Gmail MCP Server

Name: Gmail MCP Server
Author: Imsharad

@Imsharad

代码仓库

关于 Gmail MCP Server

A Gmail Model Context Protocol server for seamless integration with AI assistants

#gmail #mcp #server #ai-assistant

基本信息

分类

沟通协作

运行时

python

传输方式

stdio

发布者

Imsharad

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "gmail": {
      "command": "python",
      "args": [
        "-m",
        "src.server"
      ],
      "cwd": "/path/to/gmail-mcp-server"
    }
  }
}

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 Gmail MCP Server?

The Gmail MCP Server provides access to Gmail functionality through the Model Context Protocol, allowing LLMs like Claude to interact with your email. It is designed for developers and AI assistants that need to read, search, send, and reply to emails programmatically.

How to use Gmail MCP Server?

Set up a Python virtual environment, install dependencies, enable the Gmail API in Google Cloud Console, and download OAuth 2.0 credentials as credentials.json. Run the server with python -m src.server; the first launch opens a browser for authentication. Afterwards, configure Claude Desktop by adding the server to claude_desktop_config.json with the command python -m src.server and the project directory as the working directory.

Key features of Gmail MCP Server

List emails from your inbox
Search for specific emails
Read email content
Send new emails
Reply to existing emails

Use cases of Gmail MCP Server

An AI assistant reads and summarizes unread emails on demand
A Claude‑powered tool searches for important messages by keyword
Automated reply workflows triggered by LLM prompts
Drafting and sending emails without leaving the chat interface

FAQ from Gmail MCP Server

What is the Gmail MCP Server?

It is an MCP server that gives LLMs like Claude the ability to interact with Gmail – listing, searching, reading, sending, and replying to emails.

How do I set up authentication?

Create a Google Cloud project, enable the Gmail API, and generate OAuth 2.0 credentials (desktop application type). Download the credentials as credentials.json into the project root. On first run, the server opens a browser for authorization and saves the tokens to token.json.

What security considerations are there?

Keep your credentials.json and token.json files secure and never commit them to version control. If you suspect compromise, revoke the credentials in the Google Cloud Console and generate new ones.

What are the Gmail API rate limits?

The Gmail API allows up to 1,000,000,000 quota units per day, with each API method consuming different amounts. For details, refer to Google’s Gmail API Quotas documentation.