MCP For Claude Marketplace
Priority Inversion Detector

Priority Inversion Detector MCP Connector for Claude

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Detect and resolve priority inversion in real-time systems.

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

This MCP server provides deterministic tools to identify and mitigate priority inversion in concurrent systems. Use analyze_system_state to detect when high-priority tasks are blocked by low-priority tasks, and evaluate_resolution_strategies to simulate the impact of priority inheritance or priority ceiling protocols. You can also use assess_system_risk_and_fairness to calculate deadlock probability and Jain's Fairness Index to ensure system stability.

priority-inversionreal-timeconcurrencyschedulingdeadlock-detection

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

analyze_system_state

Detects active priority inversions and calculates their duration and impact

assess_system_risk_and_fairness

Quantifies system stability via deadlock probability and Jain's Fairness Index

evaluate_resolution_strategies

Calculates how different mitigation protocols affect system throughput and priorities

See how to talk to your AI agent using Priority Inversion Detector.

Analyze the current system state for priority inversions.

The system has one critical inversion: Task A (Priority 10) is blocked by Task C (Priority 2) for 45 seconds, resulting in an impact score of 450.

What happens if I apply priority inheritance to this task set?

Applying priority inheritance will increase throughput by 15% and reduce the high-priority task delay to 5 seconds.

Is the system currently at risk of a deadlock?

The current deadlock risk is 0.02, which is within the safe operating threshold.

You can use the `analyze_system_state` tool to identify active inversions and calculate their duration and impact.

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