Agent Quality Gate Calculator MCP Connector for Claude
A+A deterministic engine for calculating quality scores, approval decisions, and operational costs for AI agent outputs.
This MCP server provides a deterministic engine to evaluate AI agent outputs against configurable quality criteria. It allows for precise gatekeeping using strategies like 'all_must_pass', 'majority_vote', or 'weighted_score'. Use evaluate_output_quality to determine if an output meets specific thresholds, analyze_quality_trends to monitor performance degradation over time, and estimate_rework_impact to calculate the business cost of inaccuracies. It is designed to help teams implement automated quality gates for various output types like code, summaries, or data extraction.
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