Howdy. I built budget controls for AI agents, does this solve a problem you actually have?

A developer built gvnr, an open-source MCP server that provides per-agent spend caps and a human approval gate for AI agents. The tool hard-stops agent calls when budgets are exhausted and sends mobile approval links for irreversible actions, operating as REST calls or MCP tools without requiring a platform or SDK.

been building AI agent infrastructure for the past few months. The two things that kept biting me — and kept coming up when I talked to other devs building agents — were runaway costs and agents doing irreversible things without asking first. So I built gvnr: an open-source MCP server that gives agents per-agent spend caps hard-stop before a call if the budget's gone and a human approval gate agent asks, you get a mobile link, you approve or deny, agent waits . Both work as plain REST calls or MCP tools — no platform to adopt, no SDK. It's live. You can get an API key in one curl command and try the approval gate for free it doesn't burn the trial ops . Source is at github.com/mightbesaad/gvnr https://github.com/mightbesaad/gvnr . Here's what I genuinely want to know from devs building in this space: Not fishing for encouragement — if this is solving the wrong problem, or solving it the wrong way, I'd rather know now.