ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Buckley-Leverett Simulator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict waterflood breakthrough and saturation profiles in porous media.

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 Buckley-Leverett Simulator capability set.

These are the exact actions your AI can choose when you ask it to work with Buckley-Leverett Simulator.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Buckley-Leverett Simulator.

  1. 01

    Analyze saturation profile

    This capability predicts how water saturation is distributed across the reservoir at a specific point in time.

  2. 02

    Calculate breakthrough

    Use this to find out exactly when the water front will reach the production end of the reservoir.

  3. 03

    Estimate sweep efficiency

    This capability evaluates how effectively the displacement process is working at a given time.

  4. 04

    Get fractional flow curve

    This capability generates fractional flow values for a specific range of water saturations.

One connector, every AI

Buckley-Leverett Simulator 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 Buckley-Leverett Simulator 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

890ms average. Fast in production.

Buckley-Leverett Simulator is checked daily against the live service.

Daily averagePeak 890ms
Sep 11Today
Fastest day
890ms
Slowest day
890ms
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 Buckley-Leverett Simulator, so you can see the experience inside your AI.

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

Buckley-Leverett Simulator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_VlNvrdohRX3zokeCM8y9X3vjqzK8L9AtDDArdDjI/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 — Buckley-Leverett Simulator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "buckley-leverett-displacement-simulator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_VlNvrdohRX3zokeCM8y9X3vjqzK8L9AtDDArdDjI/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 Buckley-Leverett Simulator owners hand off.

This MCP is built for professionals working in reservoir management and petroleum engineering.

  • 01

    Reservoir Engineers

    They hand off fluid property data and reservoir dimensions to the agent to get rapid simulation results.

  • 02

    Petroleum Engineers

    They use the capability to predict water breakthrough and optimize waterflood timing.

  • 03

    Data Scientists in Energy

    They integrate these simulation capabilities into larger fluid dynamics workflows.

FAQ

Questions Buckley-Leverett Simulator owners ask.

  • 01

    What theory does this MCP use for simulations?

    This MCP implements Buckley-Leverett theory to model water displacement in porous media.

  • 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

    What kind of data do I need to provide?

    You typically need to provide reservoir dimensions, injection rates, fluid viscosities, and relative permeability data.

  • 04

    Does this MCP handle fractional flow?

    Yes, it includes a capability to generate fractional flow curves for a range of water saturations.

  • 05

    How does it calculate sweep efficiency?

    The capability evaluates the effectiveness of the displacement process at a specific time based on the provided parameters.

  • 06

    How can I predict when water will reach my production well?

    You can use the calculate_breakthrough capability. By providing the reservoir length, injection rate, and fluid viscosities, the capability determines the exact breakthrough time and saturation.

  • 07

    Can I visualize the water saturation movement?

    Yes, the analyze_saturation_profile capability calculates the spatial distribution of water saturation across the reservoir at any given time.

  • 08

    What parameters are required for the simulation?

    The simulation requires the reservoir length, injection rate, water and oil viscosities, and a JSON string containing the relative permeability data.