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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Performance Regression Detector with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Detects performance regressions and predicts execution time failures in LLM workflows.

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 · 3 capabilities

The complete Performance Regression Detector capability set.

These are the exact actions your AI can choose when you ask it to work with Performance Regression Detector.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Performance Regression Detector.

  1. 01

    Predict failure horizon

    Forecasts when performance will reach a critical limit based on current degradation trends

  2. 02

    Analyze execution anomalies

    Identifies specific execution instances that deviate significantly from historical performance

  3. 03

    Calculate performance trend

    Determines if the system is experiencing a systemic slowdown over time

Observed, not estimated

781ms average. Fast in production.

Performance Regression Detector is checked daily against the live service.

Daily averagePeak 920ms
Aug 20Today
Fastest day
620ms
Slowest day
920ms
14-day trend
Slowing+29%

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 Performance Regression Detector, so you can see the experience inside your AI.

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

Performance Regression Detector Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Mrc7VLVZnW2CJ3Vp0BfcGsW4A6xTf6bdZnQTBTMV/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 — Performance Regression Detector capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "performance-regression-detector-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Mrc7VLVZnW2CJ3Vp0BfcGsW4A6xTf6bdZnQTBTMV/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 Performance Regression Detector owners ask.

  • 01

    How does the capability identify a regression?

    An execution is flagged as a regression if its duration exceeds the baseline median plus two times the baseline standard deviation.

  • 02

    Can I predict when my agent will hit a latency limit?

    Yes, by using predict_failure_horizon, you can estimate the number of execution cycles remaining before a critical latency limit is breached based on current trends.

  • 03

    What is the purpose of the trend analysis?

    The calculate_performance_trend capability uses linear regression to determine if the system is experiencing a systemic slowdown over time.

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