MCPHubs - Model Context Protocol Projects Hub

MCPHubs - Model Context Protocol Projects Hub

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

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MCPHubs - Model Context Protocol Projects Hub

MCPHubs 是一个展示与 Anthropic 的 Model Context Protocol (MCP) 相关项目的网站。该网站使用 Next.js 构建,提供了以下功能:

  • 从 GitHub 检索与 MCP 相关的项目
  • 使用 AI 分析项目内容,评估与 MCP 的相关性
  • 展示项目列表和详细信息
  • 提供项目的 README 内容和相关分析

技术栈

  • Next.js 15
  • TypeScript
  • Tailwind CSS
  • React Icons
  • Axios (用于 API 请求)
  • Google Cloud Vertex AI (Gemini Pro 模型,用于 AI 分析)
  • React Markdown (用于渲染 README)

特性

  • 环境自适应代理:在开发环境自动使用代理解决 CORS 问题,生产环境直接调用 API
  • GitHub API 集成:检索与 MCP 相关的项目
  • AI 分析:使用 Google Gemini Pro 评估项目与 MCP 的相关性
  • 响应式设计:适配各种设备尺寸

本地开发

  1. 克隆仓库
git clone https://github.com/yourusername/mcphubs.git
cd mcphubs
  1. 安装依赖
npm install
  1. 配置环境变量

创建 .env.local 文件并添加以下内容:

# GitHub API Token (可选,但推荐使用以避免 API 速率限制)
GITHUB_TOKEN=your_github_token_here

# Google Cloud Vertex AI 配置
GOOGLE_CLOUD_PROJECT=your-project-id
GOOGLE_CLOUD_LOCATION=us-central1
GOOGLE_APPLICATION_CREDENTIALS=./google-credentials.json
VERTEX_LOCATION=us-central1
  1. 配置 Google Cloud 服务账号

将您的 Google Cloud 服务账号凭据文件(JSON 格式)放在项目根目录下,文件名与 GOOGLE_APPLICATION_CREDENTIALS 环境变量中指定的名称一致。

如果您还没有服务账号,可以按照以下步骤创建:

  • 前往 Google Cloud Console
  • 选择您的项目
  • 导航到 "IAM & Admin" > "Service Accounts"
  • 创建新的服务账号,并授予必要的权限(Vertex AI 使用者)
  • 创建并下载 JSON 密钥文件
  • 将文件放在项目根目录下
  1. 启动开发服务器
./start-dev.sh
  1. 在浏览器中访问 http://localhost:3001 (或控制台显示的其他端口)

代理配置说明

该项目具有环境自适应的代理配置:

  • 开发环境:自动启用 API 代理,解决本地开发时的 CORS 问题

    • GitHub API: /api/github/*https://api.github.com/*
    • Vertex AI: /api/vertex/*https://us-central1-aiplatform.googleapis.com/v1/*
  • 生产环境:自动禁用代理,直接调用外部 API

这种配置无需手动切换,系统会根据 NODE_ENV 环境变量自动决定是否使用代理。

部署

该项目可以部署到 Vercel、Netlify 或其他支持 Next.js 的平台。

部署时,请确保设置以下环境变量:

  • GITHUB_TOKEN
  • GOOGLE_CLOUD_PROJECT
  • GOOGLE_CLOUD_LOCATION
  • GOOGLE_APPLICATION_CREDENTIALS
  • VERTEX_LOCATION

对于云平台部署,您可能需要将 Google Cloud 凭据作为环境变量直接设置,而不是使用文件。

功能

  • 首页:展示 MCP 相关项目的列表
  • 项目详情页:展示单个项目的详细信息,包括:
    • 项目基本信息(名称、描述、星数等)
    • AI 分析的 MCP 相关性评分 (使用 Google Gemini Pro 模型)
    • 项目的关键特性和用例
    • 项目的 README 内容

许可证

MIT

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