What kind of simulations can this MCP perform?

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

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.

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.

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.

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.

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.

Can I optimize for propylene instead of ethylene?

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

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.

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Connect Ethylene Plant Yield Model 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. Predict and optimize petrochemical yields through steam cracking simulations.

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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.

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.

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 Ethylene Plant Yield Model.

01
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.
02
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.
03
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.
04
Compare furnace efficiency
Evaluates different furnace designs. It helps you see how changes in furnace architecture impact overall process performance.

Real work

What teams actually run

Feedstock Switching

Determine how a new batch of feedstock will change your ethylene and propylene yields before you run it through the furnace.

Targeted Yield Maximization

Find the exact cracking severity needed to push ethylene production to its highest possible level.

Equipment Design Evaluation

Compare the efficiency of different furnace architectures using simulated process data.

Operational Sensitivity Testing

Run simulations to see how sensitive your plant is to small changes in paraffin or olefin concentrations.

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.

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

895ms average. Fast in production.

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

Daily averagePeak 1099ms

Oct 3Today

Fastest day: 769ms
Slowest day: 1099ms
14-day trend: Slowing+5%

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.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
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? Set up Ethylene Plant Yield Model in Claude and other AIs

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

Connect Ethylene Plant Yield Model to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Optimize severity

Analyze feedstock sensitivity

Calculate yield profile

Compare furnace efficiency

What teams actually run

Feedstock Switching

Targeted Yield Maximization

Equipment Design Evaluation

Operational Sensitivity Testing

Building your own app? The connector is yours to use.

Ethylene Plant Yield Model Connector

Claude Desktop

Chemical Engineers

Process Optimization Specialists

Plant Managers

What kind of simulations can this MCP perform?

Which AI clients can I use with this MCP?

How does the MCP handle feedstock data?

Can I use this to optimize for specific chemicals?

Do I need to host the MCP myself?

How can I predict the yield of ethylene?

Can I optimize for propylene instead of ethylene?

How do I compare different furnace types?

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