Use Natural Gas Liquefaction Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Calculate LNG plant process parameters, refrigerant compositions, and production yields.
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.
Complete set · 4 capabilities
The complete Natural Gas Liquefaction Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Natural Gas Liquefaction Engine.
01-04
4 capabilities in this set.
Part of 4 available through Natural Gas Liquefaction Engine.
- 01
Analyze feed gas
Determines the suitability of the feed gas and identifies necessary pretreatment requirements
- 02
Calculate production yield
Predicts the final output of LNG based on feed inputs and process losses
- 03
Optimize refrigerant mix
Fine-tunes the refrigerant blend for a Mixed Refrigerant (MR) cycle to maximize efficiency
- 04
Simulate liquefaction cycle
Calculates the thermodynamic requirements for a specific liquefaction technology
One connector, every AI
Natural Gas Liquefaction Engine 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 Natural Gas Liquefaction Engine 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
981ms average. Fast in production.
Natural Gas Liquefaction Engine is checked daily against the live service.
- Fastest day
- 981ms
- Slowest day
- 981ms
- 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 Natural Gas Liquefaction Engine, so you can see the experience inside your AI.
It does not authenticate your account with Natural Gas Liquefaction Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Natural Gas Liquefaction Engine Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_EhVBmlCKh1bDG2KiF9P9G89lbmpq7eOB1VywHWkg/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 — Natural Gas Liquefaction Engine capabilities are ready to use.
{
"mcpServers": {
"natural-gas-liquefaction-simulator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_EhVBmlCKh1bDG2KiF9P9G89lbmpq7eOB1VywHWkg/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
FAQ
Questions Natural Gas Liquefaction Engine owners ask.
- 01
What liquefaction cycles are supported?
The server supports cascade, mixed_refrigerant, and expander cycles.
- 02
Can I optimize the refrigerant blend?
Yes, you can use the optimize_refrigerant_mix capability to fine-tune the blend for Mixed Refrigerant cycles.
- 03
How does the capability handle heavy component removal?
The analyze_feed_gas capability identifies heavy component content and impurity risks to determine if pretreatment is required.
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