@andrea9293/mcp-gemini-prompt-enhancer/README.md

A Model Context Protocol (MCP) server that provides a prompt optimization service for Large Language Models (LLMs) using Google Gemini, with advanced prompt engineering thanks to 22365_3_Prompt_Engineering_v7.pdf authored by Lee Boonstra

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# MCP Gemini Prompt Enhancer

A Model Context Protocol (MCP) server that provides a prompt optimization service for Large Language Models (LLMs) using Google Gemini, with advanced prompt engineering support and automatic PDF asset management.

## Reference PDF
The service uses as its main asset the PDF “22365_3_Prompt_Engineering_v7”, a comprehensive guide on prompt engineering for Large Language Models (LLMs), authored by Lee Boonstra. The document (68 pages) covers techniques and best practices for crafting effective prompts, including zero-shot, one-shot, few-shot prompting, and configuration strategies to optimize interactions with models. It is designed to help developers and data scientists achieve better results with LLMs.

Direct download link: [22365_3_Prompt_Engineering_v7.pdf](https://www.innopreneur.io/wp-content/uploads/2025/04/22365_3_Prompt-Engineering_v7-1.pdf)


## Configure MCP Client
Add to your MCP client configuration (e.g., Claude Desktop):

```json
{
  "servers": {
    "mcp-gemini-prompt-enhancer": {
      "command": "npx",
      "args": [
        "-y",
        "@andrea9293/mcp-gemini-prompt-enhancer"
      ],
      "env": {
        "GEMINI_API_KEY": "YOUR_GEMINI_API_KEY"
      },
      "type": "stdio"
    }
  }
}
```

## Main Features
- API to enhance textual prompts using prompt engineering techniques
- Automatic download and management of reference PDF asset
- Cross-platform compatibility (Windows, macOS, Linux)
- FastMCP server with stdio and SSE transports (sse only for development)

## Project Structure
```
├── src/
│   ├── core/
│   │   ├── services/
│   │   │   ├── prompt-enhancer-service.ts
│   │   │   ├── utils-service.ts
│   │   └── tools.ts
│   ├── server/
│   │   ├── http-server.ts
│   │   └── server.ts
│   └── index.ts
├── package.json
├── tsconfig.json
```

## How it works
- On startup, the server checks for the reference PDF in the `.mcp-enhancer-service` folder in the user's home directory. If not present, it downloads it automatically.
- Exposes the `enhance_prompt` tool via MCP, which optimizes a textual prompt using advanced techniques and the PDF content.

## Quick Start
1. Install dependencies:
   ```powershell
   npm install
   ```
2. Set the `GEMINI_API_KEY` environment variable with your Google Gemini key.
3. Start the server as remote:
   ```powershell
   npm run start:http
   ```
   or with stdio transport:
   ```powershell
   npm run start
   ```

## Available API/tools
- `enhance_prompt`: optimizes a textual prompt

## Configuration
- The `GEMINI_API_KEY` environment variable must be set to enable integration with Google Gemini.
- The reference PDF is managed automatically.

## Main Dependencies
- [fastmcp](https://www.npmjs.com/package/fastmcp)
- [@google/genai](https://www.npmjs.com/package/@google/genai)
- [zod](https://www.npmjs.com/package/zod)
- [dotenv](https://www.npmjs.com/package/dotenv)

## License

MIT - see [LICENSE](LICENSE) file