MCP Server Template for Cursor IDE

@netr

Repository

Basic information

About MCP Server Template for Cursor IDE

No overview available yet

#mcp-server #cursor-ide #template

MCP Server Template for Cursor IDE config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-learn": {
      "command": "docker",
      "args": [
        "compose",
        "up",
        "--build",
        "-d"
      ]
    }
  }
}

MCP Server Template for Cursor IDE tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

Comments

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