MCP Prompt Playground

A reusable UI component to test and tweak prompts live with LLMs (e.g., via OpenAI, Ollama, or HuggingFace APIs).

Features: prompt versioning, response rating, and quick-edit history

Why this :

🧠 Purpose : A reusable, interactive component that allows users to experiment with prompts and visualize responses in real time. Great for developers, prompt engineers, or researchers refining LLM behavior.

📝 Prompt Editor Text area for users to write or paste prompts. Supports variables, syntax highlighting, and templates.

🛠️ Tech Stack Recommendation

🔷 Frontend:

Framework: React (Next.js or plain React)

Styling: TailwindCSS or ShadCN UI

Editor: react-codemirror, monaco-editor or shiki for prompt editor

Charts/Visuals: Optional (for token usage, latency graphs)

🔷 Backend (Optional):

Node.js + Express or Python FastAPI

🧩 Architecture Overview

[Prompt Playground UI]

⬇️ prompt + settings

[Your Trip Planner Agent]

⬇️ sends prompt to

[MCP Server (Alwright/DuckDuckGo)]

⬇️ response

[UI shows results + comparison]

Acknowledgements

• Program Details
• Github Repo
• Readme

Authors

• @YashSingh

Documentation

Documentation

🚀 About Me

Ping me @yash._.singh6

🔗 Links

Other Common Github Profile Sections

👩‍💻 I'm currently working on ML projects with Automatations

🧠 I'm currently learning GenAI and AI-Agent

👯‍♀️ I'm looking to collaborate on nerual networks

🤔 I'm looking for help with Problem solving

💬 Ask me about anything regarding to my field

📫 How to reach me just look up :)

⚡️ Fun fact I am super Lazy.

Installation

Install uv through

  Init uv add "mcp[cli]"

mkdir [Anyname] Server

For more Step by Step kindly go to
https://www.youtube.com/watch?v=BG4F3b5QpjM&t=1673s