
Connect Catalyst Lifetime Prediction 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. Model deactivation kinetics and plan refinery maintenance.
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.

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.
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.
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.
01-04
4 capabilities in this set.
Part of 4 available through Catalyst Lifetime Prediction.
- 01
Get replacement urgency
This capability determines how soon you need to replace a catalyst. It analyzes current operating conditions and poisoning levels to set an urgency level.
- 02
Predict remaining life
This capability calculates the expected operational lifespan left for your catalyst. It uses current deactivation data to project future performance.
- 03
Simulate deactivation scenario
This capability models the impact of changing process or feed conditions. It shows how shifts in temperature or feed composition affect deactivation rates.
- 04
Calculate regeneration window
This capability identifies the best time to perform catalyst regeneration. It finds the optimal window to restore activity without unnecessary downtime.
Real work
What teams actually run
Optimizing Regeneration
Find the exact window to regenerate a catalyst to maximize uptime.
Feed Change Impact Analysis
Simulate how a new feed composition will accelerate coking or poisoning.
Shutdown Planning
Determine if a catalyst needs replacement during the next scheduled turnaround.
Operational Risk Management
Monitor real-time deactivation kinetics to assess the risk of running a catalyst too long.
One connector, every AI
Catalyst Lifetime Prediction 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Catalyst Lifetime Prediction 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
937ms average. Fast in production.
Catalyst Lifetime Prediction is checked daily against the live service.
- Fastest day
- 763ms
- Slowest day
- 1077ms
- 14-day trend
- Improving-11%
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 Catalyst Lifetime Prediction, so you can see the experience inside your AI.
It does not authenticate your account with Catalyst Lifetime Prediction. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Catalyst Lifetime Prediction Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_093P8yd7E4Kt1tw3yPZSMFTBPfjYygVvGwe9OHZr/mcpClaude 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 — Catalyst Lifetime Prediction capabilities are ready to use.
{
"mcpServers": {
"catalyst-lifetime-prediction-mcp": {
"url": "https://edge.vinkius.com/vk_preview_093P8yd7E4Kt1tw3yPZSMFTBPfjYygVvGwe9OHZr/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 Catalyst Lifetime Prediction in Claude and other AIs
Who it's for
Built for the work Catalyst Lifetime Prediction owners hand off.
This MCP is built for professionals managing refinery operations and chemical processing units.
- 01
Refinery Engineers
They use the agent to run deactivation simulations and check replacement urgency.
- 02
Maintenance Planners
They rely on the agent to find optimal regeneration windows for scheduled shutdowns.
- 03
Process Technicians
They use the agent to understand how feed changes affect catalyst health.
FAQ
Questions Catalyst Lifetime Prediction owners ask.
- 01
How does this MCP predict catalyst life?
It uses deactivation kinetics, including coking and metal poisoning data, to model the remaining operational lifespan.
- 02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.
- 03
What happens if I change my feed temperature?
You can use the simulation capability to see exactly how much that temperature change will accelerate deactivation and reduce remaining life.
- 04
How do I know when to replace a catalyst?
The capability provides a replacement urgency level based on current activity and operating conditions.
- 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 does the capability account for metal poisoning?
The predict_remaining_life capability incorporates metal poisoning rates into the decay curve projection to ensure accurate lifespan estimates.
- 07
Can I simulate changes in feed temperature?
Yes, you can use simulate_deactivation_scenario to predict how changes in temperature or feed composition will affect the catalyst's activity over a specific period.
- 08
When should I perform a regeneration cycle?
The calculate_regeneration_window capability identifies the optimal time to regenerate based on current activity and coke levels to maximize catalyst life.
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Connect Catalyst Lifetime Prediction to Claude, Cursor, ChatGPT & more
