Connect your data to your agents.
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.
Abstracting data access into typed tools instead of raw SQL is a smart constraint. How do you handle permissions and environment separation when the same agent operates across staging and prod?
Powerful to see it create mcp tools and documentation at the same time - congrats!
Hi Product Hunt! 👋 I’m Samrith, the creator of Hyperterse. We are witnessing a massive shift from passive chatbots to active Agentic AI—a market projected to hit over $50B by 2030. But as many of you know, there is a massive "Data Access Gap" holding us back. To make agents useful, you have to connect them to production data, and right now, that process is broken. The Problem: The "Integration Nightmare" If you want to give Claude or a custom agent access to your PostgreSQL or MySQL database, yo
@samrith such a great idea! upvoted:) super curious about how are you handling the actual mcp protocol implementation? we've had so many issues with mcps being flaky or not maintaining connections properly. also curious about latency - are you caching query results or is every agent call hitting the db directly? and last thing, how do you handle when different agents need different levels of access to the same data? like some should only read, others can write, etc. we're trying to figure out th
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.