DatI: A Semantic Database Gateway for Safe and Efficient Agent Access

说明与用途

DatI 为 AI 代理提供安全高效的语义数据库网关，利用 MCP 协议和语义建模实现与企业工作流的无缝集成。

问题

Business teams struggled to adopt natural language querying for databases because NL2DSL limited ad‑hoc analysis and customers wanted integration into existing workflows rather than standalone data‑agent apps.

结果

DatI enables safe, efficient, and integrated NL2SQL access for AI agents, reducing the need for custom code and providing enterprise‑grade credential management and semantic modeling.

工作流

• Connect a database and auto‑read schemas
• Configure table/column descriptions, aliases, and enum values
• Define semantic subjects and business terms
• Set up preset tools (metadata search, schema inspection, controlled SQL) and custom parameterized SQL templates
• Publish the MCP service with access tokens
• Connect an agent (e.g., Google Antigravity) to the MCP endpoint and run semantic queries

证据

publishing a database directly as a standard MCP service—paired with lightweight metadata management—provides a clean, plug‑and‑play NL2SQL component

来源

DatI connects directly to your database and reads schemas automatically. Here, you can configure descriptions and aliases for tables, columns, and column values

来源