Install
$ agentstack add mcp-andrea9293-mcp-gemini-prompt-enhancer ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
[](https://badge.fury.io/js/@andrea9293%2Fmcp-gemini-prompt-enhancer)
[](https://www.paypal.com/donate/?hostedbuttonid=HXATGECV8HUJN)
[](https://buymeacoffee.com/andrea.bravaccino)
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 “223653PromptEngineeringv7”, 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: 223653PromptEngineeringv7.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-servicefolder in the user's home directory. If not present, it downloads it automatically. - Exposes the
enhance_prompttool via MCP, which optimizes a textual prompt using advanced techniques and the PDF content.
Quick Start
- Install dependencies:
``powershell npm install ``
- Set the
GEMINI_API_KEYenvironment variable with your Google Gemini key. - 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_KEYenvironment variable must be set to enable integration with Google Gemini. - The reference PDF is managed automatically.
Main Dependencies
License
MIT - see [LICENSE](LICENSE) file
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: andrea9293
- Source: andrea9293/mcp-gemini-prompt-enhancer
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.