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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Pipeline Leak Detection with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Evaluate pipeline leak detection effectiveness using API 1130 methodologies.

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 Pipeline Leak Detection capability set.

These are the exact actions your AI can choose when you ask it to work with Pipeline Leak Detection.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Pipeline Leak Detection.

  1. 01

    Evaluate false alarm risk

    Assess the likelihood of nuisance alarms during normal operations

  2. 02

    Get pipeline sensitivity

    Determine the minimum detectable leak size for a specific pipeline configuration

  3. 03

    Get regulatory compliance check

    Verify if a proposed design meets specific US or European safety requirements

  4. 04

    Get system response time

    Calculate how quickly a leak will be identified

One connector, every AI

Pipeline Leak Detection 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 Pipeline Leak Detection 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.

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 Pipeline Leak Detection, so you can see the experience inside your AI.

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

Pipeline Leak Detection Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Xz3c4XG8hmvmXtyCpscpvmjzxoCL6tSTgW6zyVw5/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 — Pipeline Leak Detection capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pipeline-leak-detection-design-system-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Xz3c4XG8hmvmXtyCpscpvmjzxoCL6tSTgW6zyVw5/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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions Pipeline Leak Detection owners ask.

  • 01

    What methodologies does this system use?

    The system is built around the API 1130 methodology, providing standardized frameworks for evaluating leak detection sensitivity and reliability.

  • 02

    Can I check if my design meets US regulations?

    Yes, you can use the get_regulatory_compliance_check capability to verify if your calculated leak size and response time meet specific USA or Europe safety requirements.

  • 03

    How does the system handle false alarms?

    The system uses evaluate_false_alarm_risk to assess the likelihood of nuisance alarms based on the chosen monitoring method and operational volatility.

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