MCP For Claude Marketplace
Petrochemical Process Economics

Petrochemical Process Economics MCP Connector for Claude

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Evaluate the financial viability and sensitivity of petrochemical production processes.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides a complete techno-economic modeling suite for petrochemical production. It allows AI agents to calculate total production costs using get_production_cost, determine profitability via get_process_margin, evaluate long-term investment viability with calculate_project_npv, and perform risk assessments through run_sensitivity_analysis. It accounts for CAPEX, OPEX, feedstock volatility, and scale effects to provide precise financial insights for chemical plant planning.

petrochemicaleconomicsnpvcapexopexsensitivity-analysis

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

calculate_project_npv

Evaluates the long-term financial viability of the plant investment

get_process_margin

Determines the profitability per unit of production

get_production_cost

Calculates the total cost of producing a specific volume of product

run_sensitivity_analysis

Identifies which economic driver has the most significant impact on the project's NPV

See how to talk to your AI agent using Petrochemical Process Economics.

What is the total production cost for a plant with 500,000 unit capacity, $50 feedstock price, and $20 operating cost per unit?

The total production cost for a capacity of 500,000 units is $35,000,000, with a unit cost of $70.

Calculate the margin if the unit cost is $70 and the product price is $100.

The margin per unit is $30, which represents a 30% margin percentage.

Evaluate a project with $10,000,000 investment, $2,000,000 annual cash flow, 10% discount rate, and 10 years life.

The Net Present Value (NPV) for this project is $2,355,000.

The `get_production_cost` tool incorporates scale effects by calculating the total production cost based on the provided capacity, ensuring that unit costs reflect the efficiencies of larger production volumes.

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