What kind of capabilities does this MCP support?

The MCP provides capabilities for determining capability requirements, evaluating risk, planning intervals, and predicting findings.

Can I use this with Claude or Cursor?

Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

How does it decide which inspection capability to use?

It uses the determine_tool_requirements capability to match the necessary capability types and sensitivity levels to your specific pipeline segment.

Does this help with budgeting for repairs?

Yes, by using the predict_inspection_findings capability, you can forecast the types and quantities of defects expected, which helps in planning resources.

Is the data hosted by Vinkius?

Yes, Vinkius hosts the MCP and manages the execution, so you only need to connect your client once.

How is the next inspection date calculated?

The plan_inspection_interval capability calculates the date by modeling the time it takes for a detected flaw to reach a critical threshold based on the current degradation rate.

Can I determine which capability to use for corrosion?

Yes, using determine_tool_requirements with a target flaw type of 'corrosion' will recommend appropriate capabilities like MFL or UT.

How accurate are the predicted findings?

The predict_inspection_findings capability generates forecasts by projecting historical flaw data forward using established degradation models.

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Connect Smart Pig Inspection Planning 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. Optimize pipeline integrity through physics-based inspection modeling.

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 Smart Pig Inspection Planning.

01
Determine tool requirements
This capability identifies the specific capability types and sensitivity levels needed for a given pipeline segment.
02
Evaluate inspection risk
Use this to get a risk profile for your current inspection plan.
03
Plan inspection interval
This capability calculates the optimal time window before your next required inspection.
04
Predict inspection findings
This capability forecasts the specific types and amounts of defects you will likely encounter during an inspection.

Real work

What teams actually run

Optimizing Inspection Frequency

Determine if you can safely extend the time between pigging runs based on current degradation rates.

Capability Specification

Identify whether MFL or UT capabilities are required for a specific segment to ensure defect detection.

Risk Mitigation

Check if a proposed inspection interval carries a high risk score for a specific pipeline.

Pre-Inspection Planning

Forecast the types of defects likely to be found to prepare repair crews.

One connector, every AI

Smart Pig Inspection Planning 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 Smart Pig Inspection Planning 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

849ms average. Fast in production.

Smart Pig Inspection Planning is checked daily against the live service.

Daily averagePeak 1044ms

Oct 5Today

Fastest day: 744ms
Slowest day: 1044ms
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 Smart Pig Inspection Planning, so you can see the experience inside your AI.

It does not authenticate your account with Smart Pig Inspection Planning. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Smart Pig Inspection Planning Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_9VJ7QsRcnqnQfywKwJiX189nsPMMbT0QIImILaDs/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 — Smart Pig Inspection Planning capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "smart-pig-inspection-planning-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_9VJ7QsRcnqnQfywKwJiX189nsPMMbT0QIImILaDs/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 Smart Pig Inspection Planning in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Smart Pig Inspection Planning owners hand off.

This MCP is built for professionals managing midstream assets and pipeline integrity programs.

01
Pipeline Integrity Engineer
Hands off degradation data to the AI to calculate safe inspection windows.
02
Maintenance Planner
Uses predicted findings to budget for repairs and capability mobilization.
03
Operations Manager
Asks the AI to evaluate the risk levels of current maintenance schedules.

FAQ

Questions Smart Pig Inspection Planning owners ask.

01
What kind of capabilities does this MCP support?
The MCP provides capabilities for determining capability requirements, evaluating risk, planning intervals, and predicting findings.
02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.
03
How does it decide which inspection capability to use?
It uses the determine_tool_requirements capability to match the necessary capability types and sensitivity levels to your specific pipeline segment.
04
Does this help with budgeting for repairs?
Yes, by using the predict_inspection_findings capability, you can forecast the types and quantities of defects expected, which helps in planning resources.
05
Is the data hosted by Vinkius?
Yes, Vinkius hosts the MCP and manages the execution, so you only need to connect your client once.
06
How is the next inspection date calculated?
The plan_inspection_interval capability calculates the date by modeling the time it takes for a detected flaw to reach a critical threshold based on the current degradation rate.
07
Can I determine which capability to use for corrosion?
Yes, using determine_tool_requirements with a target flaw type of 'corrosion' will recommend appropriate capabilities like MFL or UT.
08
How accurate are the predicted findings?
The predict_inspection_findings capability generates forecasts by projecting historical flaw data forward using established degradation models.

Explore

More in Predictive Maintenance

Connect Smart Pig Inspection Planning 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

Determine tool requirements

Evaluate inspection risk

Plan inspection interval

Predict inspection findings

What teams actually run

Optimizing Inspection Frequency

Capability Specification

Risk Mitigation

Pre-Inspection Planning

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

Smart Pig Inspection Planning Connector

Claude Desktop

Pipeline Integrity Engineer

Maintenance Planner

Operations Manager

What kind of capabilities does this MCP support?

Can I use this with Claude or Cursor?

How does it decide which inspection capability to use?

Does this help with budgeting for repairs?

Is the data hosted by Vinkius?

How is the next inspection date calculated?

Can I determine which capability to use for corrosion?

How accurate are the predicted findings?

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