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Gmail MCP Server

@gkdivya

基本情報

カテゴリ

コミュニケーション

トランスポート

stdio

作者

gkdivya

Gmail MCP Server について

概要はまだありません

Gmail MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Gmail MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 Gmail MCP Server?

Gmail MCP Server is a FastMCP-based integration that exposes Gmail operations as tools for AI assistants. It uses Google OAuth 2.0 and the Gmail API to send, read, manage, and trash emails. The project also includes a smart client that leverages Google’s Generative AI (Gemini) to interpret natural language requests.

How to use Gmail MCP Server?

Install dependencies from requirements.txt, place Gmail API OAuth credentials as credentials.json, and set the Gemini API key in a .env file. Start the server with python gmail_server.py --creds credentials.json --token token.json. Then run the smart client with python test_gmail_server.py to interact using natural language commands.

Key features of Gmail MCP Server

  • Exposes tools: send_email, get_unread_emails, read_email, trash_email, open_email, mark_email_as_read
  • Includes prompts for email drafting and management
  • LLM‑powered client understands plain‑English requests
  • Handles OAuth authentication and automatic token refresh
  • Parses MIME messages and decodes email headers
  • Comprehensive logging and error handling

Use cases of Gmail MCP Server

  • Send an email to a recipient about a specific topic
  • Check and read unread messages
  • Open the latest email in the browser
  • Move an email from a sender to trash
  • Mark all unread emails as read

よくある質問

1

What are the prerequisites for using Gmail MCP Server?

Python 3.6+, Gmail API credentials from Google Cloud Console, a Gemini API key from Google AI Studio, and the packages listed in `requirements.txt`.

2

How does authentication work?

The server uses OAuth 2.0. On first run, it opens a browser for you to log in to Google and grant permissions, then saves a `token.json` file for subsequent requests.

3

Where are authentication and configuration files stored?

`credentials.json` (OAuth client ID), `token.json` (generated token), and `.env` (Gemini API key) reside in the project root. The `.gitignore` prevents accidental commits of these sensitive files.

4

How can I add new Gmail operations?

Add the tool implementation in `gmail_server.py`. The smart client automatically discovers and exposes new tools, and the LLM learns to handle requests from the tool descriptions.

5

Does Gmail MCP Server include a natural language interface?

Yes. The `test_gmail_server.py` client uses Gemini to interpret plain‑English requests (e.g., “Send an email to Alice”) and converts them into the appropriate tool calls, asking for missing information when needed.

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