iflow-mcp_google-chat-mcp-server 0.1.0

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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)

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 3.8+
• Google Cloud project with Chat API enabled
• 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.

Run Auth server and get your Google access token (login google only, not MCP server yet)

python server.py -local-auth --port 8000

• Open browser at http://localhost:8000/auth
• login it!
• after loggined, you access token will be saved as token.json

MCP Configuration (mcp.json)

{
    "mcpServers": {
        "google_chat": {
            "command": "uv",
            "args": [
                "--directory",
                "<YOUR_REPO_PATH>/google-chat-mcp-server",
                "run",
                "server.py",
                "--token-path",
                "<YOUR_REPO_PATH>/google-chat-mcp-server/token.json"
            ]
        }
    }

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

fastmcp dev server.py --with-editable .