Elva
Product Hunt Garry Tan
Elva helps agents use APIs from code and runs MCP servers with auth and analytics. It splits access by audience, so humans and bots don’t get the same keys.
Based on reporting by Product Hunt, Garry Tan — read the original for the full story.
Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error
Elva is launching on Product Hunt as an API and developer tool built for a world where software users are no longer all people. It discovers APIs from code, then lets teams decide what different audiences can use. That includes agents, which now need their own lane instead of borrowing whatever a human developer happened to expose.
The pitch is pretty direct: point Elva at your code, control access by audience, and let it handle MCP servers with authentication and analytics. That last part matters. If agents are going to call tools on their own, the old “ship it and hope” approach starts to look sloppy fast.
There’s also a practical angle here. Elva says it can track agent activity and review changes as code evolves, which is exactly the kind of plumbing teams tend to ignore until something breaks or an audit shows up asking uncomfortable questions.
So this is less about another shiny AI wrapper and more about access control, visibility, and keeping agent behavior inside the lines. The use case is narrow, but the timing is obvious.
My take — AI-written commentary, not fact-checked reporting
This is the sensible kind of AI product: boring in the right places and slightly paranoid where it should be. Agents don’t need more freedom by default; they need clearer fences, logs, and someone willing to say no. The industry spent a year handing models keys to everything and acting surprised when that looked messy.
Read more about this at: Product Hunt