redirect URIs: http://localhost:8000/auth/callback

5. After you create a OAuth 2.0 Client, download the client secrets as .json file. Save as credentials.json at top level of project.

Authentication

There are two authentication modes available:

Option 1: CLI Mode (Recommended for headless/remote environments)

This will:

1. Display an authorization URL

2. Open the URL in any browser (can be on another device)

3. Complete Google authorization

4. Copy the redirect URL from browser and paste it back to terminal

5. Token will be saved as token.json

Option 2: Web Mode (For environments with local browser)

• Open browser at http://localhost:8000/auth

• Complete Google login

• Token will be saved as token.json

MCP Configuration (mcp.json)

Docker / Podman

Run Container

Run Auth Server in Container

Tools

The MCP server provides the following tools:

Google Chat Tools

• get_chat_spaces() - List all Google Chat spaces the bot has access to

• get_space_messages(space_name: str, start_date: str, end_date: str = None) - List messages from a specific Google Chat space with optional time filtering

Development and Debug

Build Image

Debug