MCP Prompt Playground
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
Authors
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