MCP ExplorerExplorer

Mcp Enhance Prompt

@FelixFosteron 10 months ago
3 MIT
FreeCommunity
AI Systems
PromptPilot is an AI tool for generating and enhancing prompts for generative models.

Overview

What is Mcp Enhance Prompt

mcp-enhance-prompt is an AI-powered web application called PromptPilot, designed to assist users in generating and enhancing prompts for various generative AI models.

Use cases

Use cases include generating prompts for creative writing, enhancing marketing copy, developing educational materials, and facilitating brainstorming sessions.

How to use

To use mcp-enhance-prompt, clone the repository, install dependencies using npm, build the project, and then run the application either directly or using Docker.

Key features

Key features include quick prompt generation from simple keywords and a guided Q&A interface for detailed prompt enhancement, significantly improving the relevance and quality of AI outputs.

Where to use

mcp-enhance-prompt can be used in fields such as content creation, marketing, education, and any area requiring the generation of high-quality prompts for AI models.

Content

PromptPilot PromptPilot - AI Prompt Guide & Enhancer

PromptPilot is an AI - powered web application designed to assist users in generating and enhancing prompts for various generative AI models. It offers a quick generation feature for simple needs and a unique conversational guide (Masterful Prompt Creator) for crafting high - quality, detailed prompts. This repository contains the codebase for PromptPilot.

✨ Features

This application focuses on two core functionalities:

  1. 🚀 Quick Prompt Generation:

    • Accepts a simple keyword or short phrase from the user.
    • Leverages AI to generate one or more basic, ready - to - use prompts based on the input.
    • Ideal for users needing a fast starting point.
  2. 🧠 Guided Q&A Prompt Enhancement :

    • Provides an interactive, chat - like interface.
    • Guides the user through a series of questions using AI.
    • Helps users articulate and refine their requirements in detail.
    • Generates a comprehensive, high - quality prompt based on the guided conversation.
    • Aims to significantly improve the relevance and quality of AI outputs.

🚀 Getting Started

Prerequisites

  • Node.js and npm (or yarn) for frontend/backend (depending on your tech stack)
  • Docker and Docker Compose (optional, but recommended for easier setup)

Step 1: Clone the repository

git clone https://github.com/FelixFoster/mcp-enhance-prompt # Replace with your actual repo URL
cd mcp-enhance-prompt

Step 2: Install Dependencies

Navigate into the relevant directories and install the dependencies.

npm install

Step 4: Build the Project

npm run build

Step 5: Run the Application

You have several options to run the application:

Option 1: Run Directly

node build/index.js

Option 2: Run with Docker

docker build -t enhance-prompt-server .
docker run -i --rm enhance-prompt-server

Option 3: Run with npx

npx -y enhance-prompt-server

Step 6: Access the Application

Open your web browser and navigate to the address where your frontend application is served (e.g., http://localhost:9593/rest).

🐛 Troubleshooting

  • Backend Logs: Check the console logs of your backend process for error messages.
  • Network Issues: Ensure your backend is running on the correct port and that there are no firewall issues blocking access. If using Docker, verify port mappings.
  • Dependencies: Make sure all project dependencies were installed successfully.

🤝 Contributing

Contributions are welcome! If you’d like to contribute to PromptPilot, please follow these steps:

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature/your - feature).
  3. Make your changes.
  4. Commit your changes (git commit -am 'feat: Add new feature X').
  5. Push to the branch (git push origin feature/your - feature).
  6. Create a new Pull Request.

Please ensure your code follows the project’s coding standards and include tests where appropriate.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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