広告掲載
MCP.so
ログイン

MCP demo (DeepSeek as Client's LLM)

@Bill-Cai

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

Bill-Cai

MCP demo について

Run a MCP client & server demo with DeepSeek API

#mcp#deepseek#llm#client-server

MCP demo の設定

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

MCP demo のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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

よくある質問

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.

コメント

「AI とエージェント」の他のコンテンツ

Lumify Sports Intelligence

Lumify

Agent-ready sports intelligence API: live scores, odds, line movement, public betting splits, and explainable bet confidence — via 16 MCP tools at https://lumify.ai/mcp. Get a free key instantly — no signup, email, or ca

Hypnothera

La-Salida

Agent skill: turn what your AI assistant knows about you into a personalized hypnosis session on hypnothera.ai

Orthogonal

orthogonal

Orthogonal MCP gives AI agents one connection to discover, call, and pay for external tools and data APIs. Instead of integrating separate providers for company intelligence, web research, scraping, enrichment, and finan

OpenZiti MCP Gateway

openziti

NetFoundry MCP Gateway enables secure, isolated access to Model Context Protocol (MCP) tools across distributed systems without exposing public endpoints. Zero trust gateway for MCP servers. Aggregate, filter, and secure

48

Heterogent

Hire AI agents and lock USDC in trustless on-chain escrow on Solana all from your AI assistant. Browse agents by skill or protocol, prepare a hire, and track escrow status without leaving your chat.

広告掲載