Frequently Asked Questions about the Car Price MCP Server

Q: What is an MCP Server?

A: An MCP (Model Context Protocol) server standardizes how applications provide context to LLMs (Large Language Models), acting as a bridge between AI models and external data sources or tools.

Q: What is the FIPE API?

A: The FIPE API provides official Brazilian vehicle pricing data from Fundação Instituto de Pesquisas Econômicas. It is a reliable source for real-time market prices.

Q: What type of vehicle data does the Car Price MCP Server provide?

A: The server provides comprehensive vehicle information, including brand and model names, production years, fuel types, current market prices, and FIPE reference codes for cars, motorcycles, and trucks.

Q: How do I install the Car Price MCP Server?

A: You can install the server by running pip install -r requirements.txt to install the dependencies, and then python server.py to start the server.

Q: What are the main tools available in the Car Price MCP Server?

A: The server provides three main tools: get_car_brands(), search_car_price(brand_name: str), and get_vehicles_by_type(vehicle_type: str).

Q: Can I integrate the Car Price MCP Server with UBOS?

A: Yes, the Car Price MCP Server integrates seamlessly with the UBOS platform, allowing you to build AI Agents that leverage real-time vehicle pricing data.

Q: What are some use cases for the Car Price MCP Server?

A: Use cases include inventory management, pricing strategy, financial analysis, risk assessment, and market research for automotive dealerships, insurance companies, financial institutions, and market research firms.

Q: Is the pricing data real-time?

A: Yes, the server provides access to real-time pricing data directly from the FIPE API.

Q: What vehicle types are supported by get_vehicles_by_type()?

A: The get_vehicles_by_type() tool supports three vehicle types: “carros”/“cars”, “motos”/“motorcycles”, and “caminhoes”/“trucks”.

Q: Where can I find more information about the FIPE API?

A: You can find more information about the FIPE API at https://deividfortuna.github.io/fipe/.