gmail-mcp

gmail-mcp

MCP server for Gmail with full read/write coverage: search, send, reply, drafts, labels, filters, vacation responder, auto-forwarding, signature, and attachment handling (download and PDF export). Uses the Gmail API with the gmail.modify scope to prevent permanent deletion, and requires explicit confirmation for sensitive actions.

Category
访问服务器

README

gmail-mcp

MCP server for Gmail with full read/write coverage: search, send, reply, drafts, labels, filters, vacation responder, auto-forwarding, signature, and attachment handling (download + render to PDF).

Built because the commonly available Gmail MCP integrations are read/label-only (no sending, no attachment export, no settings management). This one closes that gap using the standard Gmail API with your own OAuth client.

Why it's safe by design

The OAuth scope used is gmail.modify, not the full https://mail.google.com/ scope. This means the Gmail API itself rejects permanent delete (messages.delete, batchDelete, threads.delete) — the only "removal" tool is trash/untrash, which is reversible.

Tools (34)

Read / search

Tool What it does
get_profile Account email and message/thread totals
list_messages Search with Gmail query syntax (query, label_ids, pagination)
get_message Parsed message: from/to/cc/subject/date/body/labels/attachments
get_thread Full thread with all messages parsed
list_attachments Real attachment metadata for a message (with attachment_id)
download_attachment Download an attachment to disk
export_message_to_pdf Render a message (HTML + inline images resolved) to PDF via WeasyPrint
export_thread_to_pdf Same, for a full thread (one message per page)

Send / reply (require confirmed=True)

Tool What it does
send_message Send a new email (text/HTML, attachments)
reply_message Reply within a thread, auto-generating In-Reply-To/References

Drafts

Tool What it does
list_drafts / get_draft List and read drafts
create_draft / update_draft / delete_draft Manage drafts
send_draft Send an existing draft (confirmed=True)

Labels

Tool What it does
list_labels / create_label / update_label Label management
delete_label Delete a label (confirmed=True)
modify_message_labels / modify_thread_labels Add/remove labels on a message or full thread

Organization (trash only, reversible)

Tool What it does
trash_message / untrash_message Move to trash / restore
batch_modify_messages Change labels on several messages at once

Settings

Tool What it does
get_vacation / update_vacation Vacation auto-responder
get_auto_forwarding / update_auto_forwarding Auto-forwarding (confirmed=True when enabling — this is a data-exfiltration vector, double check the destination address)
list_filters / create_filter / delete_filter Filters (delete_filter requires confirmed=True)
list_send_as / update_signature Send-as aliases and HTML signature (confirmed=True)

Confirmation pattern

Tools that send mail, delete something, or change externally-visible settings take confirmed: bool = False. Called without it, they return {"requires_confirmation": true, ...} with a preview of what would happen — the calling agent must show that preview to the user and only repeat the call with confirmed=True after explicit approval. confirmed=True is a technical flag, not a substitute for actually asking.

Setup

  1. Create a Google Cloud project (or reuse one) and enable the Gmail API.
  2. Create an OAuth 2.0 Client ID of type "Desktop app" and download it as client_secret.json.
  3. On the OAuth consent screen, add these scopes: gmail.modify, gmail.settings.basic, gmail.settings.sharing.
  4. If the app is in "Testing" mode, add your own Google account as a test user.
  5. Install dependencies:
    python3 -m venv .venv
    source .venv/bin/activate
    pip install -r requirements.txt
    # weasyprint also needs a system package for PDF rendering:
    #   macOS: brew install pango
    #   Debian/Ubuntu: apt install libpango-1.0-0 libpangocairo-1.0-0
    
  6. Run the OAuth flow once per account:
    CLIENT_SECRET_PATH=~/.config/gmail-mcp/client_secret.json \
    TOKEN_OUT=~/.config/gmail-mcp/token.json \
      python3 setup_auth.py
    
    This opens a browser — log in and grant access. Run it again with a different TOKEN_OUT for each additional Gmail account you want to expose as a separate MCP server instance.

MCP client configuration

{
  "mcpServers": {
    "gmail": {
      "command": "/path/to/.venv/bin/python3",
      "args": ["/path/to/gmail-mcp/server.py"],
      "env": {
        "GMAIL_TOKEN_PATH": "~/.config/gmail-mcp/token.json"
      }
    }
  }
}

To expose a second account, add another entry (e.g. gmail-work) pointing at the same server.py with a different GMAIL_TOKEN_PATH.

Env var Default Purpose
GMAIL_TOKEN_PATH ~/.config/gmail-mcp/token.json Path to the OAuth token for this account

Notes on usage (for the calling agent)

  • API quota: 6,000 units/user/minute. messages.get costs 20 units, messages.list costs 5. Filter with Gmail's query syntax instead of fetching everything and filtering client-side.
  • Use get_thread instead of N get_message calls when you need a whole conversation.
  • attachment_id is not stable across calls — always use the one from the same response you're about to call download_attachment with.
  • Prefer body_html over body_text for anything with lists, bold text or links — Gmail does not reflow plain text, so \n becomes a hard line break.
  • No automatic retry on 429 — back off manually if you hit a rate limit.

License

MIT — see LICENSE.

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