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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Reservoir Prediction Uncertainty with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Quantifies uncertainty in reservoir predictions using parameter ranges and correlations.

Included with plan

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Reservoir Prediction Uncertainty capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Reservoir Prediction Uncertainty.

  1. 01

    Calculate prediction intervals

    Calculates prediction intervals using parameter ranges and correlations

  2. 02

    Generate distribution summary

    Generates a statistical summary of a probability distribution

  3. 03

    Identify uncertainty drivers

    Identifies key uncertainty drivers by ranking sensitivity

  4. 04

    Validate parameter consistency

    Validates if parameter ranges and correlations are logically compatible

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.

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 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.

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.

  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 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? link.label

See all the AI clients this connector works with ↑

FAQ

Questions Reservoir Prediction Uncertainty owners ask.

  • 01

    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.

  • 02

    How can I find which parameters impact my model most?

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

  • 03

    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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