mcp-frontend

MCP.Pizza Chef: shaharia-lab

mcp-frontend is a React and TypeScript-based client application for the Model Context Protocol (MCP) Kit. It provides a modern, responsive single-page interface enabling real-time chat with large language models (LLMs) and tool-based interactions. Designed to integrate seamlessly with MCP backend servers, it facilitates enhanced LLM workflows through a user-friendly web UI.

Archived · The author made this repository read-only on GitHub.

Use This MCP client To

Engage in real-time chat with LLMs using MCP protocol Interact with MCP backend servers via a responsive web UI Leverage tool-based capabilities in LLM conversations Build custom AI-powered web applications with MCP integration Test and demo MCP Kit features in a browser environment

README

MCP (Model Context Protocol) Frontend

License: MIT

A frontend application for the Model Context Protocol (MCP) Kit that enables enhanced interactions with Large Language Models through tool-based capabilities.

This repository is part of mcp-kit and serves as the user interface layer built with modern web technologies.

🚀 Features

Single Page Application architecture
Real-time chat interface with LLMs
Tool-based interaction capabilities
Integration with MCP backend server
Modern, responsive UI built with React and TypeScript

🎥 Demo

Experience MCP Kit in action - chat with LLMs while leveraging additional capabilities provided by the MCP server:

mcp-frontend-demo.mp4

🛠️ Prerequisites

Node.js 20.x
NPM 7.x

📦 Installation

Standard Installation

Clone the repository:

mcp-frontend FAQ

What technologies is mcp-frontend built with?

It is built using React and TypeScript for a modern web experience.

How does mcp-frontend connect to MCP backend servers?

It integrates via the MCP protocol to enable real-time data exchange and tool interactions.

What prerequisites are needed to run mcp-frontend?

Node.js 20.x and NPM 7.x or higher are required to install and run the frontend.

Can mcp-frontend be customized for different MCP workflows?

Yes, its modular React architecture allows customization for various MCP-based applications.

Does mcp-frontend support multiple LLM providers?

Yes, it supports OpenAI, Anthropic Claude, and Google Gemini through MCP integration.

Is mcp-frontend suitable for production use?

It is designed as a ready-to-use frontend and can be adapted for production environments.

How does mcp-frontend handle tool-based interactions?

It provides UI components to invoke and manage MCP tools during LLM conversations.

Where can I find a demo of mcp-frontend?

A demo video is available in the GitHub repository showcasing its real-time chat and tool features.