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MCP Server Hub

MCP Server Hub

Local
github.com/weetimeDeveloper Tools0Updated 84w ago
Repository

About MCP Server Hub

MCP Server Hub is a platform for browsing, discovering, and integrating MCP servers to extend AI assistants. It combines a server directory with a Vue frontend and NestJS API.

Key features

  1. 01Browse and discover MCP servers
  2. 02Directory of MCP server listings
  3. 03Standardized MCP connections
  4. 04Integration support for AI tools
  5. 05Vue frontend and NestJS API

Use cases

  1. 01Find MCP servers for assistant capabilities
  2. 02Browse available MCP server listings
  3. 03Integrate server functionality into AI tools

MCP support

The platform catalogs MCP servers and supports their discovery and integration with AI tools; the README does not describe an MCP server endpoint it exposes.

#mcp-server-hub#ai-assistant#mcp-servers

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Server Hub

MCP Server Hub is a platform that extends AI assistants with thousands of capabilities through Model Context Protocol (MCP) servers. This project allows users to browse, discover, and implement MCP servers to enhance AI functionality.

Features

  • MCP Server Directory: Browse and discover thousands of MCP servers
  • Standardized Protocol: Consistent API for connecting AI models to external tools
  • Easy Integration: Simple process for developers to add functionality to AI tools
  • Open Ecosystem: Join a growing community of developers extending AI capabilities

Project Structure

  • frontend/: Vue application with Element Plus and Tailwind CSS
  • backend/: NestJS API server
  • architecture.md: Architecture overview and design decisions

Prerequisites

  • Node.js >= 16
  • pnpm >= 7
  • PostgreSQL (local or remote)

Getting Started

Installation
# Install pnpm globally if not already installed
npm install -g pnpm

# Install all dependencies
pnpm install:all
Development
# Start both frontend and backend servers
pnpm dev

# Start only the frontend
pnpm dev:frontend

# Start only the backend
pnpm dev:backend
Building for Production
# Build both frontend and backend
pnpm build

# Build only the frontend
pnpm build:frontend

# Build only the backend
pnpm build:backend

Environment Variables

Create a .env file in the root directory with the following variables:

# Backend
PORT=4000
DB_HOST=localhost
DB_PORT=5432
DB_USERNAME=postgres
DB_PASSWORD=postgres
DB_DATABASE=mcp_server_hub
JWT_SECRET=your-jwt-secret-key

# Frontend
VITE_API_URL=http://localhost:4000/api

API Documentation

Once the backend server is running, you can access the Swagger API documentation at: http://localhost:4000/api/docs

Contributing

  1. Fork the repository
  2. Create your feature branch: git checkout -b feature/amazing-feature
  3. Commit your changes: git commit -m 'Add some amazing feature'
  4. Push to the branch: git push origin feature/amazing-feature
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.