What can this MCP do for reservoir engineering?

It allows your AI agent to calculate initial oil and gas volumes, analyze drive mechanisms, forecast reservoir performance, and validate PVT consistency.

How do I use this with my AI client?

You connect your client, such as Claude or Cursor, to the Vinkius platform. Once connected, you can simply ask your agent to run reservoir calculations using the provided capabilities.

Can it help with forecasting?

Yes, the predict_reservoir_performance capability allows your agent to forecast future reservoir pressure and cumulative production.

Does it handle drive mechanism analysis?

Yes, the analyze_drive_mechanisms capability identifies and quantifies the relative contributions of different energy sources like water drive or gas cap expansion.

Is the data hosted by Vinkius?

Vinkius hosts the MCP and manages the execution, so you don't have to set up or maintain any local environments.

How do I calculate the initial oil in place?

You can use the calculate_initial_volumes capability by providing the reservoir type, production data, pressure data, PVT properties, and reservoir statistics.

Can this capability identify the primary drive mechanism?

Yes, the analyze_drive_mechanisms capability identifies the relative percentage contribution of solution gas, gas cap, and water drive.

How accurate are the performance forecasts?

Forecasts generated by predict_reservoir_performance follow the trends established by the identified drive mechanisms and current reservoir state.

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Connect Reservoir Material Balance Engine 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. Quantify hydrocarbon volumes and analyze reservoir drive mechanisms.

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 Material Balance.

01
Validate pvt consistency
This capability checks that fluid properties remain physically consistent with the current reservoir conditions.
02
Analyze drive mechanisms
Use this to identify and quantify how much each energy source contributes to the reservoir.
03
Calculate initial volumes
This capability determines the initial amount of oil or gas present in the reservoir.
04
Predict reservoir performance
Your agent uses this to forecast future reservoir pressure and cumulative production levels.

Real work

What teams actually run

Field Development Planning

Use the agent to forecast future pressure and production to inform long term field strategy.

Drive Mechanism Identification

Determine if a reservoir is primarily driven by water, gas cap, or solution gas.

Initial Volume Estimation

Calculate OOIP or OGIP to establish a baseline for reservoir capacity.

Fluid Property Verification

Ensure that the PVT data used in models is physically consistent with the reservoir.

One connector, every AI

Reservoir Material Balance 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 Material Balance 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

893ms average. Fast in production.

Reservoir Material Balance is checked daily against the live service.

Daily averagePeak 1085ms

Oct 3Today

Fastest day: 748ms
Slowest day: 1085ms
14-day trend: Stable+3%

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 Material Balance, so you can see the experience inside your AI.

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

Reservoir Material Balance Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_sOhAJpPWzr8WnYtJ5pSR4yJWzb88enyYIuzeMSXm/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 Material Balance capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "reservoir-material-balance-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_sOhAJpPWzr8WnYtJ5pSR4yJWzb88enyYIuzeMSXm/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 Material Balance in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Reservoir Material Balance owners hand off.

This MCP is built for petroleum engineers and geoscientists who need to automate repetitive reservoir calculations.

01
Reservoir Engineer
Hands off production and pressure data to the agent for material balance calculations.
02
Petroleum Engineer
Uses the agent to quickly forecast reservoir performance and drive mechanisms.
03
Geoscientist
Relies on the agent to validate fluid properties and initial volumes.

FAQ

Questions Reservoir Material Balance owners ask.

01
What can this MCP do for reservoir engineering?
It allows your AI agent to calculate initial oil and gas volumes, analyze drive mechanisms, forecast reservoir performance, and validate PVT consistency.
02
How do I use this with my AI client?
You connect your client, such as Claude or Cursor, to the Vinkius platform. Once connected, you can simply ask your agent to run reservoir calculations using the provided capabilities.
03
Can it help with forecasting?
Yes, the predict_reservoir_performance capability allows your agent to forecast future reservoir pressure and cumulative production.
04
Does it handle drive mechanism analysis?
Yes, the analyze_drive_mechanisms capability identifies and quantifies the relative contributions of different energy sources like water drive or gas cap expansion.
05
Is the data hosted by Vinkius?
Vinkius hosts the MCP and manages the execution, so you don't have to set up or maintain any local environments.
06
How do I calculate the initial oil in place?
You can use the calculate_initial_volumes capability by providing the reservoir type, production data, pressure data, PVT properties, and reservoir statistics.
07
Can this capability identify the primary drive mechanism?
Yes, the analyze_drive_mechanisms capability identifies the relative percentage contribution of solution gas, gas cap, and water drive.
08
How accurate are the performance forecasts?
Forecasts generated by predict_reservoir_performance follow the trends established by the identified drive mechanisms and current reservoir state.

Explore

More in Engineering

Connect Reservoir Material Balance 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

Validate pvt consistency

Analyze drive mechanisms

Calculate initial volumes

Predict reservoir performance

What teams actually run

Field Development Planning

Drive Mechanism Identification

Initial Volume Estimation

Fluid Property Verification

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

Reservoir Material Balance Connector

Claude Desktop

Reservoir Engineer

Petroleum Engineer

Geoscientist

What can this MCP do for reservoir engineering?

How do I use this with my AI client?

Can it help with forecasting?

Does it handle drive mechanism analysis?

Is the data hosted by Vinkius?

How do I calculate the initial oil in place?

Can this capability identify the primary drive mechanism?

How accurate are the performance forecasts?

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