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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Cumene Plant Design with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Build precise chemical plant specifications through your AI agent.

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 Cumene Plant Design capability set.

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

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.

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.

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 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

829ms average. Fast in production.

Cumene Plant Design is checked daily against the live service.

Daily averagePeak 829ms
Sep 12Today
Fastest day
829ms
Slowest day
829ms
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 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? link.label

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.

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