MCP For Claude Marketplace
Performance Regression Detector

Performance Regression Detector MCP Connector for Claude

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Detects performance regressions and predicts execution time failures in LLM workflows.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server identifies performance regressions in agent execution times to prevent cost spikes and reliability degradation. It uses deterministic statistical calculations to identify anomalies via analyze_execution_anomalies, determine systemic slowdowns with calculate_performance_trend, and forecast future latency breaches using predict_failure_horizon.

performanceregressionstatisticsllmmonitoring

3 tools expose this connector's capabilities to your AI agent.

predict_failure_horizon

Forecasts when performance will reach a critical limit based on current degradation trends

analyze_execution_anomalies

Identifies specific execution instances that deviate significantly from historical performance

calculate_performance_trend

Determines if the system is experiencing a systemic slowdown over time

See how to talk to your AI agent using Performance Regression Detector.

Are there any performance regressions in my recent execution history?

Yes, there is a regression detected. The recent execution time exceeded the threshold of 1.5s.

Is my agent's performance degrading over time?

Yes, the trend slope is positive, indicating a systemic slowdown in execution times.

How many cycles until we hit a 5-second latency limit?

Based on the current degradation trend, there are approximately 12 execution cycles remaining before the 5-second limit is reached.

An execution is flagged as a regression if its duration exceeds the baseline median plus two times the baseline standard deviation.

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