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

Use Ethylene Plant Yield Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Predict and optimize petrochemical yields through steam cracking simulations.

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 Ethylene Plant Yield Model capability set.

These are the exact actions your AI can choose when you ask it to work with Ethylene Plant Yield Model.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Ethylene Plant Yield Model.

  1. 01

    Calculate yield profile

    Predicts the distribution of products from a specific cracking process. It outputs the expected percentages for chemicals like ethylene, propylene, and butadiene.

  2. 02

    Compare furnace efficiency

    Evaluates different furnace designs. It helps you see how changes in furnace architecture impact overall process performance.

  3. 03

    Optimize severity

    Finds the ideal cracking severity for your target chemicals. It identifies the exact setting needed to hit peak yield for a given feedstock.

  4. 04

    Analyze feedstock sensitivity

    Measures how changes in feedstock composition impact your final output. Use this to see how shifts in paraffins or olefins change your product mix.

One connector, every AI

Ethylene Plant Yield Model 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 Ethylene Plant Yield Model 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

989ms average. Fast in production.

Ethylene Plant Yield Model is checked daily against the live service.

Daily averagePeak 989ms
Sep 12Today
Fastest day
989ms
Slowest day
989ms
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 Ethylene Plant Yield Model, so you can see the experience inside your AI.

It does not authenticate your account with Ethylene Plant Yield Model. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Ethylene Plant Yield Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_jVwvZX4YXoYuxdcOwDJDH4yg2N4ob6N0iwdQUQT4/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 — Ethylene Plant Yield Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ethylene-plant-yield-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_jVwvZX4YXoYuxdcOwDJDH4yg2N4ob6N0iwdQUQT4/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 Ethylene Plant Yield Model owners hand off.

This MCP is built for professionals managing petrochemical production and process design.

  • 01

    Chemical Engineers

    They hand off complex yield calculations and sensitivity modeling to the AI.

  • 02

    Process Optimization Specialists

    They use the capability to find optimal cracking severities for specific feedstocks.

  • 03

    Plant Managers

    They use the simulations to understand the impact of feedstock changes on plant output.

FAQ

Questions Ethylene Plant Yield Model owners ask.

  • 01

    What kind of simulations can this MCP perform?

    It performs steam cracking simulations, including yield profiling, severity optimization, feedstock sensitivity, and furnace efficiency comparisons.

  • 02

    Which AI clients can I use with this MCP?

    You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    How does the MCP handle feedstock data?

    You provide the feedstock composition, such as paraffin or olefin percentages, and the MCP uses that data to calculate the resulting product distribution.

  • 04

    Can I use this to optimize for specific chemicals?

    Yes, the optimize_severity capability is specifically designed to find the peak yield for specific chemicals based on your feedstock.

  • 05

    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.

  • 06

    How can I predict the yield of ethylene?

    You can use the calculate_yield_profile capability by providing the feedstock composition, cracking severity, and the furnace type.

  • 07

    Can I optimize for propylene instead of ethylene?

    Yes, use the optimize_severity capability and set the target product to 'propylene'.

  • 08

    How do I compare different furnace types?

    Use the compare_furnace_efficiency capability to evaluate how different furnace architectures perform for your specific feedstock and severity settings.

Explore

More in Chemical Engineering

Suggestions