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MCP DeepSeek 演示项目

@Ulanxx

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

Ulanxx

MCP DeepSeek 演示项目 について

deepseek 结合 mcp 场景，最小用例，包括 client and server

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概要

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

よくある質問

1

What are the prerequisites?

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

2

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.).

3

What tools are available?

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

4

Are the tools backed by real data?

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

5

How does communication work?

The

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