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Server Agent

Enables an AI agent to manipulate a SQL database for retail car management.

关于

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.

主要功能

  • SQL database manipulation via an AI agent
  • LLM-powered query parsing and execution
  • Automatic formatting of SQL results for LLM comprehension
  • Intelligent prompting for missing information during data entry
  • MCP server for database connectivity and tool exposure
  • 0 GitHub stars

使用案例

  • Searching and listing cars from a retail database
  • Adding new car advertisements to the database
  • Guiding users to provide complete information for new listings
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