What industry standards does this MCP follow?

This MCP implements API 1130 methodologies for pipeline leak detection evaluation.

Can I check compliance for European standards?

Yes, the capability includes a specific check for European safety requirements.

What parameters are needed for sensitivity testing?

You typically need to provide the pipeline diameter, wall thickness, and length to determine the minimum detectable leak size.

Does this MCP work with Claude or Cursor?

Yes, it works with any MCP-compatible client including Claude, Cursor, and Windsurf.

How does it calculate response time?

It calculates the total time by combining propagation delay and computational latency.

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.

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.

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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Connect Pipeline Leak Detection Design System to your AI

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. Validate leak detection configurations against industry standards.

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.

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 Pipeline Leak Detection.

01
Evaluate false alarm risk
This capability assesses the likelihood of nuisance alarms during normal operations. It helps you predict how often your system might trigger false positives.
02
Get pipeline sensitivity
This capability determines the minimum detectable leak size for a specific pipeline configuration. It uses your provided diameter, thickness, and length data.
03
Get regulatory compliance check
This capability verifies if a proposed design meets specific US or European safety requirements. It checks your parameters against regional standards.
04
Get system response time
This capability calculates how quickly a leak will be identified. It accounts for propagation delay and computational latency.

Real work

What teams actually run

Design Validation

Verify that a new pipeline configuration meets the required sensitivity thresholds before deployment.

Regulatory Auditing

Check if existing or proposed leak detection systems comply with US or European safety standards.

Performance Optimization

Compare different sensor types or monitoring methods to find the best response time.

Operational Risk Planning

Estimate the frequency of nuisance alarms to improve system reliability.

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.

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.

Observed, not estimated

912ms average. Fast in production.

Pipeline Leak Detection is checked daily against the live service.

Daily averagePeak 1182ms

Oct 3Today

Fastest day: 753ms
Slowest day: 1182ms
14-day trend: Improving-18%

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.

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 — 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? Set up Pipeline Leak Detection in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Pipeline Leak Detection owners hand off.

This MCP is built for professionals in the midstream and pipeline integrity sectors.

01
Pipeline Integrity Engineer
Hands off technical parameters to the AI to verify detection capabilities.
02
Compliance Officer
Uses the capability to ensure new designs meet regional safety mandates.
03
Systems Designer
Tests different configurations to optimize response times and sensitivity.

FAQ

Questions Pipeline Leak Detection owners ask.

01
What industry standards does this MCP follow?
This MCP implements API 1130 methodologies for pipeline leak detection evaluation.
02
Can I check compliance for European standards?
Yes, the capability includes a specific check for European safety requirements.
03
What parameters are needed for sensitivity testing?
You typically need to provide the pipeline diameter, wall thickness, and length to determine the minimum detectable leak size.
04
Does this MCP work with Claude or Cursor?
Yes, it works with any MCP-compatible client including Claude, Cursor, and Windsurf.
05
How does it calculate response time?
It calculates the total time by combining propagation delay and computational latency.
06
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.
07
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.
08
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.

Explore

More in Engineering

Connect Pipeline Leak Detection 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

Evaluate false alarm risk

Get pipeline sensitivity

Get regulatory compliance check

Get system response time

What teams actually run

Design Validation

Regulatory Auditing

Performance Optimization

Operational Risk Planning

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

Pipeline Leak Detection Connector

Claude Desktop

Pipeline Integrity Engineer

Compliance Officer

Systems Designer

What industry standards does this MCP follow?

Can I check compliance for European standards?

What parameters are needed for sensitivity testing?

Does this MCP work with Claude or Cursor?

How does it calculate response time?

What methodologies does this system use?

Can I check if my design meets US regulations?

How does the system handle false alarms?

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