Samrith Shankar

Hyperterse - 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.

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Samrith Shankar
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 🙌