MCP ChatBot

@muralianand12345

リポジトリ

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT license

トランスポート

stdio

作者

muralianand12345

MCP ChatBot について

Simple MCP Client-Server example

#chatbot #llm #mcp-server #mcp-client #pydantic-ai #fastmcp

MCP ChatBot 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 ChatBot 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-ChatBot?

MCP-ChatBot is a containerized chatbot application that uses the Modular Capability Protocol (MCP) to enable LLM interactions with external services. It integrates a weather service backend and a Streamlit frontend, allowing users to query weather information through natural language.

How to use MCP-ChatBot?

Clone the repository, copy .env.example to .env, add your WeatherAPI and OpenAI API keys, then run docker-compose up --build to launch. Access the Streamlit UI at http://localhost:8501 and type natural language queries about weather (e.g., "What's the weather in New York?").

Key features of MCP-ChatBot

Containerized architecture with separate server and client containers
Real-time weather data via WeatherAPI integration
Clean Streamlit user interface for chatbot interaction
Extensible design ready for additional MCP servers
Powered by OpenAI’s GPT-4o for natural language understanding

Use cases of MCP-ChatBot

Ask about current weather in any city using natural language
Check temperature or conditions for travel planning
Demonstrate MCP protocol with a working example

よくある質問

What are the runtime requirements?

Docker and Docker Compose are required. You need API keys from WeatherAPI and OpenAI.

How do I add a new MCP server?

Create a new server file in the `servers` directory, add the service to `docker-compose.yml`, and update `client.py` to include the new server in the agent configuration.

What should I do if the connection fails?

Ensure all services are up and running. The client has a retry mechanism; if it still fails, restart the application.

Where does the weather data come from?

The weather data is retrieved from the WeatherAPI service using your own API key.

Does the chatbot support any transport besides HTTP/SSE?

The README only shows HTTP/SSE transport via `MCPServerHTTP(url=...)`. No other transports are mentioned.

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