What kind of data does this MCP need?

The MCP requires water chemistry data, specifically ion concentrations, along with temperature and pressure readings.

Can I use this with Claude or Cursor?

Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.

How does it help with seawater injection?

The predict_mixing_impact capability forecasts how the introduction of seawater will change the scaling risk in your system.

Does it recommend specific chemicals?

Yes, the recommend_inhibitor capability provides specific guidance on which chemical intervention and dosage to use.

What minerals can it analyze?

The capability can determine the saturation index for minerals like CaCO3 and BaSO4.

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.

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.

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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Connect Scale Prediction 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 mineral scale formation using water chemistry data.

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.

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.

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 Scale Prediction Model.

01
Predict mixing impact
This capability forecasts how introducing a second water source changes your scaling risk. It's useful for predicting the impact of seawater injection on existing formation water.
02
Get saturation analysis
This capability calculates the thermodynamic state of specific minerals. It uses your current water chemistry and environmental data to find the saturation index.
03
Recommend inhibitor
This capability suggests the best chemical intervention for a specific scale. It provides guidance on the type of inhibitor and the necessary dosage.
04
Evaluate operational risk
This capability provides a high-level summary of scaling risks. It looks at a range of operating conditions to identify potential issues.

Real work

What teams actually run

Seawater Injection Planning

Predict how mixing seawater with formation water will change your scaling risk profile.

Inhibitor Optimization

Get specific chemical dosage suggestions to prevent identified mineral scales.

Production Stability

Find the pressure and temperature limits needed to avoid mineral precipitation.

Water Chemistry Monitoring

Analyze ion concentrations to determine the current thermodynamic state of minerals.

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.

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

946ms average. Fast in production.

Scale Prediction Model is checked daily against the live service.

Daily averagePeak 1081ms

Oct 3Today

Fastest day: 748ms
Slowest day: 1081ms
14-day trend: Improving-5%

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.

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 — 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? Set up Scale Prediction Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Scale Prediction Model owners hand off.

This MCP is built for professionals managing water chemistry in oil and gas operations.

01
Production Engineer
Uses the MCP to monitor scaling risks and adjust operating parameters.
02
Water Management Specialist
Hands off water chemistry data to the AI to predict mixing impacts.
03
Chemical Engineer
Relies on the capability for specific inhibitor and dosage recommendations.

FAQ

Questions Scale Prediction Model owners ask.

01
What kind of data does this MCP need?
The MCP requires water chemistry data, specifically ion concentrations, along with temperature and pressure readings.
02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.
03
How does it help with seawater injection?
The predict_mixing_impact capability forecasts how the introduction of seawater will change the scaling risk in your system.
04
Does it recommend specific chemicals?
Yes, the recommend_inhibitor capability provides specific guidance on which chemical intervention and dosage to use.
05
What minerals can it analyze?
The capability can determine the saturation index for minerals like CaCO3 and BaSO4.
06
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.
07
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.
08
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.

Explore

More in Chemistry

Connect Scale Prediction Model to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Predict mixing impact

Get saturation analysis

Recommend inhibitor

Evaluate operational risk

What teams actually run

Seawater Injection Planning

Inhibitor Optimization

Production Stability

Water Chemistry Monitoring

Building your own app? The connector is yours to use.

Scale Prediction Model Connector

Claude Desktop

Production Engineer

Water Management Specialist

Chemical Engineer

What kind of data does this MCP need?

Can I use this with Claude or Cursor?

How does it help with seawater injection?

Does it recommend specific chemicals?

What minerals can it analyze?

What kind of scale can this model predict?

How does the model handle water mixing scenarios?

Can I get chemical dosage recommendations?

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