What kind of data does this MCP use?

The MCP processes petrophysical data, specifically core and log data involving porosity, permeability, and saturation.

Which AI clients can I use with this MCP?

You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

How does it help with reservoir modeling?

It helps by identifying flow units, calculating permeability trends, and quantifying spatial heterogeneity.

Do I need to host the MCP myself?

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

Can it identify fluid conduits?

Yes, the identify_flow_units capability segments the reservoir into zones that function as unified fluid conduits.

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.

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.

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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Connect Reservoir Characterization Model to your AI

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. Turn raw petrophysical data into clear reservoir models.

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 Reservoir Characterization Model.

01
Analyze property statistics
This capability provides a high-level statistical summary of basic petrophysical properties. It gives your agent a quick look at the mean and distribution of your data.
02
Calculate permeability trends
This capability determines the directional flow characteristics of the reservoir. It helps you understand how fluid moves through the rock structure.
03
Evaluate heterogeneity
This capability quantifies the complexity and spatial variation within the reservoir. It measures how much properties change across different locations.
04
Identify flow units
This capability segments the reservoir into distinct zones. It finds the specific areas that function as unified fluid conduits.

Real work

What teams actually run

Rapid Data Summarization

Get quick statistical snapshots of porosity and permeability from large datasets.

Flow Unit Identification

Segment a sandstone reservoir into functional zones based on petrophysical properties.

Permeability Ratio Calculation

Determine if a reservoir has preferred horizontal or vertical flow patterns.

Complexity Mapping

Quantify how much a reservoir varies spatially to improve model accuracy.

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.

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.

Observed, not estimated

921ms average. Fast in production.

Reservoir Characterization Model is checked daily against the live service.

Daily averagePeak 1093ms

Oct 3Today

Fastest day: 772ms
Slowest day: 1093ms
14-day trend: Improving-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 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.

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 — 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? Set up Reservoir Characterization Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Reservoir Characterization Model owners hand off.

This MCP is built for professionals working in subsurface characterization and reservoir engineering.

01
Petrophysicists
Hand off raw log and core data to the AI to get rapid statistical summaries.
02
Reservoir Engineers
Use the capability to define flow units and permeability trends for modeling.
03
Geologists
Let the agent quantify spatial heterogeneity and reservoir complexity.

FAQ

Questions Reservoir Characterization Model owners ask.

01
What kind of data does this MCP use?
The MCP processes petrophysical data, specifically core and log data involving porosity, permeability, and saturation.
02
Which AI clients can I use with this MCP?
You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.
03
How does it help with reservoir modeling?
It helps by identifying flow units, calculating permeability trends, and quantifying spatial heterogeneity.
04
Do I need to host the MCP myself?
No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.
05
Can it identify fluid conduits?
Yes, the identify_flow_units capability segments the reservoir into zones that function as unified fluid conduits.
06
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.
07
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.
08
Can I assess reservoir heterogeneity?
Yes, the evaluate_heterogeneity capability allows you to quantify spatial variation using property data, correlation length, and anisotropy ratios.

Explore

More in Energy

Connect Reservoir Characterization 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 property statistics

Calculate permeability trends

Evaluate heterogeneity

Identify flow units

What teams actually run

Rapid Data Summarization

Flow Unit Identification

Permeability Ratio Calculation

Complexity Mapping

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

Reservoir Characterization Model Connector

Claude Desktop

Petrophysicists

Reservoir Engineers

Geologists

What kind of data does this MCP use?

Which AI clients can I use with this MCP?

How does it help with reservoir modeling?

Do I need to host the MCP myself?

Can it identify fluid conduits?

What kind of data does this model require?

How can I identify flow units in my reservoir?

Can I assess reservoir heterogeneity?

Reservoir Permeability Estimator AI Connector

Reservoir Heterogeneity Index AI Connector

Reservoir Simulation Upscaling AI Connector

Relative Permeability Engine AI Connector

Suggestions

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