What does this MCP actually calculate?

It calculates prediction intervals, identifies uncertainty drivers through sensitivity ranking, and generates statistical summaries of probability distributions.

Can I use this with Claude or Cursor?

Yes, this MCP works with any MCP-compatible client including Claude, Cursor, and Windsurf.

How does it handle parameter correlations?

The MCP uses parameter correlations to propagate uncertainty and calculate more accurate prediction intervals.

Does it help with model errors?

It helps identify which parameters are the primary drivers of uncertainty, which points you toward where your model is most sensitive.

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.

How do I calculate the range of likely outcomes?

You can use the calculate_prediction_intervals capability by providing your parameter ranges and any existing correlations.

How can I find which parameters impact my model most?

Use the identify_uncertainty_drivers capability to rank parameters based on their sensitivity scores.

Can I check if my input data is logically consistent?

Yes, the validate_parameter_consistency capability checks if your parameter ranges and correlations are physically and logically compatible.

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Connect Reservoir Prediction Uncertainty 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. Calculate confidence intervals and identify key uncertainty drivers.

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 Prediction Uncertainty.

01
Calculate prediction intervals
This capability calculates prediction intervals by processing parameter ranges and correlations.
02
Generate distribution summary
It produces a statistical summary for any given probability distribution.
03
Identify uncertainty drivers
This capability ranks sensitivity to pinpoint which parameters drive the most uncertainty.
04
Validate parameter consistency
It checks if your parameter ranges and correlations are logically compatible.

Real work

What teams actually run

Risk Assessment

Determine the likely range of fluid recovery for a new well based on current data.

Model Sensitivity

Find out if porosity or permeability is the bigger driver of your prediction error.

Data Validation

Ensure your input parameters and correlations are mathematically sound before running simulations.

Statistical Reporting

Get quick mean and standard deviation values for your probability distributions.

One connector, every AI

Reservoir Prediction Uncertainty 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 Prediction Uncertainty 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

1039ms average. Fast in production.

Reservoir Prediction Uncertainty is checked daily against the live service.

Daily averagePeak 1176ms

Oct 3Today

Fastest day: 936ms
Slowest day: 1176ms
14-day trend: Slowing+8%

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 Prediction Uncertainty, so you can see the experience inside your AI.

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

Reservoir Prediction Uncertainty Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_sRj0Pdms1a05U1Qhtp7BARs4YfXyEnVOoOw0pSPw/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 Prediction Uncertainty capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "reservoir-prediction-uncertainty-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_sRj0Pdms1a05U1Qhtp7BARs4YfXyEnVOoOw0pSPw/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 Prediction Uncertainty in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Reservoir Prediction Uncertainty owners hand off.

This MCP is built for professionals working in reservoir engineering and geoscience who need to quantify risk.

01
Reservoir Engineer
Hands off parameter ranges to the AI to get rapid confidence intervals.
02
Geoscientist
Uses the capability to check how geological uncertainties impact production forecasts.
03
Petroleum Data Analyst
Relies on the MCP to generate statistical summaries of model distributions.

FAQ

Questions Reservoir Prediction Uncertainty owners ask.

01
What does this MCP actually calculate?
It calculates prediction intervals, identifies uncertainty drivers through sensitivity ranking, and generates statistical summaries of probability distributions.
02
Can I use this with Claude or Cursor?
Yes, this MCP works with any MCP-compatible client including Claude, Cursor, and Windsurf.
03
How does it handle parameter correlations?
The MCP uses parameter correlations to propagate uncertainty and calculate more accurate prediction intervals.
04
Does it help with model errors?
It helps identify which parameters are the primary drivers of uncertainty, which points you toward where your model is most sensitive.
05
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.
06
How do I calculate the range of likely outcomes?
You can use the calculate_prediction_intervals capability by providing your parameter ranges and any existing correlations.
07
How can I find which parameters impact my model most?
Use the identify_uncertainty_drivers capability to rank parameters based on their sensitivity scores.
08
Can I check if my input data is logically consistent?
Yes, the validate_parameter_consistency capability checks if your parameter ranges and correlations are physically and logically compatible.

Explore

More in Engineering

Connect Reservoir Prediction Uncertainty 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

Calculate prediction intervals

Generate distribution summary

Identify uncertainty drivers

Validate parameter consistency

What teams actually run

Risk Assessment

Model Sensitivity

Data Validation

Statistical Reporting

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

Reservoir Prediction Uncertainty Connector

Claude Desktop

Reservoir Engineer

Geoscientist

Petroleum Data Analyst

What does this MCP actually calculate?

Can I use this with Claude or Cursor?

How does it handle parameter correlations?

Does it help with model errors?

Do I need to host the MCP myself?

How do I calculate the range of likely outcomes?

How can I find which parameters impact my model most?

Can I check if my input data is logically consistent?

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