Is this just a dashboard that shows latency graphs?

No. It goes beyond simple graphing. This MCP uses your input data to run financial models, calculating the actual monetary loss from user abandonment and the ROI of performance improvements.

What kind of data do I need to provide?

You need operational metrics, such as your average latency in milliseconds, your user's lifetime value (LTV), and the user tolerance thresholds for your specific industry.

Can I use this to prove that speed matters to investors?

Yes. The capabilities allow you to generate a clear, quantifiable financial argument. You can project the total estimated financial loss due to abandonment, which is highly effective for investor pitches.

Does this MCP require me to change my existing infrastructure?

No. This MCP is a decision-support capability. It takes your existing performance data and models the outcomes, helping you decide where to invest money to improve performance.

How does this capability help with business decisions?

It converts technical latency metrics into financial data, such as abandonment cost and optimization ROI, allowing for data-driven infrastructure planning.

Can I use this to justify server upgrades?

Yes, by using calculate_optimization_roi, you can estimate the projected savings from reduced user abandonment compared to the cost of the upgrade.

What metrics are required for abandonment prediction?

To use predict_user_abandonment, you need the average response time, the user's tolerance threshold, and the abandonment sensitivity factor.

An astronaut overseeing a futuristic data hub

Download PDF Markdown Version

Connect AI Latency Perception Score 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. Turn response speed metrics into actionable revenue projections.

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.

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.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Latency Perception Score.

01
Calculate optimization roi
Use this to justify technical investments by calculating the potential return on investment for improving latency.
02
Predict user abandonment
It estimates the percentage of users likely to stop using the service based on current latency levels.
03
Calculate latency satisfaction
This capability determines how much current response speed is damaging user satisfaction, giving you a clear metric of UX decay.
04
Estimate abandonment cost
This function converts the predicted user abandonment rate into a tangible monetary loss, showing the dollar value of churn.

Real work

What teams actually run

Justifying Infrastructure Upgrades

Before spending millions on a new database, use this MCP to calculate the ROI of reducing latency from 800ms to 400ms.

Pre-Launch Feature Assessment

If a new feature is expected to slow down the client by 150ms, use this to estimate the resulting drop in user satisfaction.

Quarterly Business Review

Present a clear financial model showing that current latency levels are costing the company $X in lost revenue.

One connector, every AI

AI Latency Perception Score 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.

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

You don't need a client to put AI Latency Perception Score 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

859ms average. Fast in production.

AI Latency Perception Score is checked daily against the live service.

Daily averagePeak 1109ms

Oct 3Today

Fastest day: 674ms
Slowest day: 1109ms
14-day trend: Stable+3%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 AI Latency Perception Score, so you can see the experience inside your AI.

It does not authenticate your account with AI Latency Perception Score. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Latency Perception Score Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_M93Y4lH2lF0kxBGKE4riESQ0iOb8wxjcUYLNKzRA/mcp

Claude 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 — AI Latency Perception Score capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "ai-latency-perception-score-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_M93Y4lH2lF0kxBGKE4riESQ0iOb8wxjcUYLNKzRA/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 AI Latency Perception Score in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Latency Perception Score owners hand off.

This MCP is built for SaaS founders, product managers, and engineering leads who need to prove the financial necessity of speed. If your company's revenue model depends on user retention, this connector provides the metrics you need to justify infrastructure spending.

01
Product Manager
Use it to quantify the exact impact of a new feature's latency on user satisfaction scores.
02
CTO / VP Engineering
Use it to build a business case that proves the ROI of upgrading core infrastructure.
03
Business Analyst
Use it to model potential revenue loss based on predicted user abandonment rates.

FAQ

Questions AI Latency Perception Score owners ask.

01
Is this just a dashboard that shows latency graphs?
No. It goes beyond simple graphing. This MCP uses your input data to run financial models, calculating the actual monetary loss from user abandonment and the ROI of performance improvements.
02
What kind of data do I need to provide?
You need operational metrics, such as your average latency in milliseconds, your user's lifetime value (LTV), and the user tolerance thresholds for your specific industry.
03
Can I use this to prove that speed matters to investors?
Yes. The capabilities allow you to generate a clear, quantifiable financial argument. You can project the total estimated financial loss due to abandonment, which is highly effective for investor pitches.
04
Does this MCP require me to change my existing infrastructure?
No. This MCP is a decision-support capability. It takes your existing performance data and models the outcomes, helping you decide where to invest money to improve performance.
05
How does this capability help with business decisions?
It converts technical latency metrics into financial data, such as abandonment cost and optimization ROI, allowing for data-driven infrastructure planning.
06
Can I use this to justify server upgrades?
Yes, by using calculate_optimization_roi, you can estimate the projected savings from reduced user abandonment compared to the cost of the upgrade.
07
What metrics are required for abandonment prediction?
To use predict_user_abandonment, you need the average response time, the user's tolerance threshold, and the abandonment sensitivity factor.

Explore

More in Business Intelligence

Connect AI Latency Perception Score to Claude, Cursor, ChatGPT & more

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

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Calculate optimization roi

Predict user abandonment

Calculate latency satisfaction

Estimate abandonment cost

What teams actually run

Justifying Infrastructure Upgrades

Pre-Launch Feature Assessment

Quarterly Business Review

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

AI Latency Perception Score Connector

Claude Desktop

Product Manager

CTO / VP Engineering

Business Analyst

Is this just a dashboard that shows latency graphs?

What kind of data do I need to provide?

Can I use this to prove that speed matters to investors?

Does this MCP require me to change my existing infrastructure?

How does this capability help with business decisions?

Can I use this to justify server upgrades?

What metrics are required for abandonment prediction?

User Research ROI Calculator AI Connector

AI Feature Retention Analyzer AI Connector

AI Power User Analytics Engine AI Connector

AI SaaS Feature Churn Correlation AI Connector

Suggestions

UserStack User-Agent Lookup AI Connector

User-Agent Parser AI Connector

1Password SaaS Manager AI Connector

Chameleon.io AI Connector