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Connect Choke Performance Model to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get precise wellhead flow and pressure data through your AI client.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

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.

Real work

What teams actually run

01

Wellhead Optimization

Determine if a choke is being used efficiently based on current pressures.

02

Flow Regime Monitoring

Check if changing wellhead pressures will shift the flow from critical to subcritical.

03

Pressure Management

Calculate the exact pressure drop to ensure downstream equipment stays within limits.

04

Multiphase Stream Analysis

Model how gas-liquid ratios impact the mass flow rate through the orifice.

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.

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 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

875ms average. Fast in production.

Choke Performance Model is checked daily against the live service.

Daily averagePeak 1081ms
Oct 3Today
Fastest day
718ms
Slowest day
1081ms
14-day trend
Slowing+15%

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? Set up Choke Performance Model in Claude and other AIs

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.

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