MCP For Claude Marketplace
Atmospheric Distillation Design

Atmospheric Distillation Design MCP Connector for Claude

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Design atmospheric distillation units by calculating stages, yields, and energy requirements.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides engineering tools to design Atmospheric Distillation Units (ADU/CDU). It allows users to determine the necessary theoretical stages using calculate_column_stages, predict product yields with estimate_product_yields, optimize heat recovery via optimize_pumparounds, and calculate total heat requirements with evaluate_energy_consumption. It is designed to bridge crude oil assay data with precise column configurations.

distillationcrude-oilrefinerychemical-engineeringprocess-design

4 tools expose this connector's capabilities to your AI agent.

calculate_column_stages

Determines the necessary number of theoretical stages to achieve separation

estimate_product_yields

Predicts the volume of each product fraction produced from a specific crude

evaluate_energy_consumption

Calculates the total heat required for the furnace and the cooling required for products and pumparounds

optimize_pumparounds

Calculates the optimal location and flow of heat removal to maximize energy efficiency

See how to talk to your AI agent using Atmospheric Distillation Design.

Calculate the number of stages needed for a throughput of 50000 kg/h with specific assay data.

The required number of theoretical stages is 32, with a minimum of 24 stages.

What are the expected yields for this crude oil?

The predicted yields are: Naphtha 15%, Kerosene 12%, Diesel 25%, Gas Oil 30%, and Residue 18%.

Calculate the energy consumption for the column design.

The total energy requirement is 450 MW, consisting of 380 MW furnace duty and 70 MW condenser duty.

You need to provide the crude throughput, the assay data as a JSON string, and the target product specifications.

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