Use Water Coning Model with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predict water coning behavior and breakthrough timing in oil reservoirs.
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.
Complete set · 4 capabilities
The complete Water Coning Model capability set.
These are the exact actions your AI can choose when you ask it to work with Water Coning Model.
01-04
4 capabilities in this set.
Part of 4 available through Water Coning Model.
- 01
Analyze well geometry impact
Evaluates impact of horizontal vs vertical well configuration
- 02
Calculate water cut evolution
Predicts volume of water relative to oil over time
- 03
Get critical coning rate
Determines the maximum safe production rate
- 04
Predict breakthrough time
Estimates time until water reaches wellbore
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.
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? link.label
FAQ
Questions Water Coning Model owners ask.
- 01
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.
- 02
Can I model horizontal wells?
Yes, the analyze_well_geometry_impact capability evaluates how horizontal well configurations reduce coning risks compared to vertical wells.
- 03
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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