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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Pipeline Compressor Station with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Design pipeline compressor stations by calculating equipment scale, power, and fuel needs.

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 Pipeline Compressor Station capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Pipeline Compressor Station.

  1. 01

    Calculate station requirements

    Determines the fundamental equipment scale and power needs for a proposed station

  2. 02

    Estimate fuel consumption

    Predicts the fuel required to operate the station at a specific design point

  3. 03

    Optimize unit configuration

    Recommends the best balance between active units and standby units to minimize costs while maintaining reliability

  4. 04

    Validate station spacing

    Checks if the proposed station spacing is technically viable for the given pressure requirements

One connector, every AI

Pipeline Compressor Station 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Pipeline Compressor Station 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 Compressor Station, so you can see the experience inside your AI.

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

Pipeline Compressor Station Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Nr4DcwSimj4Ub4TfAjrrzVEreLpGpLGRYi6iEAEj/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 Compressor Station capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pipeline-compressor-station-designer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Nr4DcwSimj4Ub4TfAjrrzVEreLpGpLGRYi6iEAEj/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 Compressor Station owners ask.

  • 01

    How do I determine the number of units needed?

    You can use the calculate_station_requirements capability, which takes flow rate, pressure differential, and spacing as inputs to determine the total and active units.

  • 02

    Can I optimize for fuel efficiency?

    Yes, by using estimate_fuel_consumption and accounting for variable speed operation, you can predict fuel needs and optimize for efficiency.

  • 03

    How is station spacing validated?

    The validate_station_spacing capability checks if the pressure drop over the proposed distance stays within the allowed pressure differential.

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