Use Ramen Queue Estimator with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predict wait times and congestion for Japanese-style ramen shops using queueing theory.
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.
Complete set · 3 capabilities
The complete Ramen Queue Estimator capability set.
These are the exact actions your AI can choose when you ask it to work with Ramen Queue Estimator.
01-03
3 capabilities in this set.
Part of 3 available through Ramen Queue Estimator.
- 01
Estimate wait time
Predicts how long a customer currently in line will wait before being seated
- 02
Get service metrics
Provides fundamental capacity and utilization metrics for the shop
- 03
Predict probability of delay
Estimates the likelihood that a customer will face a significant delay
Observed, not estimated
733ms average. Fast in production.
Ramen Queue Estimator is checked daily against the live service.
- Fastest day
- 642ms
- Slowest day
- 864ms
- 14-day trend
- Improving-10%
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.
https://edge.vinkius.com/vk_preview_VfXuDoQ2QX7dKYcAuiJKda2gadlKJWXxzthVIQWH/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Ramen Queue Estimator capabilities are ready to use.
{
"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
FAQ
Questions Ramen Queue Estimator owners ask.
- 01
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.
- 02
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.
- 03
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.
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