Scan your models and datasets for bias across protected attributes, get quantified fairness metrics, and produce the evidence the EU AI Act and the Equality Act demand.
Demographic parity, equalised odds and disparate impact computed across protected groups.
Test training data and live model outputs for skew, proxies and intersectional bias.
Auditor-ready report with thresholds, findings and recommended mitigations.
Re-test on every release and get alerted when fairness regresses.
BiasDetectionOf exposes its flagship tools as Model Context Protocol servers — call them directly from any MCP client, agent or workflow.
bias-detection-mcp.scan
Run a fairness scan on a model or dataset and return quantified bias metrics from any agent.
eu-ai-act-compliance-mcp.assess
Map bias findings to EU AI Act high-risk obligations and evidence requirements.
bias-detection-mcp.scanNo installation required. This simulates the MCP tool call and shows the kind of output you can surface inside Claude, Cursor, Kimi or any A2A client.
Start a free trial, request a demo, or apply to become a partner.