mcp-gmail
Enables interaction with Gmail through the Gmail API to read unread messages, retrieve email threads, and create draft replies programmatically. Supports OAuth authentication and automated email processing through natural language.
README
mcp-gmail
A toy demo of an MCP server that can write you some nifty draft emails
https://github.com/user-attachments/assets/2dcba8aa-81c5-4098-bccd-d07a6324be7c
Requirements
- uv
- claude desktop
- a google workspace setup with desktop application access for the Gmail API (steps Setup Your Environment through Authorize Credentials For a Desktop Application) with
gmail.readonlyandgmail.composescopes
Example claude_desktop_config.json
{
"mcpServers": {
"email": {
"command": "uv",
"args": ["--directory", "/your/path/to/mcp-gmail", "run", "main.py"]
},
"preferences": {
"quickEntryShortcut": "off"
}
}
Getting started in Claude Desktop
- Clone the repo,
- Add the MCP server to your
claude_desktop_config.json(see above) - Quit and restart the application
- The MCP server should run via the
stdiotransport locally; you can check it's enabled in the 'connectors' section of the prompt (click the+icon)
What The Server Does
This repository implements a Gmail automation server using FastMCP and the Google Gmail API. The gmail.py file contains a Gmail class that handles authentication with the Gmail API and provides methods for interacting with Gmail, such as get_unread_messages to retrieve unread emails, get_thread to fetch an entire email thread, and create_draft to compose a draft reply within a specific thread. The models.py file defines Pydantic models for structuring Gmail message data, ensuring data integrity and type safety when interacting with the dynamic Gmail API responses. The main.py file sets up a FastMCP server, exposing the Gmail functionalities as callable tools: get_unread_emails, get_email_thread, and create_draft_reply. This allows external clients to interact with Gmail programmatically through a well-defined API, enabling automated email processing and drafting. The server is designed to run locally, authenticating users and performing actions on their behalf.
Notes
- I was using Claude Desktop, and my original plan was to use MCP Sampling, but Claude Desktop does not appear to support sampling; instead we just expose the tools needed to draft an email
- AuthN/AuthZ through MCP clients/servers feels somewhat complex; this just has the app deal with it when it spins up.
- The messages returned by the Gmail API are unread, but don't appear to have guaranteed ordering: the first message returned might not be the most recent message. This is likely to be undesired behaviour.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。