ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Mining Risk Analysis with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Perform Monte Carlo simulations to assess financial risk and uncertainty in mining projects.

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 Mining Risk Analysis capability set.

These are the exact actions your AI can choose when you ask it to work with Mining Risk Analysis.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Mining Risk Analysis.

  1. 01

    Get parameter summary

    Provides a descriptive statistical overview of the input parameters

  2. 02

    Run monte carlo simulation

    Executes the core simulation engine to determine the distribution of project outcomes

  3. 03

    Validate correlation matrix

    Checks if a set of proposed correlations is mathematically consistent and valid

  4. 04

    Calculate sensitivity index

    Identifies which input variables have the greatest impact on the variance of the NPV

One connector, every AI

Mining Risk Analysis 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 Mining Risk Analysis 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 Mining Risk Analysis, so you can see the experience inside your AI.

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

Mining Risk Analysis Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_VlIrOPUWXdaE16SuH555kaTezIgYK3j8h1bIXIuH/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 — Mining Risk Analysis capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "mining-project-risk-analysis-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_VlIrOPUWXdaE16SuH555kaTezIgYK3j8h1bIXIuH/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 Mining Risk Analysis owners ask.

  • 01

    What is a Monte Carlo simulation in this context?

    It is a technique that repeatedly samples values from probability distributions for uncertain input parameters to generate a range of possible NPV outcomes.

  • 02

    How do I know which parameters impact my project most?

    You can use the calculate_sensitivity_index capability to identify which input variables have the greatest impact on the variance of the NPV.

  • 03

    Can I model dependencies between variables?

    Yes, you can provide correlations between parameters. Use validate_correlation_matrix first to ensure your proposed correlations are mathematically valid.