Frequently Asked Questions about MCP Weather Server

Q: What is the MCP Weather Server?

A: The MCP Weather Server is a specialized server that provides real-time weather data from the National Weather Service (NWS) API to AI Agents, adhering to the Model Context Protocol (MCP).

Q: What is the Model Context Protocol (MCP)?

A: MCP is an open protocol standardizing how applications provide context to Large Language Models (LLMs), enabling seamless integration and communication between AI models and external data sources.

Q: What kind of weather data can I access with this server?

A: You can access weather alerts for any US state using two-letter state codes, and detailed weather forecasts by latitude and longitude.

Q: How do I install the MCP Weather Server?

A: You can install it either via Smithery using the command npx -y @smithery/cli install @asifdotpy/mcp-weather-server --client claude or manually by cloning the repository and installing the dependencies using pip install -e ..

Q: What are the dependencies for the MCP Weather Server?

A: The server depends on httpx for asynchronous HTTP requests and mcp for building MCP servers.

Q: How do I run the MCP Weather Server?

A: After installing, you can run the server using the command python weather.py.

Q: How do I get weather alerts for a specific state?

A: Use the get_alerts(state: str) tool, providing the two-letter US state code (e.g., CA, NY).

Q: How do I get a weather forecast for a specific location?

A: Use the get_forecast(latitude: float, longitude: float) tool, providing the latitude and longitude of the location.

Q: Can I customize the logging?

A: Yes, you can configure the logging level with the LOG_LEVEL environment variable and output logs in JSON format by setting the ENV environment variable to “production”.

Q: How does the MCP Weather Server integrate with UBOS?

A: The MCP Weather Server integrates seamlessly with the UBOS platform, allowing you to equip AI Agents with real-time weather data, streamline AI Agent development, centralize AI Agent management, and unlock new AI-powered solutions.