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Agent Resource Contention Calculator

Agent Resource Contention Calculator MCP Connector for Claude

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High-precision queueing theory calculator for multi-agent system performance.

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

This MCP server provides deterministic tools for analyzing resource contention and queueing behavior in multi-agent systems. Using standard queueing theory models like M/M/1, M/M/c, and M/G/1, it allows you to predict system stability, wait times, and optimal agent counts. Use calculate_queue_metrics to find utilization and queue length, analyze_system_health to detect critical congestion risks, or find_optimal_agents to balance agent costs against waiting time costs.

queueing-theoryresource-managementmulti-agent-systemsperformance-analysisoptimization

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

analyze_system_health

Evaluates the stability and risk levels of the current system configuration

calculate_queue_metrics

Calculates fundamental performance metrics of the system based on the selected queueing model

find_optimal_agents

Determines the most cost-effective number of agents to minimize total cost

See how to talk to your AI agent using Agent Resource Contention Calculator.

Calculate the metrics for a system with an arrival rate of 5 requests/sec, a service rate of 2 requests/sec per agent, 3 agents, and a queue capacity of 10 using the M/M/c model.

The system utilization is 0.83, the average wait time is 0.12 seconds, and the average queue length is 0.15 requests.

Check the health of a system where arrival rate is 10, service rate is 11, agents is 1, and capacity is 5 using M/M/1.

The system status is WARNING because the utilization is 0.91.

What is the optimal number of agents if arrival rate is 2, service rate is 1, cost per agent is 10, and waiting cost is 50 per second using M/M/1?

The optimal agent count is 3, resulting in a minimized total cost of 30.0.

The server supports M/M/1 (single server), M/M/c (multi-server), and M/G/1 (general service) models.

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