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FelixFoster/mcp-enhance-prompt
AI-powered prompt enhancement and generation
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- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-10-14 · last seen 2026-10-16 · seen 4× · listed by 3 sources
- Score
- score 303 · 3 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-10-14；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals
PromptPilot - AI Prompt Guide & Enhancer
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
**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
Step 2: Install Dependencies
Navigate into the relevant directories and install the dependencies.
Step 4: Build the Project
Step 5: Run the Application
You have several options to run the application:
Option 1: Run Directly
Option 2: Run with Docker
Option 3: Run with npx
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).
✨ 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
Step 2: Install Dependencies
Navigate into the relevant directories and install the dependencies.
Step 4: Build the Project
Step 5: Run the Application
You have several options to run the application:
Option 1: Run Directly
Option 2: Run with Docker
Option 3: Run with npx
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).
- Source
- awesome · https://github.com/FelixFoster/mcp-enhance-prompt
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