An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Ramen Shop Queue Estimator to ChatGPT and Claude

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. Predict customer wait times using deterministic queueing models.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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 Ramen Queue Estimator.

  1. 01

    Estimate wait time

    Predicts how long a customer currently in line will wait before they get a seat.

  2. 02

    Get service metrics

    Provides fundamental capacity and utilization metrics for your shop's current state.

  3. 03

    Predict probability of delay

    Estimates the likelihood that a customer will face a significant delay based on current congestion.

Real work

What teams actually run

01

Managing Customer Expectations

Give customers an accurate wait time when they arrive at the door.

02

Staffing Optimization

Determine if you need more staff by checking if utilization is hitting critical levels.

03

Seating Strategy

Model how adding or removing booths changes the probability of customer delays.

04

Rush Hour Planning

Predict how high arrival rates will impact your shop's capacity during peak hours.

One connector, every AI

Ramen Queue Estimator 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 Ramen Queue Estimator 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

831ms average. Fast in production.

Ramen Queue Estimator is checked daily against the live service.

Daily averagePeak 919ms
Oct 3Today
Fastest day
628ms
Slowest day
919ms
14-day trend
Slowing+5%

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 Ramen Queue Estimator, so you can see the experience inside your AI.

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

Ramen Queue Estimator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_VfXuDoQ2QX7dKYcAuiJKda2gadlKJWXxzthVIQWH/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 — Ramen Queue Estimator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ramen-shop-queue-estimator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_VfXuDoQ2QX7dKYcAuiJKda2gadlKJWXxzthVIQWH/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 Ramen Queue Estimator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Ramen Queue Estimator owners hand off.

This MCP is designed for operators of small, high-turnover dining establishments that use booth seating.

  • 01

    Ramen Shop Owner

    Uses the MCP to plan staffing levels based on predicted congestion.

  • 02

    Floor Manager

    Hands off real-time customer arrival data to the AI to get accurate wait estimates.

  • 03

    Operations Analyst

    Uses service metrics to model how changes in seating or eating time affect throughput.

FAQ

Questions Ramen Queue Estimator owners ask.

  • 01

    What math does this MCP use?

    It uses Little's Law and M/M/c queueing approximations to provide deterministic modeling for booth-based service.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 03

    What information do I need to provide?

    You typically need to provide the number of booths, the average eating time per customer, and the customer arrival rate.

  • 04

    Does this work for restaurants without booths?

    The model is specifically designed for individual booth service models.

  • 05

    How is this different from a simple calculator?

    This MCP allows your AI agent to perform complex queueing theory calculations directly within your workflow using real-time shop data.

  • 06

    How does this capability calculate wait times?

    The capability uses the number of available booths and the average eating time to determine the service rate, then applies queueing theory to estimate wait times based on the current queue length.

  • 07

    What is considered extreme congestion?

    Extreme congestion is flagged when the utilization rate exceeds 0.9, meaning the arrival rate is very close to the maximum service capacity.

  • 08

    Can I use this for any restaurant?

    While designed for booth-style service like Ichiran, the mathematical models can be applied to any service environment with discrete service stations.

Explore

More in Business

Suggestions

Connect Ramen Queue Estimator to Claude, Cursor, ChatGPT & more