How do I connect the server to Cursor IDE?
Open Cursor Settings → Features, add a new MCP server, choose “sse” (for remote/Docker) or “stdio” (for local), and enter the appropriate URL or command path.
@netr
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-learn": {
"command": "docker",
"args": [
"compose",
"up",
"--build",
"-d"
]
}
}
}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。
A simple template for creating custom tools for Cursor IDE using Model Context Protocol (MCP). It allows developers to create their own repository from this template, modify the tools, and connect them to Cursor IDE.
Deploy the server to Heroku with one click, or run locally via Docker or traditional Python setup. Configure Cursor IDE by adding a new MCP server with either an SSE endpoint (Heroku or Docker) or a stdio command (local setup).
Open Cursor Settings → Features, add a new MCP server, choose “sse” (for remote/Docker) or “stdio” (for local), and enter the appropriate URL or command path.
The server supports two transports: SSE (Server-Sent Events) for remote or Docker setups, and stdio for local execution.
Set `MCP_SERVER_PORT` (default 8000), `MCP_SERVER_HOST` (default 0.0.0.0), `DEBUG` (default false), and `MCP_USER_AGENT` in a `.env` file.
The README only provides a Heroku deployment button; other platforms are not mentioned.
The server uses Python with `uv` package manager and can be installed with `uv pip install -e ".[dev]"`. Docker is an alternative deployment method.

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