ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Plant Availability Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Model industrial plant availability, reliability, and production capacity.

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 Plant Availability Model capability set.

These are the exact actions your AI can choose when you ask it to work with Plant Availability Model.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Plant Availability Model.

  1. 01

    Calculate plant availability

    Calculate the current or projected availability percentage of the entire plant

  2. 02

    Get reliability metrics

    Get reliability metrics for a specific piece of equipment based on failure history

  3. 03

    Predict production derating

    Predict how much production capacity will drop due to equipment health and maintenance

  4. 04

    Analyze utilization efficiency

    Analyze how effectively the available capacity of a piece of equipment is being used

One connector, every AI

Plant Availability Model 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 Plant Availability Model 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 Plant Availability Model, so you can see the experience inside your AI.

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

Plant Availability Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Ebsz1l3LM9DMrJ7SHjmqKm8QCatTL7Tc90YzlLD9/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 — Plant Availability Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "plant-availability-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Ebsz1l3LM9DMrJ7SHjmqKm8QCatTL7Tc90YzlLD9/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 Plant Availability Model owners ask.

  • 01

    How is plant availability calculated?

    Availability is calculated by aggregating the uptime of all selected equipment against the total elapsed time in the specified period, accounting for both planned and unplanned downtime.

  • 02

    Can I predict future production losses?

    Yes, you can use the predict_production_derating capability to project how much capacity will drop based on equipment health and scheduled maintenance.

  • 03

    What is MTBF?

    MTBF (Mean Time Between Failures) is a statistical measure of reliability representing the average time elapsed between one failure and the next.