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MCP Server Template for Cursor IDE

@netr

代码仓库

关于 MCP Server Template for Cursor IDE

暂无概览

#mcp-server#cursor-ide#template

基本信息

分类

开发工具

许可证

MIT

运行时

python

传输方式

stdio

发布者

netr

配置

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

未检测到工具

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。

概览

What is MCP Server Template for Cursor IDE?

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.

How to use MCP Server Template for 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).

Key features of MCP Server Template for Cursor IDE

  • One-click deployment to Heroku
  • Docker and Docker Compose support
  • Supports both SSE and stdio transports
  • Configurable via environment variables (port, host, debug)
  • Installable via Smithery for Claude Desktop
  • Comes with a testable server mood endpoint

Use cases of MCP Server Template for Cursor IDE

  • Creating custom MCP tools for Cursor IDE
  • Quickly prototyping and deploying server-side MCP tools
  • Integrating custom APIs or local scripts with Cursor’s agent
  • Learning how to build and connect MCP servers

FAQ from MCP Server Template for Cursor IDE

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.

What transport protocols are supported?

The server supports two transports: SSE (Server-Sent Events) for remote or Docker setups, and stdio for local execution.

What environment variables can I configure?

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.

Can I deploy this to cloud platforms besides Heroku?

The README only provides a Heroku deployment button; other platforms are not mentioned.

Does the server require any external dependencies?

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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