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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Reservoir Characterization Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Analyzes petrophysical data to characterize reservoir properties and flow units.

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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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Reservoir Characterization Model capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Reservoir Characterization Model.

  1. 01

    Analyze property statistics

    Provides a high-level statistical summary of the basic petrophysical properties

  2. 02

    Calculate permeability trends

    Determines the directional flow characteristics of the reservoir

  3. 03

    Evaluate heterogeneity

    Quantifies the complexity and spatial variation of the reservoir

  4. 04

    Identify flow units

    Segments the reservoir into distinct zones that function as unified fluid conduits

One connector, every AI

Reservoir Characterization 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 Reservoir Characterization 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.

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 Reservoir Characterization Model, so you can see the experience inside your AI.

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

Reservoir Characterization Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_NJL2EKTALep9k3AdVsX8LPTabHoYbEWTSpWZuXw2/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 — Reservoir Characterization Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "reservoir-characterization-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_NJL2EKTALep9k3AdVsX8LPTabHoYbEWTSpWZuXw2/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 Reservoir Characterization Model owners ask.

  • 01

    What kind of data does this model require?

    The model requires petrophysical measurements such as porosity, permeability, and saturation data, along with lithology information for segmentation.

  • 02

    How can I identify flow units in my reservoir?

    You can use the identify_flow_units capability, providing porosity and permeability arrays along with the specific lithology type.

  • 03

    Can I assess reservoir heterogeneity?

    Yes, the evaluate_heterogeneity capability allows you to quantify spatial variation using property data, correlation length, and anisotropy ratios.

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