MCP demo (DeepSeek as Client's LLM)

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

FAQ from MCP demo (DeepSeek as Client's LLM)

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.