Hyperterse

The declarative MCP framework

67 followers

The declarative MCP framework

67 followers

Visit website

Databases and backend frameworks

•

AI Infrastructure Tools

•

LLM Developer Tools

Hyperterse is an open-source framework that simplifies how AI agents connect to real data and systems. Define tools declaratively, and Hyperterse exposes them as secure, production-ready MCP interfaces. Its two-tool model—search and execute—lets agents discover and use capabilities dynamically. With built-in auth, caching, and observability, it replaces fragile glue code and enables fast, safe, scalable AI applications.

This is the 2nd launch from Hyperterse. View more

Hyperterse

Launching today

The declarative MCP framework

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.

Free

Launch tags:Open Source•Developer Tools•Artificial Intelligence

Launch Team / Built With

Intercom — Startups get 90% off Intercom + 1 year of Fin AI Agent free

Startups get 90% off Intercom + 1 year of Fin AI Agent free

Promoted

Hyperterse

Maker

📌

Hello PH 👋 Samrith here - the creator of Hyperterse. I started working on Hyperterse because I kept running into the same frustrating problem: every time I built something with AI agents, I’d spend way more time wiring up tools than actually building the product. It was always the same mess. Boilerplate, glue code, auth, edge cases. The worst part? None of it felt like it should be this hard. v1 was my attempt to simplify data access. But while building and talking to other devs, it became clear that the real problem was bigger. There’s no clean, standard way to turn a backend into something agents can actually use. That’s what led to v2. Hyperterse is now an MCP framework that lets you define tools declaratively and automatically turn them into a production-ready agent runtime. No more stitching things together manually. Your backend just becomes “agent-ready.” This has been a pretty intense rebuild, but also the most fun I’ve had building something in a while. Would love to hear what you all think, what breaks, and what you’d want to see next 🙌

Report

1d ago

Previous Hyperterse Launches

HyperterseConnect your data to your agents.

Launched on February 3rd, 2026

Forum Threads

p/hyperterse

•

2mo ago

Native MongoDB support now available!

Hey everyone! Very excited to release v1.3.0 with full native support for MongoDB!

You can seamlessly connect your documents to your AI agents the same way you would for Postgres, MySQL or Redis before.

p/hyperterse

•

2mo ago

Stop writing MCP boilerplate for your AI Agents.

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.

View all