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Connect Gas Coning Model to ChatGPT, Claude and Gemini

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. Manage gas breakthrough risks and optimize well production rates.

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 Gas Coning Model.

  1. 01

    Calculate critical rate

    This capability finds the maximum production rate you can maintain without triggering gas coning. It provides the specific threshold to keep gas breakthrough at bay.

  2. 02

    Evaluate well placement

    This capability analyzes how different well completion locations affect coning risks. It accounts for reservoir thickness and anisotropy to help you pick the best spot.

  3. 03

    Predict breakthrough

    This capability estimates the timeframe for gas reaching the wellbore. It gives you a window of time before gas breakthrough occurs based on your current production.

  4. 04

    Simulate gor evolution

    This capability models the progression of the gas-oil ratio throughout the production lifecycle. It shows how the GOR will trend as you produce from the reservoir.

Real work

What teams actually run

01

Preventing Gas Breakthrough

Calculate the maximum safe rate to avoid early gas coning in a new well.

02

Well Placement Planning

Test how different perforation depths and locations affect coning risk.

03

Production Forecasting

Model the GOR evolution to prepare for changing fluid ratios over time.

04

Risk Assessment

Estimate the days remaining until gas reaches the wellbore at current rates.

One connector, every AI

Gas Coning 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 Gas Coning 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

869ms average. Fast in production.

Gas Coning Model is checked daily against the live service.

Daily averagePeak 1125ms
Oct 3Today
Fastest day
729ms
Slowest day
1125ms
14-day trend
Slowing+5%

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 Gas Coning Model, so you can see the experience inside your AI.

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

Gas Coning Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_QraZvXPgnPf86vqg1qu9KM6VtG9NKVAvUMQXGKzk/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 — Gas Coning Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "gas-coning-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_QraZvXPgnPf86vqg1qu9KM6VtG9NKVAvUMQXGKzk/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 Gas Coning Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Gas Coning Model owners hand off.

This MCP is built for petroleum engineers working with gas cap reservoirs. You can hand off the mathematical modeling and simulation tasks to your AI agent.

  • 01

    Reservoir Engineer

    Uses the MCP to model gas coning risks and optimize production rates.

  • 02

    Production Engineer

    Uses the capability to monitor GOR trends and manage breakthrough timing.

  • 03

    Petroleum Engineer

    Uses the MCP to evaluate well placement and completion strategies.

FAQ

Questions Gas Coning Model owners ask.

  • 01

    What can this MCP do for reservoir engineers?

    It provides capabilities to calculate critical production rates, predict gas breakthrough timing, model GOR evolution, and evaluate well placement.

  • 02

    How do I use this with Claude or Cursor?

    You connect your client to Vinkius once, and the capabilities become available as functions your agent can call directly within your existing workflow.

  • 03

    Does this MCP handle anisotropy?

    Yes, the evaluate_well_placement capability uses reservoir anisotropy and thickness to help optimize well design.

  • 04

    Can I predict when gas will hit my well?

    Yes, you can use the predict_breakthrough capability to estimate when gas will first reach the wellbore.

  • 05

    Is the GOR modeling real-time?

    The simulate_gor_evolution capability models the progression of the gas-oil ratio over a production lifecycle based on the parameters you provide.

  • 06

    How do I prevent gas coning?

    You can use calculate_critical_rate to find the maximum safe production rate that minimizes gas coning risk.

  • 07

    Can I predict when gas will reach my well?

    Yes, the predict_breakthrough capability estimates the time until gas reaches the wellbore based on your production rate and reservoir properties.

  • 08

    How does well placement affect coning?

    The evaluate_well_placement capability analyzes how perforation intervals and gas cap thickness influence the risk score and provides a recommended offset.

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