MCP demo (DeepSeek as Client's LLM)

Name: MCP demo (DeepSeek as Client's LLM)
Author: Bill-Cai

@Bill-Cai

リポジトリ

MCP demo (DeepSeek as Client's LLM) について

Run a MCP client & server demo with DeepSeek API

#mcp #deepseek #llm #client-server

基本情報

カテゴリ

AI とエージェント

ランタイム

python

トランスポート

stdio

公開者

Bill-Cai

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

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