MCP Frontend
Frontend for MCP (Model Context Protocol) Kit for Go - A Complete MCP solutions for ready to use
What is MCP Frontend?
MCP Frontend is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to frontend for mcp (model context protocol) kit for go - a complete mcp solutions for ready to use
Frontend for MCP (Model Context Protocol) Kit for Go - A Complete MCP solutions for ready to use
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Frontend for MCP (Model Context Protocol) Kit for Go - A Com
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-frontendConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use MCP Frontend
MCP Frontend is a React-based single-page web application that provides a browser chat interface for the MCP Kit for Go backend. It renders real-time conversations with language models and exposes tool-based interaction capabilities powered by the shaharia-lab MCP backend API. Teams building internal AI tooling on top of Go MCP servers use it as a ready-made UI layer without needing to build their own frontend.
Prerequisites
- Node.js 18 or later and npm for local development
- A running instance of the shaharia-lab MCP backend server (mcp-kit) accessible over HTTP
- Docker if you prefer containerized deployment
- An MCP-compatible backend URL to set as VITE_MCP_BACKEND_API_ENDPOINT
Clone the repository
Clone the mcp-frontend source code from GitHub to get the full project, including the .env.example configuration template.
git clone https://github.com/shaharia-lab/mcp-frontend.git
cd mcp-frontendConfigure the backend endpoint
Copy the environment template and set the URL of your running MCP backend API. This is the only required configuration value.
cp .env.example .env
# Edit .env and set:
# VITE_MCP_BACKEND_API_ENDPOINT=http://localhost:8081Install dependencies
Install the Node.js dependencies listed in package.json using npm.
npm installStart the development server
Run the Vite development server to serve the frontend with hot module reloading. The UI will be available at http://localhost:5173 by default.
npm run devBuild and deploy for production
Build the optimized production bundle, then serve it with any static file server or use the provided Docker image for containerized deployment.
# Build static assets
npm run build
# Or run via Docker
docker run -p 3000:3000 \
-e VITE_MCP_BACKEND_API_ENDPOINT=http://your-backend:8081 \
ghcr.io/shaharia-lab/mcp-frontend:latestMCP Frontend Examples
Client configuration
Environment configuration for running the MCP Frontend against a local MCP backend. Set this in your .env file before building or running the dev server.
{
"VITE_MCP_BACKEND_API_ENDPOINT": "http://localhost:8081"
}Prompts to try
Once the frontend is running and connected to your MCP backend, use the chat interface for these interactions.
- "List all available tools on this MCP server."
- "Use the file reader tool to show me the contents of config.yaml."
- "Run the database query tool and return all users created in the last 7 days."
- "What tools are currently registered on this MCP backend?"Troubleshooting MCP Frontend
The chat interface shows a network error or cannot connect to the backend
Confirm that VITE_MCP_BACKEND_API_ENDPOINT in your .env file points to the correct host and port where your MCP backend is running, and that no CORS policy is blocking requests from the frontend origin.
Changes to .env are not picked up after editing
Vite reads environment variables at build time. After editing .env, stop the dev server and restart it with npm run dev. For production Docker builds, pass the variable using the -e flag at container startup rather than baking it into the image.
The app builds successfully but shows a blank page
Check the browser console for JavaScript errors. Ensure the backend URL does not have a trailing slash and that the backend server is actually running and responding to HTTP requests before starting the frontend.
Frequently Asked Questions about MCP Frontend
What is MCP Frontend?
MCP Frontend is a Model Context Protocol (MCP) server that frontend for mcp (model context protocol) kit for go - a complete mcp solutions for ready to use It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCP Frontend?
Follow the installation instructions on the MCP Frontend GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCP Frontend?
MCP Frontend works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCP Frontend free to use?
Yes, MCP Frontend is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
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