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Prompt Gen MCP Server

@prompt-gen-mcp

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

prompt-gen-mcp

提交者

Rishab Nandi

关于 Prompt Gen MCP Server

Transform simple questions into comprehensive, context-aware prompts

#prompts#prompt-engineering#advanced-prompt-engineering#context-aware-prompting#web-research

Prompt Gen MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "prompt-gen": {
      "command": "python",
      "args": [
        "/full/path/to/prompt-gen-mcp/src/prompt_gen_mcp/server.py"
      ],
      "env": {
        "GROQ_API_KEY": "gsk_your_groq_api_key_here",
        "TAVILY_API_KEY": "tvly_your_tavily_api_key_here",
        "PROMPTGEN_API_KEY": "pg_sk_your_promptgen_api_key_here"
      }
    }
  }
}

Prompt Gen MCP Server 工具

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。

概览

What is Prompt Gen Mcp?

Prompt Gen Mcp is a local MCP server that transforms simple questions into comprehensive, context-aware prompts by combining advanced prompt engineering techniques from the PromptGen API with local code context. It is designed for developers using the Cursor IDE who want to create deeply structured prompts that leverage their actual codebase.

How to use Prompt Gen Mcp?

Install dependencies (pip install mcp sentence-transformers httpx groq), obtain API keys (PromptGen, GROQ, Tavily), configure Cursor’s MCP settings file with the server command and environment variables, then restart Cursor. Once running, press Cmd+Shift+P (Mac) or Ctrl+Shift+P (Windows/Linux) and invoke the MCP: enhance_prompt command with your question.

Key features of Prompt Gen Mcp

  • Local code context scanning (100% private, code never leaves your machine)
  • AI-powered selection of optimal prompt engineering techniques
  • Structured enhanced output with relevance scoring and code examples
  • Integration with Cursor IDE via true MCP architecture
  • Fallback support for offline operation

Use cases of Prompt Gen Mcp

  • Obtain structured optimization analysis with snippets from your own project
  • Receive comprehensive architecture comparisons grounded in your codebase
  • Get systematic debugging approaches that include relevant code context
  • Learn new concepts with examples drawn from your actual project files

常见问题

1

What dependencies does Prompt Gen Mcp require?

It requires Python packages: `mcp`, `sentence-transformers`, `httpx`, and `groq`. These are installed via pip in the server directory.

2

Which API keys are needed?

You need a PromptGen API key (starting with `pg_sk_`) from [promptgenmcp-production.up.railway.app](https://promptgenmcp-production.up.railway.app), a GROQ API key from [console.groq.com](https://console.groq.com/), and a Tavily API key from [tavily.com](https://tavily.com/). All three are set as environment variables in the Cursor configuration.

3

How does Prompt Gen Mcp differ from basic prompting?

Compared to basic prompts, Prompt Gen Mcp offers full codebase context awareness, AI-powered technique selection, local privacy (code stays on your machine), structured output, code examples from your project, and relevance scoring for included context.

4

Where does my code go? Is privacy maintained?

All code scanning happens locally on your machine. Only the question text is sent to the PromptGen API to retrieve optimal techniques. Your code never leaves your environment.

5

What transport does Prompt Gen Mcp use?

It uses standard MCP stdio transport, with Cursor managing the server lifecycle automatically. No manual background service is needed.

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