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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Asphaltene Predictor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Model crude oil stability and deposition risks with precision.

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 Asphaltene Predictor capability set.

These are the exact actions your AI can choose when you ask it to work with Asphaltene Predictor.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Asphaltene Predictor.

  1. 01

    Get onset pressure

    This capability identifies the specific pressure where asphaltene precipitation starts for a given oil system.

  2. 02

    Evaluate gas injection impact

    Use this to predict how adding a specific gas changes the stability of asphaltenes in the fluid.

  3. 03

    Predict flocculation state

    This capability determines if the current fluid state will cause asphaltenes to aggregate into clusters.

  4. 04

    Assess commingling risk

    This capability evaluates the risk of precipitation when you mix two different crude oils.

One connector, every AI

Asphaltene Predictor 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 Asphaltene Predictor 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

754ms average. Fast in production.

Asphaltene Predictor is checked daily against the live service.

Daily averagePeak 754ms
Sep 12Today
Fastest day
754ms
Slowest day
754ms
14-day trend
Stable0%

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 Predictor, so you can see the experience inside your AI.

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

Asphaltene Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_aNisDQ8kfLvj2reesCQnk4FUI3HzpMfRtdRzRo19/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 — Asphaltene Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "asphaltene-precipitation-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_aNisDQ8kfLvj2reesCQnk4FUI3HzpMfRtdRzRo19/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 ↑

Who it's for

Built for the work Asphaltene Predictor owners hand off.

This MCP is built for petroleum professionals managing fluid stability in production environments.

  • 01

    Reservoir Engineers

    They use the MCP to model how pressure changes in the reservoir affect asphaltene stability.

  • 02

    Production Specialists

    They use the capability to predict deposition risks in flowlines and surface equipment.

  • 03

    Fluid Analysts

    They use the thermodynamic models to assess the impact of gas injection or oil commingling.

FAQ

Questions Asphaltene Predictor owners ask.

  • 01

    What can this MCP do for crude oil analysis?

    It predicts asphaltene onset pressure, flocculation states, gas injection impacts, and commingling risks.

  • 02

    Which AI clients can use this MCP?

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

  • 03

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

  • 04

    Can I use this to predict deposition in flowlines?

    Yes, by using the capabilities to assess flocculation states and onset pressures caused by pressure or temperature changes.

  • 05

    How does it handle gas injection modeling?

    The evaluate_gas_injection_impact capability predicts how a specific gas addition changes the stability of the asphaltenes.

  • 06

    What is the Onset of Precipitation Pressure (OPP)?

    OPP is the specific pressure at which asphaltenes begin to form solid aggregates. You can find this value using the get_onset_pressure capability.

  • 07

    How does gas injection affect asphaltene stability?

    Injecting gases like methane or CO2 can reduce the solubility of asphaltenes. The evaluate_gas_injection_impact capability predicts the resulting stability change.

  • 08

    Can I predict risks when mixing two different oils?

    Yes, the assess_commingling_risk capability evaluates the compatibility and precipitation probability when mixing different crude oil compositions.

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