What are the runtime requirements?
Docker and Docker Compose are required. You need API keys from WeatherAPI and OpenAI.
@muralianand12345
Basic information
Simple MCP Client-Server example
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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