Gmail SMTP MCP Server

Gmail SMTP MCP Server

Enables sending emails via Gmail using SMTP and app passwords without OAuth. It provides a custom authorization flow and encrypted credential storage for multi-user access.

Category
访问服务器

README

Gmail SMTP MCP Server (Python)

Sends email as a teammate's Gmail account via SMTP + an App Password, instead of Google OAuth. No Google Cloud project, no client secret, no redirect_uri allowlist, no consent screen. This is a Python port of the Node.js version — same architecture, same endpoints.

How auth works

claude.ai's connector setup still expects a normal OAuth 2.1 + PKCE dance — that part of the MCP spec doesn't change. What changes is who the "identity provider" is:

  1. User adds your connector in claude.ai → claude.ai opens /authorize.
  2. Instead of "Sign in with Google", they see a form asking for their Gmail address + an App Password (requires 2-Step Verification on their Google account).
  3. The server test-sends an email to confirm the credentials work, encrypts and stores the app password, then redirects back to claude.ai with an auth code — same as a normal OAuth flow.
  4. claude.ai exchanges that code at /token for a bearer token.
  5. Every send_email_tool call carries that bearer token; the server looks up which Gmail account it maps to (via the token's subject) and sends via SMTP using only Python's standard library (smtplib).

Nothing here talks to Google's OAuth API. There's no client secret to leak or rotate.

Setup

pip install -r requirements.txt

# Generate a 32-byte encryption key for storing app passwords at rest
export MASTER_KEY=$(python3 -c "import secrets; print(secrets.token_hex(32))")
export BASE_URL=http://localhost:3000

uvicorn server:app --port 3000

Add both MASTER_KEY and BASE_URL to a .env file if you'd rather not export them each time — just make sure something loads it before uvicorn starts (e.g. python-dotenv, or your platform's env var settings).

Deploying to Render

  1. Push this repo, create a new Web Service pointing at it.
    • Build command: pip install -r requirements.txt
    • Start command: uvicorn server:app --host 0.0.0.0 --port $PORT
  2. Set env vars: MASTER_KEY (generate as above), BASE_URL (your Render URL, e.g. https://your-app.onrender.com).
  3. Important: data.json (where users/tokens live) is written to local disk. Render's free web services have ephemeral disks — a redeploy wipes it and every teammate has to reconnect. For anything beyond testing, either add a Render persistent disk mount, or swap store.py for Postgres/SQLite (the function signatures in store.py are the only thing you'd need to keep the same).
  4. In claude.ai, add a custom connector pointing at https://your-app.onrender.com/mcp.

Files

  • server.py — FastAPI app: OAuth-shaped /authorize + /token endpoints, the MCP server (built with mcp's FastMCP) mounted at /mcp with bearer-token auth enforced automatically by the SDK.
  • store.py — encrypted (AES-256-GCM) storage for app passwords, auth codes, and access tokens.
  • mailer.py — sends via smtp.gmail.com:465 using Python's built-in smtplib, no extra package needed.

A gotcha worth knowing about if you modify this

FastMCP's streamable_http_app() normally manages its own startup/shutdown (a "session manager") when run standalone. When you mount it inside another FastAPI app with app.mount("/mcp", ...), FastAPI does not automatically run the sub-app's lifespan — so streaming requests fail with RuntimeError: Task group is not initialized. The fix already in server.py is wiring mcp.session_manager.run() into the outer FastAPI app's own lifespan. If you restructure this file, keep that wiring intact.

Security notes

  • App passwords are encrypted at rest with MASTER_KEY, but they're still bearer credentials with full mail-send access — treat data.json (or your DB) like you would a password table.
  • Access tokens are long-lived (90 days) bearer tokens with no rotation. Fine for an internal team tool; add refresh tokens or shorter expiry if this ever leaves that trust boundary.
  • Anyone who can reach /authorize can register any Gmail address they control an app password for — there's no allowlist. Add one (e.g. only @caratlane.com addresses) if you want to restrict this before sharing the connector link.

推荐服务器

Baidu Map

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。

官方
精选
JavaScript
Playwright MCP Server

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。

官方
精选
TypeScript
Magic Component Platform (MCP)

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。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

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。

官方
精选
本地
TypeScript
VeyraX

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。

官方
精选
本地
graphlit-mcp-server

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。

官方
精选
TypeScript
Kagi MCP Server

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。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

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。

官方
精选