Brunel Engineering Prover MCP. Prove your system survives 100x capacity failure.

Listen up. When your team designs something, they usually build it for today's load—the easy stuff. They call that 'decentralized,' and they think they're good to go. But when the real pressure hits, or when you gotta scale big time, those systems fall apart. The Brunel Engineering Prover is how you test if your entire structure survives massive stress points, not just minor hiccups.

This server forces a rigorous system audit that treats every piece of infrastructure—physical or digital—like it's holding up a skyscraper. It doesn't just check for bugs; it checks structural integrity. The single tool here, validate_brunel_engineering, handles the full stress test, forcing you to consider bottlenecks at 10x and 100x current capacity while mapping out every single component interface.

Here’s what this thing actually does:

Scaling Failure Analysis: It determines precisely where your system will choke. You feed it the current throughput, and it shows you the exact failure point—the bottleneck—when that load triples or increases tenfold. It's not guessing; it calculates when the whole damn thing slows to a crawl.

Interface Mapping & Backpressure: When different parts talk to each other, they can fail in weird ways. This tool maps every single communication contract between components. If Intake stops feeding the sorter, for instance, it traces that failure cascade across boundaries and defines exactly what happens with backpressure paths—does data queue up, or does everything immediately seize?

Hard Tolerances: You can't just say something 'should be fast.' This server forces you to set concrete engineering tolerances. It makes you define specific metrics—like an error rate of $le 0.5%$ or a processing time under $48$ hours—and, critically, it dictates the precise measurement methods required to prove those numbers are accurate.

Quantifying Risk: Instead of just saying 'we might fail,' this system forces you into calculation. It makes you quantify specific risks by multiplying probability ($P$) by impact. You can't leave out mitigation strategies or a full residual risk assessment; the tool won't let you skip it.

Challenging Assumptions: The old way of doing things is often 'best practice,' but that doesn't mean it works at your required scale. This server challenges those established assumptions, forcing you to prove with hard evidence why current industry standards will fail when you hit peak capacity and what novel approaches are actually needed to justify the change.

The validate_brunel_engineering tool wraps all of this up into one structured audit. It gives you a verdict matrix detailing structural gaps across scale bottlenecks, component contracts, required tolerances, quantifiable failure risks, and necessary assumption challenges.