Refinery Blending Optimization

Refinery Blending Optimization MCP Connector for Claude

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Optimizes refinery product blending using linear programming to maximize margins and ensure compliance.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides advanced optimization tools for refinery operations. It allows AI agents to manage component inventories, calculate precise blend recipes that account for nonlinear chemical properties, and solve global allocation problems to maximize refinery margins. By using get_available_streams, agents can monitor real-time inventory. The calculate_blend_recipe tool generates optimal component ratios, while optimize_allocation distributes limited streams across multiple product demands. Finally, validate_product_compliance ensures every blend meets strict regulatory and quality standards.

refineryblendingoptimizationlinear-programmingchemical

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

calculate_blend_recipe

Determine the optimal volume of each component needed for a target product

get_available_streams

Retrieve the current inventory of all available component streams

optimize_allocation

Distribute available component streams across multiple product demands to maximize value

validate_product_compliance

Verify if a specific blend recipe meets all legal and technical specifications

See how to talk to your AI agent using Refinery Blending Optimization.

What component streams are currently available in the inventory?

The current inventory includes Naphtha (5000L), Aromatics (2500L), and Alkylate (1200L).

Calculate a recipe for 1000 units of product 'HighOctane_01'.

To produce 1000 units of HighOctane_01, you need 600 units of Aromatics (60%) and 400 units of Naphtha (40%).

Is the blend of 50% Naphtha and 50% Aromatics compliant for product 'Standard_Fuel'?

Yes, the blend is compliant with all regulatory and technical specifications for Standard_Fuel.

The `calculate_blend_recipe` tool uses a specialized mathematical model to account for nonlinearities in properties like octane rating and vapor pressure, ensuring the resulting blend is realistic.

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