ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Pipeline Batch Tracking with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Monitor product batch positions, transmix volumes, and delivery timing in liquid pipelines.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Pipeline Batch Tracking capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Pipeline Batch Tracking.

  1. 01

    Analyze pipeline compressibility

    Evaluates how much the product volume is expanding or contracting due to pressure variations

  2. 02

    Calculate interface volumes

    Identifies the volume of mixed product (transmix) generated at the boundaries between different product batches

  3. 03

    Estimate delivery timing

    Predicts when a specific batch or interface will reach the delivery terminal

  4. 04

    Get batch positions

    Determines the current location of all active product batches within the pipeline

One connector, every AI

Pipeline Batch Tracking 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 Batch Tracking 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 Batch Tracking, so you can see the experience inside your AI.

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

Pipeline Batch Tracking Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_M7ip0HjD3E9KCxDYoPEBLS6um87KvZELzD4WTvKb/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 Batch Tracking capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pipeline-batch-tracking-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_M7ip0HjD3E9KCxDYoPEBLS6um87KvZELzD4WTvKb/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 Batch Tracking owners ask.

  • 01

    How accurate are the batch position calculations?

    Positions are calculated using the current flow rate and cumulative injected volumes, providing real-time distance tracking from the injection point.

  • 02

    Can I predict when a batch will arrive at the terminal?

    Yes, you can use the estimation capabilities to predict arrival times based on distance, flow rate, and line pack adjustments.

  • 03

    How is transmix volume handled?

    The system identifies the volume of mixed products at batch boundaries by applying a mixing factor to the interface between adjacent products.