ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Choke Performance Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Get precise wellhead flow and pressure data through your AI client.

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 Choke Performance Model capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Choke Performance Model.

  1. 01

    Analyze choke efficiency

    This capability evaluates how effectively your current choke size and pressures are using the available orifice capacity.

  2. 02

    Calculate flow rate

    Use this to find the specific volume or mass flow rate of the fluid moving through the choke.

  3. 03

    Calculate flow regime

    This capability determines if your wellhead conditions are resulting in critical or subcritical flow.

  4. 04

    Calculate pressure drop

    This capability calculates the exact magnitude of pressure reduction occurring across the choke.

One connector, every AI

Choke Performance 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 Choke Performance 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.

Observed, not estimated

970ms average. Fast in production.

Choke Performance Model is checked daily against the live service.

Daily averagePeak 970ms
Sep 11Today
Fastest day
970ms
Slowest day
970ms
14-day trend
Stable0%

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 Choke Performance Model, so you can see the experience inside your AI.

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

Choke Performance Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_P1FY6887acv2QBtlKDMJf2DA7OuqQ8sUsEIUGGZ2/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 — Choke Performance Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "choke-performance-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_P1FY6887acv2QBtlKDMJf2DA7OuqQ8sUsEIUGGZ2/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 ↑

Who it's for

Built for the work Choke Performance Model owners hand off.

This MCP is built for petroleum and production engineers who need fast, physics-based answers during wellhead analysis.

  • 01

    Production Engineer

    Hands off wellhead pressure and GLR data to the AI to get instant flow calculations.

  • 02

    Reservoir Engineer

    Uses the capability to model how fluid properties affect choke performance.

  • 03

    Field Operator

    Checks flow regimes and pressure drops to monitor wellhead stability.

FAQ

Questions Choke Performance Model owners ask.

  • 01

    How does this MCP handle multiphase fluids?

    It uses physics-based equations that account for fluid compressibility and gas-liquid ratios (GLR).

  • 02

    Can I use this with Cursor or VS Code?

    Yes, any MCP-compatible client like Cursor, VS Code, or Claude can use this capability once connected via Vinkius.

  • 03

    What kind of flow regimes can it identify?

    The MCP can determine whether wellhead conditions result in critical or subcritical flow.

  • 04

    Does it calculate mass or volume flow?

    It can calculate both the volume and mass flow rates of the fluid passing through the choke.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after connection.

  • 06

    What is the difference between critical and subcritical flow?

    Critical flow occurs when the downstream pressure is low enough that the fluid reaches sonic velocity at the choke throat, making the flow rate independent of downstream pressure. Subcritical flow occurs when downstream pressure is high enough to prevent sonic velocity.

  • 07

    How does this capability handle multiphase fluids?

    The capability accounts for multiphase characteristics by requiring fluid properties such as the gas-liquid ratio and compressibility in the input parameters.

  • 08

    Can I use this with Claude Desktop?

    Yes, this MCP server can be connected to Claude Desktop, Cursor, VS Code, Windsurf, and any other MCP-compatible client via Vinkius Edge.