[HN Gopher] Show HN: Declarative open-source framework for MCPs ...
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Show HN: Declarative open-source framework for MCPs with search and
execute
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 your
business logic to MCP tools is tedious. Most teams end up writing
fragile glue code. Or worse, giving agents unsafe, overbroad
access. There isn't a clean, principled way to expose just the
right data surface to agents. Hyperterse lets you define a schema
over your data and automatically exposes secure, typed MCP tools
for AI agents. Think of it as: Your business data - controlled,
agent-ready interface. Some key properties include a schema-first
access layer, typed MCP tool generation, works with existing
Postgres, MySQL, MongoDB, Redis databases, fine-grained exposure of
queries, built for production agent workloads. v2.0 focuses
heavily on MCP with first-class MCP server support, cleaner schema
ergonomics, better type safety, faster tool surfaces. All of this,
with only two tools - search & execute - reducing token usage
drastically. Hyperterse is useful if you are building AI
agents/copilots, adding LLM features to existing SaaS, trying to
safely expose internal data to agents or are just tired of bespoke
MCP glue layers. I'd love feedback, especially from folks running
agents in production. GitHub:
https://github.com/hyperterse/hyperterse
Author : samrith
Score : 5 points
Date : 2026-02-24 21:01 UTC (1 hours ago)
(HTM) web link (hyperterse.com)
(TXT) w3m dump (hyperterse.com)
| obiefernandez wrote:
| I'm gonna build this into Ruby on Rails.
|
| I have lots of the code proven out already
| https://medium.com/zar-engineering/code-mode-mcp-ac17c2a1038...
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