Frequently Asked Questions (FAQ) about Weather MCP Server

Q: What is MCP (Model Context Protocol)? A: MCP is an open protocol that standardizes how applications provide context to LLMs, ensuring consistent data exchange between AI models and external sources.

Q: What is the Weather MCP Server? A: The Weather MCP Server is a FastAPI application that provides real-time weather data to AI Agents via the Model Context Protocol (MCP).

Q: What kind of weather data does the server provide? A: The server provides real-time weather information, including temperature, humidity, wind speed, wind direction, pressure, and weather description.

Q: How do I install the Weather MCP Server? A: You can install the server by cloning the repository, installing the dependencies using pip install -r requirements.txt, and then running the server using python main.py.

Q: What are the main API endpoints? A: The main API endpoints are /, /health, /mcp, /weather/{city}, and /weather.

Q: Can I use the server without using MCP? A: Yes, you can use the server via direct API calls to the /weather/{city} or /weather endpoints.

Q: What is UBOS and how does it relate to the Weather MCP Server? A: UBOS is a full-stack AI Agent Development Platform. The Weather MCP Server can be integrated with UBOS to enhance AI agent orchestration, data connectivity, customization, and multi-agent system development.

Q: What is FastAPI? A: FastAPI is a modern, high-performance web framework for building APIs with Python. It is used to create the Weather MCP Server.

Q: What happens if the server cannot retrieve weather data for a specific city? A: The server will return an error response with a descriptive error message and a status of error.

Q: How can I run the server in development mode? A: You can run the server in development mode using the command: uvicorn main:app --reload --host 0.0.0.0 --port 8000.