MCP DeepSeek 演示项目

What is MCP DeepSeek 演示项目?

MCP DeepSeek 演示项目 is a demo client application built on the Model Context Protocol (MCP) that integrates with the DeepSeek AI model. It demonstrates tool calling and real-time communication between a Next.js frontend and an MCP SSE server.

How to use MCP DeepSeek 演示项目?

Clone the repository, install dependencies with pnpm install, configure environment variables (e.g., DEEPSEEK_API_KEY, MCP_SERVER_URL), then run pnpm run dev from the root. Open http://localhost:3000 in your browser; the client auto-connects and shows a chat interface.

Key features of MCP DeepSeek 演示项目

• Bilingual Chinese/English UI
• Real-time chat with AI assistant
• Supports multiple mock tool calls
• SSE-based real-time communication
• Auto-reconnect mechanism
• Responsive design for mobile & desktop

Use cases of MCP DeepSeek 演示项目

• Demonstrating MCP integration with the DeepSeek API
• Prototyping a tool‑calling AI assistant for inventory or orders
• Learning how to build an MCP client and server with SSE
• Testing real‑time AI interactions in a Next.js environment

FAQ from MCP DeepSeek 演示项目

What are the prerequisites?

Node.js 16+, npm/yarn/pnpm, and a DeepSeek API key.

How do I configure the environment?

Create .env files for mcp-client (set DEEPSEEK_API_KEY, MCP_SERVER_URL, etc.) and for mcp-sse-server (set PORT, ALLOWED_ORIGINS, etc.).

What tools are available?

The server provides five mock tools: getProducts, getInventory, getOrders, purchase, and getFiles.

Are the tools backed by real data?

No, all tools return mock data for demonstration purposes only.

How does communication work?

The