LLM Orchestration

MCP Gemini Prompt Enhancer

Optimizes prompts for LLMs using Google Gemini and advanced engineering techniques.

Status
UnmaintainedGitHub repository has been archived.
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier

What it is

MCP Gemini Prompt Enhancer is a Model Context Protocol (MCP) server designed to optimize prompts for Large Language Models (LLMs) using Google Gemini. It leverages advanced prompt engineering techniques as outlined in the document '22365_3_Prompt_Engineering_v7.pdf' by Lee Boonstra. The tool is implemented in TypeScript and is open-source under the MIT license. Despite being archived, it offers a unique approach to prompt optimization by focusing on context-aware enhancements.

Focus on context-aware prompt optimization using Google Gemini.

When it fits — and when it doesn’t

A good fit for

  • Developers seeking to optimize LLM prompts

    Provides advanced techniques for prompt engineering.

  • Projects using Google Gemini

    Specifically designed to work with Google Gemini.

Look elsewhere if

  • Teams requiring active support and updates

    The tool is archived and may not receive updates.

  • Developers looking for a large community

    The tool has limited community engagement.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited community engagement

    Only 2 stars and 2 forks on GitHub.

  2. 02

    Few contributors

    Only 3 contributors listed.

What it does well

  • Open-source under MIT license

    The GitHub repository is licensed under MIT.

  • Advanced prompt engineering techniques

    Utilizes techniques from '22365_3_Prompt_Engineering_v7.pdf'.

  • Focus on context-aware enhancements

    Described as a Model Context Protocol server.

Pricing

Free tier
Yes
Paid from
—
Model
N/A
Enterprise plan
No

Pricing last confirmed Sep 28, 2026.

Performance benchmarks

How Fast Is It?

Set up MCP Gemini Prompt Enhancer

Setup steps, common gotchas and what to check after 30 days.

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