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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Thermal Environment Prediction with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predicts thermal conditions and heat stress in underground excavations.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Thermal Environment Prediction capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Thermal Environment Prediction.

  1. 01

    Get seasonal rock temperature

    Adjusts the base rock temperature based on the time of year

  2. 02

    Predict air temperature profile

    Calculates the distribution of air temperature along a specific section of the excavation

  3. 03

    Predict humidity levels

    Determines the relative humidity at a specific point within the excavation

  4. 04

    Calculate heat stress index

    Evaluates the physiological risk to workers based on the local environment

One connector, every AI

Thermal Environment Prediction 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 Thermal Environment Prediction 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

1288ms average. Fast in production.

Thermal Environment Prediction is checked daily against the live service.

Daily averagePeak 1288ms
Sep 8Today
Fastest day
1288ms
Slowest day
1288ms
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 Thermal Environment Prediction, so you can see the experience inside your AI.

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

Thermal Environment Prediction Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_qLpX4dlz7oXNE6enykJUKmwVtLtgS2OFcZVfcfz8/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 — Thermal Environment Prediction capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "thermal-environment-prediction-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qLpX4dlz7oXNE6enykJUKmwVtLtgS2OFcZVfcfz8/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 Thermal Environment Prediction owners ask.

  • 01

    How does the server account for seasonal changes?

    The get_seasonal_rock_temperature capability adjusts the base rock temperature using seasonal offsets to reflect surface temperature variations.

  • 02

    Can I predict worker safety risks?

    Yes, use calculate_heat_stress_index to evaluate physiological risk levels based on temperature, humidity, and air velocity.

  • 03

    What inputs are needed for temperature profiling?

    To use predict_air_temperature_profile, you need the rock temperature, ventilation rate, equipment heat load, and the segment length.

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