Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Fired Heater Design with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Perform precise thermal modeling and equipment sizing for industrial heaters.

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 Fired Heater Design capability set.

These are the exact actions your AI can choose when you ask it to work with Fired Heater Design.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Fired Heater Design.

  1. 01

    Get fuel consumption

    This capability estimates the total mass or volume of fuel you need to meet a specific heating demand.

  2. 02

    Get radiant section sizing

    Use this to find the physical dimensions required for a radiant section to hit your heat transfer targets.

  3. 03

    Get stack temperature and losses

    This capability predicts the flue gas temperature at the stack and calculates energy lost to the environment.

  4. 04

    Get tube coil design

    This capability calculates the number of tubes and their physical configuration for heating coils.

One connector, every AI

Fired Heater Design 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 Fired Heater Design 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

743ms average. Fast in production.

Fired Heater Design is checked daily against the live service.

Daily averagePeak 1081ms
Sep 11Today
Fastest day
728ms
Slowest day
1081ms
14-day trend
Improving-33%

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 Fired Heater Design, so you can see the experience inside your AI.

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

Fired Heater Design Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Ey7FnWmHDENSVUeJAmg7rxrpFhNVpc0ax7X6Uenw/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 — Fired Heater Design capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "fired-heater-design-engineer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Ey7FnWmHDENSVUeJAmg7rxrpFhNVpc0ax7X6Uenw/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 Fired Heater Design owners hand off.

This MCP is built for engineers working in thermal design and industrial combustion.

  • 01

    Thermal Design Engineer

    Hands off heating duty and fluid data to the AI to generate equipment sizing.

  • 02

    Process Engineer

    Uses the capability to check fuel efficiency and stack temperature predictions.

  • 03

    Mechanical Engineer

    Provides duty requirements to get tube coil configurations and physical dimensions.

FAQ

Questions Fired Heater Design owners ask.

  • 01

    What kind of engineering calculations does this MCP perform?

    It performs thermal modeling for radiant section sizing, tube coil design, stack temperature prediction, and fuel consumption estimation.

  • 02

    Which AI clients can I use with this MCP?

    You can use it with any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code.

  • 03

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and start working.

  • 04

    Can I use this for fuel efficiency analysis?

    Yes, the MCP can predict stack exit temperatures and calculate energy losses to help with efficiency targets.

  • 05

    Does it require any special setup?

    No setup is required. Once you subscribe on Vinkius, it is ready to use with one click.

  • 06

    What can I calculate with this capability?

    You can calculate radiant section dimensions, tube coil geometry, stack exit temperatures, heat losses, and total fuel consumption.

  • 07

    How do I provide fluid properties?

    Fluid properties should be provided as a JSON string containing heatCapacity, density, and viscosity.

  • 08

    Does this capability account for efficiency targets?

    Yes, the efficiency target is a required input for sizing and fuel consumption calculations to ensure the design meets specific performance goals.

Explore

More in Engineering

Suggestions