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Connect Cumene Plant Design Suite 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. Build precise chemical plant specifications through your AI agent.

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

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.

A futuristic MCP client docking bay
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 Cumene Plant Design.

  1. 01

    Calculate reactor design

    This capability determines the physical dimensions and specifications of an alkylation reactor based on your target production goals.

  2. 02

    Calculate yield and byproducts

    Use this to predict the chemical output of your plant, specifically the amounts of cumene, PIPB, and PDPB produced.

  3. 03

    Estimate catalyst requirements

    This capability calculates the exact mass and type of zeolite catalyst your plant needs to function.

  4. 04

    Optimize feedstock ratio

    This capability finds the ideal molar ratio of benzene to propylene to maximize cumene selectivity and reduce unwanted byproducts.

Real work

What teams actually run

01

Initial Plant Sizing

Determine the necessary reactor volume and catalyst mass for a new cumene production facility.

02

Yield Forecasting

Predict how much cumene will be produced based on specific transalkylation and PDPB removal rates.

03

Feedstock Management

Find the most efficient molar ratio of benzene to propylene to minimize waste.

04

Process Optimization

Adjust design parameters to improve cumene selectivity and product purity.

One connector, every AI

Cumene Plant 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.

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

You don't need a client to put Cumene Plant 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

862ms average. Fast in production.

Cumene Plant Design is checked daily against the live service.

Daily averagePeak 1022ms
Oct 9Today
Fastest day
785ms
Slowest day
1022ms
14-day trend
Improving-18%

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 Cumene Plant Design, so you can see the experience inside your AI.

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

Cumene Plant Design Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_7Lt1kG3esun9U6dbLETeY1xn5lLfCmX1NZz2k619/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 — Cumene Plant Design capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "cumene-plant-design-suite-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7Lt1kG3esun9U6dbLETeY1xn5lLfCmX1NZz2k619/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 Cumene Plant Design in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Cumene Plant Design owners hand off.

This MCP is built for professionals working in chemical process design and plant engineering.

  • 01

    Chemical Engineers

    They use the MCP to run rapid kinetic calculations and reactor sizing models.

  • 02

    Process Designers

    They hand off feedstock optimization and catalyst requirement tasks to their AI agent.

  • 03

    Plant Managers

    They use yield predictions to estimate production outputs and byproduct levels.

FAQ

Questions Cumene Plant Design owners ask.

  • 01

    What kind of catalyst does this MCP design for?

    The MCP is specifically designed to estimate the requirements for zeolite catalysts used in cumene production.

  • 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

    Can I predict byproduct levels?

    Yes, the capability can predict the chemical output of the plant, including PIPB and PDPB.

  • 04

    Does this MCP handle feedstock optimization?

    Yes, it includes a capability to determine the ideal molar ratio of benzene to propylene to maximize selectivity.

  • 05

    How is the reactor design calculated?

    The reactor design is determined using precise alkylation kinetics to meet your target production goals.

  • 06

    How do I calculate the required reactor size?

    You can use the calculate_reactor_design capability by providing your target capacity and the availability of benzene and propylene.

  • 07

    Can I optimize the feedstock to reduce byproducts?

    Yes, the optimize_feedstock_ratio capability calculates the ideal benzene to propylene ratio to maximize selectivity and minimize PIPB formation.

  • 08

    Does this capability account for catalyst degradation?

    Yes, estimate_catalyst_requirements provides an expected lifespan for the zeolite catalyst based on standard degradation rates.

Connect Cumene Plant Design to Claude, Cursor, ChatGPT & more