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Connect Wax Deposition Predictor 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. Manage paraffin buildup and optimize pipeline maintenance schedules.

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 Wax Deposition Model.

  1. 01

    Calculate wat

    This capability finds the temperature threshold where wax begins to precipitate in the fluid.

  2. 02

    Analyze shear effects

    This capability evaluates how fluid flow and shear forces strip away or redistribute the wax layer.

  3. 03

    Estimate pigging interval

    This capability recommends how often you should run a pig to prevent pipeline failure.

  4. 04

    Predict deposition rate

    This capability estimates the speed of wax accumulation at specific locations in your system.

Real work

What teams actually run

01

Subsea Pipeline Monitoring

Predict wax buildup in deepwater environments where access is difficult.

02

Onshore Pipeline Maintenance

Schedule cleaning runs for land-based crude oil transport lines.

03

Crude Oil Composition Analysis

Determine the Wax Appearance Temperature for new oil blends.

04

Flow Restriction Prevention

Use deposition rates to avoid sudden drops in flow capacity.

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.

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 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

910ms average. Fast in production.

Wax Deposition Model is checked daily against the live service.

Daily averagePeak 1151ms
Oct 3Today
Fastest day
730ms
Slowest day
1151ms
14-day trend
Stable-2%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_EJks8XzRmvuQMGrlcZUFzEHELnYzaxxl9Z1Xbijx/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 — Wax Deposition Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "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? Set up Wax Deposition Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Wax Deposition Model owners hand off.

This MCP is built for engineers managing crude oil transport and pipeline integrity.

  • 01

    Pipeline Engineer

    Hands off fluid dynamics data to the AI to generate maintenance schedules.

  • 02

    Flow Assurance Engineer

    Uses the MCP to model wax deposition risks in subsea or onshore lines.

  • 03

    Operations Manager

    Relies on predicted pigging intervals to plan field activities.

FAQ

Questions Wax Deposition Model owners ask.

  • 01

    How does this MCP help with pipeline maintenance?

    It calculates the deposition rate and recommends pigging intervals to prevent operational failures.

  • 02

    Can I use this for subsea pipelines?

    Yes, the capabilities are designed to help manage wax in both subsea and onshore pipeline systems.

  • 03

    What kind of data do I need to provide?

    You can provide paraffin content, temperature profiles, flow rates, and pipe diameters to get specific results.

  • 04

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 05

    Does this capability account for fluid flow?

    Yes, the analyze_shear_effects capability evaluates how fluid flow impacts the wax layer.

  • 06

    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.

  • 07

    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.

  • 08

    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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