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A2A-MCP 官方网站

A2A-MCP 官方网站

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github.com/wjl110AI & Agents1Updated 53w ago
Repository

About A2A-MCP 官方网站

A2A-MCP 官方网站 is the public website for the A2A-MCP multi-agent collaboration protocol project. It presents the project's vision, core benefits, and use cases in a responsive site with dark mode and animated elements.

Key features

  1. 01Modern website interface
  2. 02Dark mode support
  3. 03Animated visual elements
  4. 04Responsive page layout
  5. 05SEO-oriented implementation

Use cases

  1. 01Present the A2A-MCP project
  2. 02Explain protocol benefits and use cases

MCP support

The project is the official website for A2A-MCP; the README does not describe an MCP server interface.

#mcp#a2a#mcp-server#a2a-protocol

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

A2A-MCP 官方网站

Netlify Status

这是 A2A-MCP（Agent to Agent - Multi-agent Collaboration Protocol）的官方网站项目。该网站展示了我们的技术愿景、核心优势和应用场景。

技术栈

  • Next.js 14
  • React
  • TypeScript
  • Tailwind CSS
  • Framer Motion
  • next-themes

特性

  • 🎨 现代化的UI设计
  • 🌓 支持暗黑模式
  • 🎭 流畅的动画效果
  • 📱 完全响应式设计
  • 🚀 优化的性能
  • 🔍 SEO友好

开始使用

  1. 克隆项目
git clone https://github.com/wjl110/A2A-MCP-website.git
cd A2A-MCP-website
  1. 安装依赖
npm install
  1. 运行开发服务器
npm run dev
  1. 打开浏览器访问 http://localhost:3000

项目结构

src/
├── app/
│   ├── components/     # React组件
│   ├── lib/           # 工具函数和hooks
│   ├── styles/        # 样式文件
│   └── page.tsx       # 主页面
├── public/            # 静态资源
└── types/            # TypeScript类型定义

贡献

欢迎提交 Pull Request 和 Issue！

许可证

MIT License Ashutosh's github activity graph

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.