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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Latency Perception Score with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Turn response speed metrics into actionable revenue projections.

Included with plan

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

Complete set · 4 capabilities

The complete AI Latency Perception Score capability set.

These are the exact actions your AI can choose when you ask it to work with AI Latency Perception Score.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Latency Perception Score.

  1. 01

    Calculate latency satisfaction

    This capability determines how much current response speed is damaging user satisfaction, giving you a clear metric of UX decay.

  2. 02

    Calculate optimization roi

    Use this to justify technical investments by calculating the potential return on investment for improving latency.

  3. 03

    Estimate abandonment cost

    This function converts the predicted user abandonment rate into a tangible monetary loss, showing the dollar value of churn.

  4. 04

    Predict user abandonment

    It estimates the percentage of users likely to stop using the service based on current latency levels.

Observed, not estimated

826ms average. Fast in production.

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

Daily averagePeak 1013ms
Aug 28Today
Fastest day
762ms
Slowest day
1013ms
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. 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.

  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 — 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

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.

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