Hyperterse – Declarative data access infrastructure for AI agents

Summary: Hyperterse provides a secure, declarative way to connect AI agents to databases by defining queries once and auto-generating Model Context Protocol (MCP) tools and REST endpoints. It eliminates risks from raw SQL exposure and reduces manual API coding by supporting PostgreSQL, MySQL, and Redis with automatic input validation and real-time LLM-friendly documentation.

What it does

Hyperterse converts data access into declarative infrastructure, generating secure MCP tools and REST APIs from user-defined queries. It abstracts raw SQL from agents, validates inputs automatically, and produces OpenAPI specs and documentation in real time.

Who it's for

It targets developers integrating AI agents like Claude or Cursor with production databases who need secure, maintainable, and efficient data access solutions.

Why it matters

It addresses the "Data Access Gap" by preventing SQL injection risks and eliminating hours of manual API development, enabling safer and faster AI agent integration with databases.