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Vouqis audits MCP servers before they reach production. One CLI command tests every tool call, measures latency, surfaces errors, and logs 90 days of trace history — with replay built in. Ship AI agents knowing your MCP layer is actually safe.
Hey PH! I built Vouqis because I kept seeing MCP servers fail in production in ways that were completely invisible to
standard monitoring. HTTP 200, no errors in logs — but the server was silently accepting malformed JSON-RPC
requests it should have rejected, or timing out on tools 3 and 4 in a 5-tool chain.
The math is brutal: if each MCP tool has 71% reliability, a 5-tool chain succeeds only 18% of the time. You need to know
your server's actual protocol-level reliability before you ship.
Vouqis runs 10 deterministic probes, zero LLM calls, and gives you a trust score you can put in your README and gate
on in CI. Happy to audit anyone's MCP server live in the comments — just drop a URL
Building Vouqis also made us realize that traditional uptime metrics alone are no longer enough for MCP ecosystems.
A server can appear “healthy” at the infrastructure layer while still failing protocol-level expectations that directly impact agent reliability.
That’s why the focus on deterministic probing became important for us — not just detecting outages, but identifying silent trust and validation failures before they reach production workflows.
We believe MCP tooling needs the same level of reliability standards that modern CI/CD brought to application infrastructure.
As Taylor mentioned, the real insight is that “HTTP 200” does not mean MCP success. The product addresses a painful and increasingly common issue: AI agents fail silently while infrastructure dashboards still look healthy. Its strongest positioning advantage is protocol-level trust scoring powered by deterministic probes, giving teams visibility into failures traditional observability tools completely miss.
Vouqis brings deeper visibility into MCP reliability through structured validation and measurable trust scoring. We're grateful to share this with the community and would truly value your feedback.
About Vouqis on Product Hunt
“Know if your MCP server actually works”
Vouqis was submitted on Product Hunt and earned 4 upvotes and 8 comments, placing #121 on the daily leaderboard. Vouqis audits MCP servers before they reach production. One CLI command tests every tool call, measures latency, surfaces errors, and logs 90 days of trace history — with replay built in. Ship AI agents knowing your MCP layer is actually safe.
Vouqis was featured in API (98.3k followers), Artificial Intelligence (471.1k followers) and Security (2.7k followers) on Product Hunt. Together, these topics include over 115.1k products, making this a competitive space to launch in.
Who hunted Vouqis?
Vouqis was hunted by Sasi Sundar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Vouqis stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sasi Sundar