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

Configure MCP Client

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

{
  "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:

   npm install

2. Set the GEMINI_API_KEY environment variable with your Google Gemini key.
3. Start the server as remote:

   npm run start:http

   or with stdio transport:

   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
• @google/genai
• zod
• dotenv

License

MIT - see LICENSE file