
Connect Resource Assessment 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. Turn deterministic geological estimates into probabilistic risk models.
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.

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.
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.
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.
01-04
4 capabilities in this set.
Part of 4 available through Resource Assessment Uncertainty.
- 01
Analyze sensitivity
This capability identifies which specific input parameter has the largest impact on your final resource uncertainty. It helps you pinpoint exactly where your model is most vulnerable to error.
- 02
Calculate resource uncertainty
This is the primary engine for probabilistic calculations. It processes your input ranges to generate a distribution of possible resource volumes.
- 03
Compare scenarios
Use this to evaluate how different geological assumptions change your risk profile. It compares two distinct sets of resource assumptions side by side.
- 04
Validate parameter bounds
This capability checks your probabilistic ranges against standard industry limits. It ensures your input values are physically and geologically plausible.
Real work
What teams actually run
Volumetric Risk Assessment
Run Monte Carlo simulations to determine the range of possible resource volumes for a new discovery.
Parameter Sensitivity Testing
Determine if porosity or thickness is the primary driver of uncertainty in your specific model.
Model Comparison
Evaluate how a change in the geological model affects the overall resource risk.
Data Integrity Checks
Verify that the input ranges for your probabilistic model are geologically realistic.
One connector, every AI
Resource Assessment 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Resource Assessment 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
874ms average. Fast in production.
Resource Assessment Uncertainty is checked daily against the live service.
- Fastest day
- 781ms
- Slowest day
- 1197ms
- 14-day trend
- Improving-24%
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 Resource Assessment Uncertainty, so you can see the experience inside your AI.
It does not authenticate your account with Resource Assessment Uncertainty. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Resource Assessment Uncertainty Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Rg5sTzlHFKalTJoZzdRsibeF4vJTux6iZZ5WUpB8/mcpClaude 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 — Resource Assessment Uncertainty capabilities are ready to use.
{
"mcpServers": {
"resource-assessment-uncertainty-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Rg5sTzlHFKalTJoZzdRsibeF4vJTux6iZZ5WUpB8/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 Resource Assessment Uncertainty in Claude and other AIs
Who it's for
Built for the work Resource Assessment Uncertainty owners hand off.
This MCP is built for professionals managing geological risk and volumetric uncertainty in resource extraction.
- 01
Geologists
They provide the raw geological parameters and use the MCP to quantify uncertainty.
- 02
Reservoir Engineers
They use the capability to model volumetric ranges and assess the impact of different reservoir properties.
- 03
Resource Estimators
They rely on the probabilistic outputs to define P10, P50, and P90 resource classifications.
FAQ
Questions Resource Assessment Uncertainty owners ask.
- 01
What kind of uncertainty can this MCP quantify?
It quantifies volumetric uncertainty in geological resource assessments using Monte Carlo simulations.
- 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 the sensitivity analysis work?
The capability identifies which input parameter has the greatest impact on the final resource uncertainty.
- 04
Can I check if my geological ranges are realistic?
Yes, the validate_parameter_bounds capability checks if your probabilistic ranges are physically or geologically plausible.
- 05
What are P10, P50, and P90 values?
These are probabilistic resource estimates used to define different levels of confidence in the total resource volume.
- 06
What are P10, P50, and P90 estimates?
These are cumulative probability values. P90 is a conservative estimate (90% probability of being exceeded), P50 is the median, and P10 is an optimistic estimate (10% probability of being exceeded).
- 07
How can I check if my input ranges are realistic?
You can use the validate_parameter_bounds capability to check if your area, thickness, porosity, and saturation ranges fall within physically and geologically plausible limits.
- 08
Can I compare two different geological models?
Yes, the compare_scenarios capability allows you to evaluate how changes in assumptions affect risk by comparing the delta between P50 and P90 values.
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Connect Resource Assessment Uncertainty to Claude, Cursor, ChatGPT & more
