Use Wax Deposition Model with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Predicts wax buildup in oil pipelines and wells to optimize maintenance.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete Wax Deposition Model capability set.
These are the exact actions your AI can choose when you ask it to work with Wax Deposition Model.
01-04
4 capabilities in this set.
Part of 4 available through Wax Deposition Model.
- 01
Calculate wat
Determines the temperature threshold where wax starts to precipitate
- 02
Analyze shear effects
Evaluates how much the fluid flow (shear) is stripping away or redistributing the wax layer
- 03
Estimate pigging interval
Recommends how often the pipeline should be cleaned to prevent operational failure
- 04
Predict deposition rate
Estimates how fast wax is accumulating at specific points in the system
One connector, every AI
Wax Deposition 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 Wax Deposition 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
807ms average. Fast in production.
Wax Deposition Model is checked daily against the live service.
- Fastest day
- 766ms
- Slowest day
- 1106ms
- 14-day trend
- Improving-31%
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 Wax Deposition Model, so you can see the experience inside your AI.
It does not authenticate your account with Wax Deposition Model. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Wax Deposition Model Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_EJks8XzRmvuQMGrlcZUFzEHELnYzaxxl9Z1Xbijx/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 — Wax Deposition Model capabilities are ready to use.
{
"mcpServers": {
"wax-deposition-predictor-mcp": {
"url": "https://edge.vinkius.com/vk_preview_EJks8XzRmvuQMGrlcZUFzEHELnYzaxxl9Z1Xbijx/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 Wax Deposition Model owners ask.
- 01
How do I determine when to clean my pipeline?
You can use the estimate_pigging_interval capability. By providing the calculated deposition rates and the critical thickness threshold, the capability recommends a maintenance interval to prevent operational failure.
- 02
What is the Wax Appearance Temperature (WAT)?
The WAT is the temperature threshold where wax crystals begin to precipitate from the crude oil. You can find this value using the calculate_wat capability by providing the crude oil composition.
- 03
Can this capability account for fluid flow effects?
Yes, the analyze_shear_effects capability evaluates how fluid flow (shear) strips away or redistributes the wax layer based on flow rate, pipe diameter, and viscosity.
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