ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Smart Pig Inspection Planning with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Optimize pipeline inspection programs using degradation physics and historical data.

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 Smart Pig Inspection Planning capability set.

These are the exact actions your AI can choose when you ask it to work with Smart Pig Inspection Planning.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Smart Pig Inspection Planning.

  1. 01

    Determine tool requirements

    Identifies which capability types and sensitivity levels are necessary for a specific pipeline segment

  2. 02

    Evaluate inspection risk

    Assesses the risk profile of the current inspection plan

  3. 03

    Plan inspection interval

    Determines the optimal time until the next inspection is required

  4. 04

    Predict inspection findings

    Forecasts the types and quantities of defects likely to be found in the next inspection

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.

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.

  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 — 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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions Smart Pig Inspection Planning owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    How accurate are the predicted findings?

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