Streamlit 기반 놀이터 ** 큰 언어 모델과 원활한 플러그로 채팅 할 수 있습니다 ** Multi-Server Command Protocol (MCP) 도구. 여러 FastMCP 서버 (Weather & Currency)를 Streamlit 클라이언트와 함께 회전, Docker Compose와 모든 오케스트라. 클라이언트는 provider-agnostic (OpenAI • Amazon Bedrock • Anthropic • Google Gemini • Groq) LangChain + LangGraph 덕분에. lightning-fast 의존성 임명을 위한 uv로 건축하는.

더 알아보기

모든 작품에 대한 깊은 다이빙을 원하십니까? 이 중간 기사에서 상세한 연습을 확인하십시오 : https://medium.com/@elkhan.alizada/your-own-ai-agent-playground-build-it-with-streamlit-langgraph-and-docker-4caeb6fe0ac4] [T0]] [T0]] [T0]] [T0]] [T0]] [T0]] [T0]] [T0] [T0] [T0]] [T0] [T0] [T0]] [T0]] [T0] [T0] [T0] [T0] [T0]] [T0] [T0]] [T0] [T0] [T0]] [T0]] [T0] [T0] [T0]] https://medium.com/@elkhan.alizada/your-own-ai-agent-playground-build-it-with-streamlit-langgraph-and-docker-4caeb6fe0ac4] https://medium.com/@elkhan.alizada/your-own-ai-agent-playground-build-it-with-streamlit-langgraph-and-docker-4caeb6fe0ac4]]] https://medium.com/@elkhan.alizada/your-own-ai-agent-playground-build-it-with-streamlit-langgraph-and-docker-4caeb6fe0ac4]]]]]] [[https://medium.com/@elkhan.alizada/your-own-ai-agent-playground-build-it-with-streamlit-langgraph-and-docker-4caeb6fe0ac4]]]]]]] [[[[[[https://medium.com/@elkhan.alizada/your-own-ai-agent-playground-build-it-with-streamlit-langgraph-and-docker-4caeb6fe0ac4]]]]]]]]]]]]]] [[[[[[[https://medium.com/@elkhan.alizada/your-own-ai-agent-playground-build-it-with-streamlit-langgraph-and-docker-4caeb6fe0ac4]]]]]]]]]]]]]]]]]] [[[[[[[[[[[[[[[[[[[[[[

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̇️ 메인 인터페이스 - Connected View

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️ 건축

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✨ 주요 특징

MCP Playground 🛠️🌩️

A Streamlit-based playground that lets you chat with large language models and seamlessly plug in external Multi-Server Command Protocol (MCP) tools. Spin up multiple FastMCP servers (Weather & Currency) alongside a Streamlit client, all orchestrated with Docker Compose. The client is provider-agnostic (OpenAI • Amazon Bedrock • Anthropic • Google Gemini • Groq) thanks to LangChain + LangGraph. Built with uv for lightning-fast dependency installation.

📖 Learn More

Want a deep dive into how it all works? Check out the detailed walkthrough in this Medium article: https://medium.com/@elkhan.alizada/your-own-ai-agent-playground-build-it-with-streamlit-langgraph-and-docker-4caeb6fe0ac4

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🖥️🔌 Main Interface – Connected View

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🏗️ Architecture

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✨ Key Features

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📂 Project Layout

mcp-playground/
├─ docker-compose.yaml          # One-command orchestration
├─ client/                      # Streamlit UI
│  ├─ app.py                    # Main entry-point
│  ├─ config.py                 # Typed settings & defaults
│  ├─ servers_config.json       # MCP endpoint catalogue
│  ├─ ui_components/            # Streamlit widgets
│  └─ ...
└─ servers/
   ├─ server1/                  # Weather Service MCP
   │  └─ main.py
   └─ server2/                  # Currency Exchange MCP
      └─ main.py

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🚀 Quick Start

1 · Prerequisites

• Docker ≥ 24 & Docker Compose
• At least one LLM provider key (e.g. OPENAI_API_KEY) or AWS creds for Bedrock.

2 · Clone & Run

git clone https://github.com/your-org/mcp-playground.git
cd mcp-playground
docker compose up --build