MCP demo (DeepSeek as Client's LLM)

@Bill-Cai

Repository

Basic information

About MCP demo

Run a MCP client & server demo with DeepSeek API

#mcp #deepseek #llm #client-server

MCP demo config

No standard config provided

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Repository

MCP demo tools

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Overview

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

Frequently asked questions

What LLM does this demo use?

DeepSeek is used as the client’s language model.

What server does the demo include?

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

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.

Comments

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