Introduction

Name: Introduction
Author: chy168

@chy168

リポジトリ

Introduction について

概要はまだありません

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

chy168

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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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