Introduction

Name: Introduction
Author: chy168

@chy168

代码仓库

关于 Introduction

暂无概览

基本信息

分类

AI 与智能体

许可证

MIT

运行时

python

传输方式

stdio

发布者

chy168

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "google-chat-mcp-server": {
      "command": "uv",
      "args": [
        "run",
        "python",
        "server.py",
        "--auth",
        "cli"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Introduction?

Introduction is a Google Chat integration for MCP (Model Control Protocol) servers, written in Python with FastMCP. It provides tools to access and interact with Google Chat spaces and messages, and includes a separate authentication server for OAuth2 login. It is intended for developers who want to connect AI assistants or other MCP clients to Google Chat.

How to use Introduction?

Clone the repository, set up a Google Cloud project with the Chat and People APIs enabled, and download OAuth2 credentials as credentials.json. Then choose an authentication mode: run uv run python server.py --auth cli for headless environments (paste a redirect URL), or uv run python server.py --auth web --port 8000 for environments with a local browser. After obtaining a token, configure your MCP client with a uv command pointing to server.py and the token path, or use the provided Docker/Podman container.

Key features of Introduction

OAuth2 authentication with Google Chat API
List available Google Chat spaces
Retrieve messages from spaces with date filtering
Local authentication server for easy setup
Works in headless/remote environments via CLI mode

Use cases of Introduction

Connect an AI assistant to monitor Google Chat spaces
Automatically fetch and analyze chat history from specific spaces
Integrate MCP‑based tools with Google Chat for workflow automation

FAQ from Introduction

What are the runtime requirements?

Python 3.13+ and a Google Cloud project with the Google Chat API and People API (for user display names) enabled.

How does authentication work?

Two modes are available: CLI mode (recommended for headless environments) displays an authorization URL that you open in any browser, then you paste the redirect URL back into the terminal. Web mode runs a local web server on port 8000 and opens the authorization page in the local browser. Both modes save a token.json file.

What tools does the server provide?

get_chat_spaces() lists all accessible spaces, and get_space_messages(space_name, start_date, end_date) retrieves messages from a specific space with optional date filtering.

Can I run Introduction in a container?

Yes. Docker and Podman images are available. Mount your project directory (containing token.json) to /data and pass --token-path=/data/token.json. For the auth server in web mode, also map port 8000.

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