What can this MCP do for reservoir modeling?

It predicts asphaltene precipitation and deposition in reservoirs and wellbores using thermodynamic modeling.

Which AI clients can use this MCP?

You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.

How does the MCP help with deposition mitigation?

The capability can suggest actionable strategies to prevent or remediate deposition once risks are identified.

Can I calculate how fast solids will build up?

Yes, the calculate_deposition_rate capability estimates the speed at which asphaltene solids accumulate on surfaces.

Do I need to host the MCP myself?

No, Vinkius hosts and manages the MCP for you, so it is ready to use once you connect your client.

How does the model determine deposition risk?

The model uses map_deposition_zones to evaluate how pressure and temperature changes move the fluid through the asphaltene instability zone.

Can I get mitigation strategies?

Yes, the suggest_mitigation_plan capability provides actionable strategies based on current risk levels and operational constraints.

What inputs are required for stability analysis?

To use analyze_stability_profile, you must provide the oil composition, current system pressure, and current system temperature.

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Connect Asphaltene Deposition Model 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. Predict fluid instability and manage deposition risks in real time.

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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 Asphaltene Deposition Model.

01
Analyze stability profile
This capability determines if a specific fluid composition remains stable under your current pressure and temperature conditions.
02
Calculate deposition rate
Use this to estimate how fast asphaltene solids will accumulate on surfaces like pipes or wellbore walls.
03
Map deposition zones
This capability identifies the specific physical or operational locations where asphaltene precipitation is most likely to happen.
04
Suggest mitigation plan
This capability provides actionable strategies to prevent or fix deposition issues in your production environment.

Real work

What teams actually run

Wellbore Risk Assessment

Identify exactly where pressure drops will trigger asphaltene precipitation in a wellbore.

Fluid Stability Testing

Check if a new oil composition will remain stable under reservoir conditions.

Maintenance Planning

Calculate deposition rates to schedule cleaning or chemical treatments before blockages occur.

Mitigation Strategy Development

Create a plan to manage deposition risks based on predicted instability profiles.

One connector, every AI

Asphaltene 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.

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

You don't need a client to put Asphaltene 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

887ms average. Fast in production.

Asphaltene Deposition Model is checked daily against the live service.

Daily averagePeak 1175ms

Oct 3Today

Fastest day: 791ms
Slowest day: 1175ms
14-day trend: Slowing+6%

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 Asphaltene Deposition Model, so you can see the experience inside your AI.

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

Asphaltene Deposition Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_ooixfsp0xHvY7zNwFfsocrqhNLE5HGP6qEwRmkoW/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 — Asphaltene Deposition Model capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "asphaltene-deposition-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ooixfsp0xHvY7zNwFfsocrqhNLE5HGP6qEwRmkoW/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 Asphaltene Deposition Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Asphaltene Deposition Model owners hand off.

This MCP is built for petroleum engineers and reservoir specialists who need to model fluid behavior within their AI workflows.

01
Reservoir Engineer
Uses the MCP to model fluid stability and predict deposition risks in the reservoir.
02
Production Engineer
Hands off flow data to the AI to calculate deposition rates and plan mitigation.
03
Fluid Specialist
Uses the capability to analyze how specific fluid compositions react to pressure changes.

FAQ

Questions Asphaltene Deposition Model owners ask.

01
What can this MCP do for reservoir modeling?
It predicts asphaltene precipitation and deposition in reservoirs and wellbores using thermodynamic modeling.
02
Which AI clients can use this MCP?
You can use this MCP with any compatible client like Claude, Cursor, Windsurf, or VS Code.
03
How does the MCP help with deposition mitigation?
The capability can suggest actionable strategies to prevent or remediate deposition once risks are identified.
04
Can I calculate how fast solids will build up?
Yes, the calculate_deposition_rate capability estimates the speed at which asphaltene solids accumulate on surfaces.
05
Do I need to host the MCP myself?
No, Vinkius hosts and manages the MCP for you, so it is ready to use once you connect your client.
06
How does the model determine deposition risk?
The model uses map_deposition_zones to evaluate how pressure and temperature changes move the fluid through the asphaltene instability zone.
07
Can I get mitigation strategies?
Yes, the suggest_mitigation_plan capability provides actionable strategies based on current risk levels and operational constraints.
08
What inputs are required for stability analysis?
To use analyze_stability_profile, you must provide the oil composition, current system pressure, and current system temperature.

Explore

More in Simulation

Connect Asphaltene Deposition 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

Analyze stability profile

Calculate deposition rate

Map deposition zones

Suggest mitigation plan

What teams actually run

Wellbore Risk Assessment

Fluid Stability Testing

Maintenance Planning

Mitigation Strategy Development

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

Asphaltene Deposition Model Connector

Claude Desktop

Reservoir Engineer

Production Engineer

Fluid Specialist

What can this MCP do for reservoir modeling?

Which AI clients can use this MCP?

How does the MCP help with deposition mitigation?

Can I calculate how fast solids will build up?

Do I need to host the MCP myself?

How does the model determine deposition risk?

Can I get mitigation strategies?

What inputs are required for stability analysis?

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