What are the prerequisites?
Python 3.11 or higher, a Gmail account, a Google Cloud Platform project with the Gmail API enabled, and the `uv` package installer.
@ykuchiki
基本信息
MCP server for Gmail API implemented in Python. Enables AI Agents to send, receive, search emails and manage labels in Gmail.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"gmail-mcp-ykuchiki": {
"command": "uv",
"args": [
"init"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
Gmail MCP is a server implementation that enables AI assistants to interact with Gmail through the Model Context Protocol (MCP). It provides tools for sending emails, managing drafts, reading emails, searching through your inbox, and managing Gmail labels. It uses OAuth2.0 authentication with the Gmail API.
Set up a Google Cloud Platform project with the Gmail API enabled, download OAuth credentials as credentials/client_secret_gmail_oauth.json, and install Python dependencies using uv. Then configure your MCP client to point to the server with uv run main.py. On first run, you will be prompted to authenticate with your Gmail account.
Python 3.11 or higher, a Gmail account, a Google Cloud Platform project with the Gmail API enabled, and the `uv` package installer.
Create a project in Google Cloud Console, enable the Gmail API, create OAuth credentials, download the JSON file, and save it as `credentials/client_secret_gmail_oauth.json` in the project root.
The server works with any MCP‑compatible client. Specific client integration instructions should be sought from the client’s official documentation.
The server uses OAuth 2.0. On first run, it prompts the user to authenticate with their Gmail account.
All dependencies are listed in `requirements.txt` and installed via `uv pip install -r requirements.txt`. The server is invoked using `uv run main.py`.

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