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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Scale Prediction Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predicts mineral scale formation in oilfield operations using water chemistry and environmental data.

Included with plan

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

Complete set · 4 capabilities

The complete Scale Prediction Model capability set.

These are the exact actions your AI can choose when you ask it to work with Scale Prediction Model.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Scale Prediction Model.

  1. 01

    Predict mixing impact

    Predicts how the introduction of a second water source will affect scale formation

  2. 02

    Get saturation analysis

    Determines the thermodynamic state of specific minerals based on current water chemistry and environmental conditions

  3. 03

    Recommend inhibitor

    Suggests the optimal chemical intervention to prevent the identified scale

  4. 04

    Evaluate operational risk

    Provides a high-level summary of scaling risk across a range of operating conditions

One connector, every AI

Scale Prediction 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 Scale Prediction 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

863ms average. Fast in production.

Scale Prediction Model is checked daily against the live service.

Daily averagePeak 1050ms
Sep 11Today
Fastest day
799ms
Slowest day
1050ms
14-day trend
Improving-24%

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 Scale Prediction Model, so you can see the experience inside your AI.

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

Scale Prediction Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_jRNFc64QZyuRJWrQwJNmFLVrNa4Wchr71RLLujlB/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 — Scale Prediction Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "scale-prediction-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_jRNFc64QZyuRJWrQwJNmFLVrNa4Wchr71RLLujlB/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

See all the AI clients this connector works with ↑

FAQ

Questions Scale Prediction Model owners ask.

  • 01

    What kind of scale can this model predict?

    The model predicts common oilfield scales including Calcium Carbonate (CaCO3), Barium Sulfate (BaSO4), and Calcium Sulfate (CaSO4) using get_saturation_analysis.

  • 02

    How does the model handle water mixing scenarios?

    You can use the predict_mixing_impact capability to simulate how mixing primary formation water with secondary sources like seawater changes the scaling tendency.

  • 03

    Can I get chemical dosage recommendations?

    Yes, the recommend_inhibitor capability provides the optimal inhibitor type and the required dosage in ppm based on the saturation index.

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