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MCP DeepSeek 演示项目

@Ulanxx

Basic information

Category

Other

License

MIT

Transports

stdio

Author

Ulanxx

About 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 config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP DeepSeek 演示项目 tools

Tool list not available yet

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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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