This project builds a custom Model Context Protocol (MCP) server for the RAGmonsters PostgreSQL dataset, addressing the limitations of generic SQL access for Large Language Models (LLMs). Instead of exposing raw SQL, it offers a high-level, domain-specific API powered by FastMCP, abstracting database complexity, optimizing queries, and embedding business rules. This approach enhances security, improves performance, and reduces the LLM's cognitive load when interacting with complex, interconnected data like the RAGmonsters dataset, providing both an interactive explorer and a natural language chat interface.
주요 기능
01Optimized database queries and embedded business logic layer
02Seamless LangChain.js integration for LLM interactions with custom tools
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04Custom MCP server with domain-specific API for RAGmonsters data
05Configured for easy deployment on cloud platforms like Clever Cloud
06Interactive web interfaces (Explorer and Chat) for data exploration and natural language queries
