
Connect Water 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. Predict water breakthrough and optimize reservoir production rates.
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.
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.

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.
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.
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.
01-04
4 capabilities in this set.
Part of 4 available through Water Coning Model.
- 01
Analyze well geometry impact
This capability evaluates how horizontal versus vertical well configurations change coning risks. It helps you decide which geometry minimizes water interference.
- 02
Calculate water cut evolution
This capability predicts the volume of water relative to oil over time. It tracks how fluid composition shifts during production.
- 03
Get critical coning rate
This capability determines the maximum safe production rate for a reservoir. It identifies the threshold to maintain stable oil production.
- 04
Predict breakthrough time
This capability estimates the time remaining until water reaches the wellbore. It provides a timeline for anticipated water arrival.
Real work
What teams actually run
Well Design Selection
Compare horizontal and vertical well impacts on coning before drilling.
Production Limit Setting
Find the maximum barrels per day allowed to keep water coning under control.
Breakthrough Planning
Estimate when water will hit the wellbore to prepare for increased water handling.
Fluid Ratio Monitoring
Predict how the water cut will evolve as the reservoir matures.
One connector, every AI
Water 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Water 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
942ms average. Fast in production.
Water Coning Model is checked daily against the live service.
- Fastest day
- 733ms
- Slowest day
- 1059ms
- 14-day trend
- Improving-10%
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 Water Coning Model, so you can see the experience inside your AI.
It does not authenticate your account with Water Coning Model. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Water Coning Model Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_FNWV0hNE8Zv9NJXsOyUBPg5EDfxk7TBach7AJTqH/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Water Coning Model capabilities are ready to use.
{
"mcpServers": {
"water-coning-model-mcp": {
"url": "https://edge.vinkius.com/vk_preview_FNWV0hNE8Zv9NJXsOyUBPg5EDfxk7TBach7AJTqH/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 Water Coning Model in Claude and other AIs
Who it's for
Built for the work Water Coning Model owners hand off.
This MCP is built for professionals managing oil reservoirs with bottom water concerns. You hand off reservoir parameters to your agent to get rapid coning predictions.
- 01
Petroleum Engineer
Uses the MCP to set safe production limits and plan well completions.
- 02
Reservoir Engineer
Employs the capabilities to model fluid evolution and breakthrough timelines.
- 03
Production Engineer
Relies on coning rate data to optimize daily well output.
FAQ
Questions Water Coning Model owners ask.
- 01
What can this MCP do for reservoir management?
It predicts water coning behavior, calculates critical production rates, and estimates water breakthrough timing.
- 02
How do I use this with Claude or Cursor?
You connect your client to Vinkius once. After that, your agent can call the coning capabilities directly within your existing workflow.
- 03
Can I compare horizontal and vertical wells?
Yes, the analyze_well_geometry_impact capability specifically evaluates how different well configurations affect coning risks.
- 04
Does this help with water cut predictions?
Yes, the calculate_water_cut_evolution capability models the volume of water relative to oil over time.
- 05
Is there a way to find the maximum safe production rate?
You use the get_critical_coning_rate capability to determine the threshold for stable production.
- 06
How do I prevent water coning?
You can use the get_critical_coning_rate capability to determine the maximum safe production rate that keeps the water-oil interface stable.
- 07
Can I model horizontal wells?
Yes, the analyze_well_geometry_impact capability evaluates how horizontal well configurations reduce coning risks compared to vertical wells.
- 08
How is water breakthrough predicted?
The predict_breakthrough_time capability estimates the duration until water reaches the wellbore based on production rates and critical coning thresholds.
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Connect Water Coning Model to Claude, Cursor, ChatGPT & more
