Prompt Optimization Server

MCPOpen Source16.0

by HiteSit • Modeling & Simulation

A server that optimizes AI prompts using the Model Context Protocol.

Example Use Cases

1
Improve AI prompts through a structured optimization process
2
Apply rule-based best practices for prompt engineering
3
Analyze and refine prompts iteratively based on user feedback

Description

This project implements a prompt optimization server utilizing the Model Context Protocol (MCP). It performs systematic improvements through analysis, rule application, structuring, verification, and iterative refinement. By tracking optimization histories, it offers a comprehensive tool for enhancing prompt engineering practices.

Quick Actions

View on GitHub

Security

Scanned 2 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

D40/100

3/17 checks passed

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Quick Stats

Service TypeMCP

Pricing ModelUnknown

Capabilities0 Tools / 0 Prompts / 0 Resources

OwnerHiteSit

CategoryModeling & Simulation