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Connect Rock Mass Characterization to ChatGPT and Claude

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. Get precise rock mass quality metrics for engineering design.

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

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.

A futuristic MCP client docking bay
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 Rock Mass Characterization.

  1. 01

    Analyze structural domain

    This capability evaluates how anisotropy and joint orientation impact the stability of a specific structural domain.

  2. 02

    Get gsi properties

    This capability estimates rock mass strength characteristics using the Geological Strength Index.

  3. 03

    Get q index

    This capability calculates the Q-system Quality Index for tunnel-specific support design.

  4. 04

    Get rmr classification

    This capability calculates the Rock Mass Rating (RMR) to determine rock mass quality and basic support requirements.

Real work

What teams actually run

01

Tunnel Support Design

Use the Q-index capability to determine the necessary support for a new tunnel excavation.

02

Mining Stability Analysis

Evaluate how joint orientation impacts the stability of a specific mining domain.

03

Rock Mass Quality Grading

Convert RQD and joint spacing data into a formal RMR classification.

04

Strength Reduction Modeling

Estimate how much strength is lost in a rock mass using GSI properties.

One connector, every AI

Rock Mass Characterization 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 Rock Mass Characterization 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

889ms average. Fast in production.

Rock Mass Characterization is checked daily against the live service.

Daily averagePeak 975ms
Oct 3Today
Fastest day
730ms
Slowest day
975ms
14-day trend
Stable0%

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 Rock Mass Characterization, so you can see the experience inside your AI.

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

Rock Mass Characterization Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_T1Xg44kGXEjgIHpalL4Rg73UjhL46HzWdcWc2xXY/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 — Rock Mass Characterization capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "rock-mass-characterization-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_T1Xg44kGXEjgIHpalL4Rg73UjhL46HzWdcWc2xXY/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 Rock Mass Characterization in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Rock Mass Characterization owners hand off.

This MCP is built for professionals working in mining and civil engineering who need to convert geological observations into numerical classifications.

  • 01

    Mining Engineers

    They hand off rock mass data to the agent to determine excavation support needs.

  • 02

    Geotechnical Engineers

    They use the capability to quantify rock mass quality and assess stability risks.

  • 03

    Civil Engineers

    They rely on these calculations for tunnel and foundation design parameters.

FAQ

Questions Rock Mass Characterization owners ask.

  • 01

    What classification systems does this MCP support?

    This MCP implements the RMR, the Q-system, and the Geological Strength Index (GSI).

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 03

    How does it help with tunnel design?

    It uses the Q-system capability to calculate the Q-index, which is used specifically for tunnel-specific support design.

  • 04

    Does it handle structural stability?

    Yes, the analyze_structural_domain capability evaluates how anisotropy and joint orientation impact stability in specific zones.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use once you connect your client.

  • 06

    What classification systems are supported?

    The server supports Rock Mass Rating (RMR), the Q-system (Quality Index), and the Geological Strength Index (GSI).

  • 07

    Can I analyze specific geological zones?

    Yes, you can use analyze_structural_domain to evaluate stability risks and anisotropy impacts for a specific domain ID.

  • 08

    How is the RMR calculated?

    The get_rmr_classification capability calculates the score based on rock strength, RQD, joint spacing, condition, groundwater, and orientation adjustments.

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