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Connect Isobutylene Production Designer to your AI

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. Design and optimize chemical production pathways with precision.

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 Isobutylene Production Plant.

  1. 01

    Analyze feedstock suitability

    This capability checks if a C4 cut is viable. It evaluates the properties of your feedstock to see if it can actually be used for isobutylene production.

  2. 02

    Calculate production yield

    This capability estimates your final output. It calculates the total amount of usable isobutylene you can expect to produce.

  3. 03

    Compare process scenarios

    This capability compares different production pathways. It helps you find the best balance between yield and the specific grade you need.

  4. 04

    Select optimal process

    This capability identifies the most efficient production technology. It picks the best process based on your specific feedstock properties.

Real work

What teams actually run

01

Feedstock Assessment

Check if a new C4 cut from a supplier is suitable for your existing isobutylene units.

02

Process Optimization

Compare MTBE cracking against SAA to see which provides better yields for your specific purity targets.

03

Production Planning

Estimate the total volume of polymer-grade isobutylene you can produce from a specific feedstock batch.

04

Design Validation

Run multiple scenarios to ensure your chosen production pathway maximizes efficiency.

One connector, every AI

Isobutylene Production Plant 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 Isobutylene Production Plant 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

884ms average. Fast in production.

Isobutylene Production Plant is checked daily against the live service.

Daily averagePeak 1192ms
Oct 3Today
Fastest day
736ms
Slowest day
1192ms
14-day trend
Slowing+31%

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 Isobutylene Production Plant, so you can see the experience inside your AI.

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

Isobutylene Production Plant Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_qJE9bZSWJBhybSIcA94Vkf4VZTEATp4nZctpaCdS/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 — Isobutylene Production Plant capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "isobutylene-production-designer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qJE9bZSWJBhybSIcA94Vkf4VZTEATp4nZctpaCdS/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 Isobutylene Production Plant in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Isobutylene Production Plant owners hand off.

This MCP is built for professionals working in petrochemical design and process optimization.

  • 01

    Chemical Engineer

    Uses the MCP to run feedstock checks and compare production technologies.

  • 02

    Process Designer

    Relies on the capability to estimate yields and select optimal pathways for new units.

  • 03

    Plant Manager

    Uses the output to evaluate the viability of different feedstock sources.

FAQ

Questions Isobutylene Production Plant owners ask.

  • 01

    What kind of feedstock can this MCP analyze?

    The MCP is designed to analyze C4 cuts to determine if they are viable for isobutylene 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 compare different production technologies?

    Yes, you can use the compare_process_scenarios capability to evaluate different pathways and find the best balance of yield and grade.

  • 04

    How does the yield calculation work?

    The calculate_production_yield capability estimates the total amount of usable isobutylene based on your feedstock input and process efficiency.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use as soon as you connect your client.

  • 06

    How do I know if my C4 cut is suitable for production?

    You can use the analyze_feedstock_suitability capability. It evaluates the isobutylene purity and total capacity to determine if the feedstock meets industrial requirements.

  • 07

    Can I differentiate between polymer-grade and chemical-grade yields?

    Yes. When using calculate_production_yield, specifying the target grade will account for the higher loss rates typically associated with stricter polymer-grade purification.

  • 08

    How can I find the best production pathway?

    The compare_process_scenarios capability is designed for this. It iterates through available technologies to find the best balance of yield and grade for your specific feedstock.

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