Hyperterse is a full MCP framework, not just a data layer.
Instead of stitching APIs, SDKs, and agents manually, you declaratively define tools and Hyperterse compiles them into production-ready MCP servers. It standardizes how agents discover, reason about, and execute capabilities and turning your backend into a native agent runtime with built-in auth, observability, and multi-system orchestration.
The "10-to-1" rule says we spend 10x more time reading code than writing it.
Yet, when connecting AI agents to databases, we are seeing developers drowning in manual boilerplate writing endpoints, validation logic, and maintaining llms.txt files just to expose a simple query.