Hyperterse

In plain words

Hyperterse is an open-source framework for building MCP servers that connect AI agents to production databases with controlled access. It uses a schema-first approach to automatically generate typed MCP tools from existing Postgres, MySQL, MongoDB, and Redis databases, eliminating fragile glue code and unsafe broad permissions. The framework is designed for teams building AI agents in production who need a principled way to expose specific data surfaces securely to their agents.

written from the facts on this page · September 2026

From the sources

Hyperterse treats data access as declarative infrastructure, rather than existing data tools that rely on insecure Text-to-SQL or tedious manual APIs. Define queries once, and we auto-generate secure Model Context Protocol (MCP) tools and REST endpoints. Standout features include "Security-by-Abstraction" (agents never see raw SQL), automatic input validation, and real-time generation of LLM-friendly documentation. It bridges the "Data Access Gap" for your Postgres, MySQL, and Redis data.

Declarative agents and MCP in one high performant runtime: A2A HTTP, full MCP surface, search/execute, model providers, auth, cache, OpenTelemetry.

A single high-performance engine powering agents, tools, prompts, data plane connections, auth, cache, and telemetry. Same declarations, same artifact, same ops — not two stacks. Build custom agents with your own models, and get ready endpoints to connect them to any agent harness. Create tools that any agent harness can call, with built-in input validation and caching. Ship resources that any harness can read and use for better context. Pack reusable conversation scaffolding, and let users use them with natural language. Your full agentic surface, all in one binary. No sidecars, no extra processes. No complexity. Only agents, tools, resources, prompts, or all. Same engine and deploy story.…from hyperterse.com

In the maker’s words, at launch

Hi HN, I’m Samrith, creator of Hyperterse. Today I’m launching Hyperterse 2.0, a schema-first framework for building MCP servers directly on top of your existing production databases. If you're building AI agents in production, you’ve probably run into agents needing access to structured, reliable data but wiring…

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