MCP For Claude Marketplace
Agent Resource Fairness Scheduler

Agent Resource Fairness Scheduler MCP Connector for Claude

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Deterministic fair resource allocation for competing agents using weighted fair queuing.

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

This MCP server provides a deterministic resource management system designed to allocate limited token and compute capacity among competing agents. It uses Weighted Fair Queuing (WFQ) to ensure each agent receives a share based on its priority. The system monitors for critical scheduling issues including starvation, priority inversion, and fairness degradation using Jain's Fairness Index. It also provides predictive metrics like queue drain time and preemption costs to help manage system throughput and overhead.

fairnesswfqresource-allocationschedulingmetrics

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

calculate_resource_allocation

Determine exact token and compute distribution for all agents based on priorities and requests

estimate_queue_metrics

Predict future system behavior, including queue drain time and preemption costs

analyze_system_health

Evaluate system state regarding fairness, starvation, and priority issues

See how to talk to your AI agent using Agent Resource Fairness Scheduler.

Calculate the resource allocation for three agents with priorities 1, 2, and 2, given 1000 tokens and 5000ms compute capacity.

The allocation for the agents is: Agent 1 (priority 1) receives 200 tokens and 1000ms; Agent 2 (priority 2) receives 400 tokens and 2000ms; Agent 3 (priority 2) receives 400 tokens and 2000ms.

Check the system health for these allocations and waiting times: allocations=[{agentId: 'a1', allocatedTokens: 100, allocatedComputeMs: 500, isBursting: false}], waitingTimes=[{agentId: 'a1', waitTimeSeconds: 10}].

The system status is HEALTHY with a fairness index of 1.0 and no starvation or priority inversion detected.

Estimate the queue drain time if there are 50 pending requests and the current throughput is 10 requests per minute.

The estimated queue drain time is 5 minutes.

Resources are distributed using Weighted Fair Queuing (WFQ). An agent's share is calculated as its priority divided by the sum of all active agents' priorities, multiplied by the total available capacity. You can use `calculate_resource_allocation` to get exact distributions.

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