AI BriefingBuilding a Domain-Specific NL-to-SQL MCP Server
Key point
To overcome the limitations of general-purpose LLMs, a domain-specific NL-to-SQL MCP server with domain knowledge and security was built.
Details
The core challenge in enterprise data analysis is converting business questions into executable SQL. However, directly connecting general-purpose LLMs to databases has clear limitations in enterprise environments.
General-purpose models fail to understand the Semantics of data, leading to incorrect table selection, and fail to reflect a company's unique business logic. There were also enterprise-environment risk factors, such as attempts to delete tables or violations of security policies.
To solve this, we designed a domain-specific NL-to-SQL MCP server that understands data, business context, and guardrails. This server acts as a bridge between natural language and enterprise data.
The system is composed of a 7-step workflow and a 4-layer architecture. This provides a structure that generates every query consistently and safely, while continuously learning and improving.
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