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Drill Pattern Optimization MCP Server

Deploy on Vinkius Edge Built with MCP Fusion

Overview

Category: optimization

Optimize drill hole spacing and configuration based on geological variability and budget.

Description

This MCP server provides advanced geological optimization tools to determine the most cost-effective drilling configurations. By analyzing spatial continuity and geological variability, it calculates optimal drill spacing and hole counts. Use calculate_optimal_spacing to find ideal distances, apply_budget_constraints to manage financial limits, and get_drilling_plan_summary to receive a complete report on risk and efficiency.

Available Tools (4)

  • apply_budget_constraints: Adjusts the drilling plan to ensure the number of holes does not exceed financial limits
  • calculate_optimal_spacing: Determines the ideal distance between drill holes to meet a target confidence level
  • get_drilling_plan_summary: Aggregates all optimization metrics into a single, human-readable report
  • predict_confidence_improvement: Evaluates how much the statistical certainty of the resource estimate improves with a specific drilling pattern

💬 Prompt Examples

Here are some examples of how you can interact with the Drill Pattern Optimization MCP server using an AI Agent (Claude, ChatGPT, etc.).

👤 You:

"What is the optimal drill spacing for a variogram range of 50m, target confidence of 0.95, and variability of 0.2?"

🤖 AI Agent:

The optimal spacing is 32.5 meters, requiring 12 holes for the target area, with an expected confidence gain of 0.15.

👤 You:

"I have a budget of $50,000 and each hole costs $4,500. How many holes can I drill if the optimization suggested 15 holes?"

🤖 AI Agent:

You can drill a maximum of 11 holes to stay within your $50,000 budget.

👤 You:

"How much will my confidence improve if I change my spacing from 40m to 25m with a variogram range of 50m?"

🤖 AI Agent:

Reducing the spacing to 25 meters will increase your projected confidence from 0.82 to 0.94.

❓ FAQ

Q: How does the tool account for geological uncertainty? The tool uses the geologicalVariability parameter and the variogram range to adjust spacing, ensuring that higher uncertainty leads to denser drilling patterns.

Q: Can I limit the number of holes to stay within my budget? Yes, you can use apply_budget_constraints to adjust your drilling plan so the total cost does not exceed your maximum financial ceiling.

Q: What information is needed for a drilling plan summary? To generate a summary via get_drilling_plan_summary, you need the optimal spacing, the final hole count, the expected confidence, and the variogram range.

Installation & Usage

This MCP server is fully hosted and managed by Vinkius Cloud, providing a zero-setup, high-performance, and secure execution environment. You do not need to manage local servers or dependencies. Simply connect your AI agent to the Vinkius Edge network using the instructions below.

  1. View installation instructions and explore the server: https://vinkius.com/en/ai-agent-connect/drill-pattern-optimization
  2. Connect to the Vinkius Cloud to start using it: cloud.vinkius.com/connect

Claude.ai

Follow the steps below to connect in seconds.

  1. Open claude.ai and sign in to your account.
  2. Go to Customize → Connectors.
  3. Click the + button and select "Add custom connector".
  4. Paste the MCP server link (https://edge.vinkius.com/[TOKEN]/mcp) and save.
  5. Click the + button in any chat and enable Drill Pattern Optimization under Connectors.

Cursor

Follow the steps below to connect in seconds.

  1. In Cursor, open Settings (⌘ ,) → scroll to Features → MCP Servers.
  2. Click + Add new MCP Server.
  3. Set Type to "SSE" (or "streamable HTTP"), enter drill-pattern-optimization as the name, and paste the MCP server link (https://edge.vinkius.com/[TOKEN]/mcp).
  4. Click Save — Cursor will connect and list all Drill Pattern Optimization tools.

Configuration:

{
  "mcpServers": {
    "drill-pattern-optimization": {
      "url": "https://edge.vinkius.com/[TOKEN]/mcp"
    }
  }
}

Independent Platform Disclaimer

Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by any third-party company listed in this dataset. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use in this dataset is strictly for informational purposes to identify service compatibility and interoperability.

This repository is automatically synced from the Vinkius connector registry. For real-time updates and more AI tools, visit vinkius.com.