MCPHubs - Model Context Protocol Projects Hub

Name: MCPHubs - Model Context Protocol Projects Hub
Author: GiantClam

@GiantClam

代码仓库

关于 MCPHubs - Model Context Protocol Projects Hub

MCPHubs is a website that showcases projects related to Anthropic's Model Context Protocol (MCP)

#mcp #mcp-server

基本信息

分类

其他

许可证

GPL-3.0 license

运行时

node

传输方式

stdio

发布者

GiantClam

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCPHubs - Model Context Protocol Projects Hub?

MCPHubs is a website built with Next.js that showcases projects related to Anthropic's Model Context Protocol (MCP). It retrieves MCP-related projects from GitHub and uses Google Cloud Vertex AI (Gemini Pro) to analyze their content and assess relevance to the MCP ecosystem.

How to use MCPHubs - Model Context Protocol Projects Hub?

Clone the repository, run npm install, configure a .env.local file with your GITHUB_TOKEN and Google Cloud Vertex AI credentials, then start the development server with ./start-dev.sh. The site runs on http://localhost:3001 by default and can be deployed to Vercel or Netlify.

Key features of MCPHubs - Model Context Protocol Projects Hub

GitHub API integration to retrieve MCP-related projects
AI analysis using Google Gemini Pro for relevance scoring
Project list and detailed project pages with README content
Environment-aware proxy for CORS in development
Responsive design for various device sizes

Use cases of MCPHubs - Model Context Protocol Projects Hub

Discover and browse open-source projects that implement or relate to MCP
Evaluate project relevance to MCP using AI-powered analysis
View detailed project information, including stars, description, and README
Quickly find MCP-compatible tools and integrations

FAQ from MCPHubs - Model Context Protocol Projects Hub

What data does MCPHubs use and where does it come from?

MCPHubs retrieves project data from the GitHub API and analyzes it using Google Cloud Vertex AI (Gemini Pro). All analysis is performed server-side.

What are the requirements to run MCPHubs locally or deploy it?

You need a GitHub API token (optional but recommended), a Google Cloud project with Vertex AI enabled, and a service account credentials file with Vertex AI user permissions.

Does MCPHubs support production deployment?

Yes, it can be deployed to Vercel, Netlify, or any platform supporting Next.js. The proxy is automatically disabled in production, and environment variables must be set accordingly.

How is authentication and proxy configured?

In development, the app auto-enables proxies for GitHub and Vertex AI APIs to avoid CORS issues. In production, proxies are disabled and APIs are called directly.