What are the runtime requirements?
Docker and Docker Compose are required. You need API keys from WeatherAPI and OpenAI.
@muralianand12345
基本信息
Simple MCP Client-Server example
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当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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?").
Docker and Docker Compose are required. You need API keys from WeatherAPI and OpenAI.
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.
Ensure all services are up and running. The client has a retry mechanism; if it still fails, restart the application.
The weather data is retrieved from the WeatherAPI service using your own API key.
The README only shows HTTP/SSE transport via `MCPServerHTTP(url=...)`. No other transports are mentioned.

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