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MCP DeepSeek 演示项目

@Ulanxx

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

Ulanxx

关于 MCP DeepSeek 演示项目

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

MCP DeepSeek 演示项目 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

MCP DeepSeek 演示项目 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 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

常见问题

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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