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Connect Priority Queue With Aging Scheduler to your AI

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Simulate and analyze deterministic task execution workflows.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Priority Queue Scheduler.

  1. 01

    Analyze starvation risk

    This capability evaluates task wait times to see if your current scheduling setup is causing starvation. It identifies if specific tasks are being ignored for too long.

  2. 02

    Get task by ID

    This capability pulls specific performance metrics for a single task from your previous simulations. You can get details like wait time and turnaround time.

  3. 03

    Simulate scheduling

    This capability runs a full scheduling simulation based on the tasks and environmental parameters you provide. It outputs the execution order and performance stats.

Real work

What teams actually run

01

Testing Anti-Starvation Logic

You simulate a queue with high-priority bursts to see if your aging rate keeps low-priority tasks moving.

02

Performance Benchmarking

You run multiple simulations with different agent counts to measure changes in throughput.

03

Queue Configuration Audits

You use the starvation risk capability to verify that your priority settings won't leave tasks stuck indefinitely.

04

Metric Extraction

You pull specific turnaround and response times for a single task to debug execution delays.

One connector, every AI

Priority Queue Scheduler works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Priority Queue Scheduler to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

911ms average. Fast in production.

Priority Queue Scheduler is checked daily against the live service.

Daily averagePeak 1127ms
Oct 3Today
Fastest day
684ms
Slowest day
1127ms
14-day trend
Improving-14%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Priority Queue Scheduler, so you can see the experience inside your AI.

It does not authenticate your account with Priority Queue Scheduler. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Priority Queue Scheduler Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_8seeOmc9dFMz5moubXgUYBxRi3r5Lezr93V4Skhv/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Priority Queue Scheduler capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "priority-queue-with-aging-scheduler-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_8seeOmc9dFMz5moubXgUYBxRi3r5Lezr93V4Skhv/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Priority Queue Scheduler in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Priority Queue Scheduler owners hand off.

This MCP is built for engineers designing complex task management systems. They use it to validate scheduling logic before deployment.

  • 01

    Backend Engineers

    They hand off task sets and priority rules to the agent to test queue behavior.

  • 02

    Systems Architects

    They use the agent to model how aging mechanisms prevent starvation in distributed systems.

  • 03

    DevOps Engineers

    They use the simulation capabilities to predict throughput and wait times under different loads.

FAQ

Questions Priority Queue Scheduler owners ask.

  • 01

    How does the aging mechanism work in this MCP?

    The aging mechanism increases a task's effective priority as it waits in the queue. This ensures that even the lowest priority tasks eventually get executed.

  • 02

    Can I test different numbers of agents?

    Yes, you can specify the number of agents as an environmental parameter when running a simulation.

  • 03

    What metrics can I get for a single task?

    You can retrieve wait time, turnaround time, response time, and normalized turnaround for any task ID from a simulation.

  • 04

    How do I know if my scheduler is causing starvation?

    You can use the analyze_starvation_risk capability to evaluate wait times and determine if the configuration is causing significant delays.

  • 05

    Is the scheduling deterministic?

    Yes, the scheduler uses a deterministic priority-based approach, meaning the same inputs will yield the same results.

  • 06

    How does the aging mechanism work?

    The effective priority of a task increases based on the agingRate multiplied by the time the task has spent waiting in the queue, up to the defined maxPriority.

  • 07

    How is starvation detected?

    Starvation is flagged if a task's wait time exceeds ten times the average wait time, or if a task waits longer than 60 seconds when the aging rate is zero.

  • 08

    Can I simulate different agent counts?

    Yes, the simulate_scheduling capability allows you to specify the agentCount to see how different numbers of workers affect throughput and wait times.

Explore

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