People Management Prover MCP for AI. Audit Bias & Force Legal HR Rigor on Every Decision

You're dealing with AI agents writing HR reports, right? They sound authoritative, but when you run them up against real legal or I-O psychology standards, they fall apart. Agents tend to recommend hiring based on vague crap like 'great fit' or 'positive energy.' The validate_people_management tool changes that. It forces actual rigor into every single evaluation.

This server doesn't just critique the text; it audits your whole decision framework, demanding measurable criteria and proving legal compliance for whatever jurisdiction you operate in. You can’t skip these steps and still expect a 'good enough' conclusion.

The tool starts by enforcing job-related criteria. It makes sure you define every single evaluation point using metrics that are essential to the actual job function, not just some general skill set. You must use anchored scoring rubrics; there's no room for subjective judgment here.

When it comes to bias auditing, you're protected. The system runs a full anti-discrimination analysis by calculating selection rates across all protected groups. Specifically, it checks against the 4/5ths rule, flagging potential adverse impact long before you file any paperwork or make an offer.

Legal compliance is another major checkpoint. You input your location, and the tool identifies the governing jurisdiction and every applicable labor statute—whether that’s US Title VII law, GDPR Article 22 requirements, or something else entirely. It tells you exactly what statutes matter right now so you don't get sued.

It also demands validated assessment methods. Vague 'gut feeling' decisions won't pass this check. The system requires evidence of predictive validity coefficients and structured scoring to prove your method actually predicts job performance, making sure your hiring logic is sound science, not just a hunch.

And for performance reviews? It forces you to generate developmental feedback that’s behavioral and criteria-referenced. You move way past simple praise or vague warnings like 'needs improvement.' The tool structures notes focused entirely on forward development, giving concrete actions the employee can take.

Basically, validate_people_management takes your proposed HR action—be it a hiring decision, a major performance review, or even a restructuring plan—and runs it through multiple technical checkpoints. It forces you to define measurable job criteria and assess how those criteria tie back directly to essential functions. You'll find that the tool insists on establishing clear lines of predictive validity for all assessments used in your process.

If the assessment method can't prove its worth with hard data, you won't get a clean pass.

If you're handling European employee data, it will enforce checks against specific regulations like GDPR Art. 22. It verifies that any automated decision-making process respects your workers' rights to human review. When drafting performance notes, the tool ensures they aren’t just complaints; they must be behavioral and developmental.

It also handles the specifics of protected groups analysis for bias. You don't just get a pass/fail—you get detailed metrics showing selection rates across different demographics so you can pinpoint exactly where adverse impact exists. This level of detail is what separates an HR report from actionable, legally sound documentation.

Use this server when your agency needs to prove its logic. It’s designed for the moment you need to know if a recommendation holds up under intense scrutiny—the kind of scrutiny that involves statistical bias analysis and specific labor law citations.