Enables an AI agent to manipulate a SQL database for retail car management.
This project showcases an AI agent designed to interact with and manage a retail car database using SQL. It leverages an MCP server to connect to the database and an LLM parser to interpret user requests. The agent can seamlessly add new car listings, retrieve existing car information based on user preferences, and intelligently prompt for missing details when necessary, demonstrating an end-to-end database manipulation capability.