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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Flare Radiation Modeling with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate safety zones and stack heights using API 521 standards.

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 Flare Radiation Modeling capability set.

These are the exact actions your AI can choose when you ask it to work with Flare Radiation Modeling.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Flare Radiation Modeling.

  1. 01

    Calculate radiation intensity

    This capability determines the thermal radiation flux at a specific coordinate relative to the flare.

  2. 02

    Calculate required stack height

    Use this to find the minimum height a flare stack must reach to satisfy safety standards.

  3. 03

    Determine exclusion zones

    This capability identifies the safety radii needed to protect personnel and equipment from heat.

  4. 04

    Get gas energy content

    This capability retrieves the specific energy or heating value for a given gas mixture.

One connector, every AI

Flare Radiation Modeling 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 Flare Radiation Modeling 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

765ms average. Fast in production.

Flare Radiation Modeling is checked daily against the live service.

Daily averagePeak 1053ms
Sep 11Today
Fastest day
746ms
Slowest day
1053ms
14-day trend
Improving-29%

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 Flare Radiation Modeling, so you can see the experience inside your AI.

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

Flare Radiation Modeling Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_EkCTcFBBlAOE2cOUR2xp9jzaLUVjSo5tRFq8iM8n/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 — Flare Radiation Modeling capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "flare-radiation-modeling-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_EkCTcFBBlAOE2cOUR2xp9jzaLUVjSo5tRFq8iM8n/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 ↑

Who it's for

Built for the work Flare Radiation Modeling owners hand off.

This MCP is built for engineers working with flare systems and industrial safety standards.

  • 01

    Process Engineers

    They hand off gas composition and flow rate data to the AI to get rapid safety calculations.

  • 02

    Safety Engineers

    They use the capability to define exclusion zones and ensure personnel protection.

  • 03

    Flare System Designers

    They rely on the stack height calculations to meet API 521 requirements.

FAQ

Questions Flare Radiation Modeling owners ask.

  • 01

    Does this MCP follow specific industry standards?

    Yes, all calculations and models are based on the API 521 standard.

  • 02

    What kind of data do I need to provide for radiation modeling?

    You typically need to provide flare type, gas composition, mass flow rates, and wind conditions.

  • 03

    Can I use this with Claude or Cursor?

    Yes, you can use this MCP with any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 04

    Does it account for wind speed?

    Yes, the capabilities account for wind-induced flame tilt in the modeling process.

  • 05

    How does it handle different gas mixtures?

    The MCP includes a capability to retrieve the specific energy or heating value for various gas mixtures.

  • 06

    How does this server handle wind effects?

    The determine_exclusion_zones and calculate_required_stack_height capabilities incorporate wind speed to model flame tilt, which shifts the radiation profile and affects safety distances.

  • 07

    Can I calculate radiation for specific gas mixtures?

    Yes, you can use calculate_radiation_intensity by providing a JSON string of the gas composition to determine the heat release rate and resulting flux.

  • 08

    What standards does this model follow?

    The modeling logic is built upon the API 521 standard for flare systems.

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