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MCP demo (DeepSeek as Client's LLM)

@Bill-Cai

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

Bill-Cai

关于 MCP demo

Run a MCP client & server demo with DeepSeek API

#mcp#deepseek#llm#client-server

MCP demo 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 demo 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 demo (DeepSeek as Client's LLM)?

A demo project that uses DeepSeek as the language model for an MCP (Model Context Protocol) client. It runs a weather server (weather.py) and a client that interacts through DeepSeek.

How to use MCP demo (DeepSeek as Client's LLM)?

Add a .env file with your DeepSeek API key, then install dependencies and run python client.py weather.py.

Key features of MCP demo (DeepSeek as Client's LLM)

  • Integrates DeepSeek as the client’s LLM
  • Demonstrates MCP client–server communication
  • Includes a weather server example
  • Minimal setup with .env and pip install

Use cases of MCP demo (DeepSeek as Client's LLM)

  • Learning how to build an MCP client with a non‑OpenAI LLM
  • Testing DeepSeek’s capabilities as an MCP client LLM
  • Prototyping a weather‑querying agent using MCP

常见问题

1

What LLM does this demo use?

DeepSeek is used as the client’s language model.

2

What server does the demo include?

It runs a server defined in `weather.py`.

3

Where can I find more information?

The README references the MCP quickstart‑resources repository and a CSDN article on building a weather agent with DeepSeek‑V3.

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