Fuel Oil Blend Calculator

Fuel Oil Blend Calculator MCP Connector for Claude

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Predicts physical and chemical properties of heavy fuel oil blends.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides technical calculation tools for heavy fuel oil blending. It allows AI agents to predict blend density, sulfur content, and viscosity using non-linear blending indices. Users can also assess physical compatibility to prevent sludge formation and generate compliance reports against regulatory standards like IMO 2020. Key tools include calculate_blend_properties for core metrics, check_blend_compatibility for stability analysis, predict_viscosity_at_temperature for thermal adjustments, and get_blend_compliance_report for regulatory verification.

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

calculate_blend_properties

Calculates the primary physical characteristics of a proposed fuel oil blend

check_blend_compatibility

Determines if the blend of the provided components is physically compatible

get_blend_compliance_report

Compares the calculated blend properties against a set of regulatory or technical specifications

predict_viscosity_at_temperature

Predicts how the blend's viscosity will change when the temperature is adjusted

See how to talk to your AI agent using Fuel Oil Blend Calculator.

Calculate the properties for a blend of 60% component A (density 980, sulfur 0.5, viscosity 380) and 40% component B (density 950, sulfur 1.2, viscosity 500).

The calculated blend density is 968 kg/m³, the sulfur content is 0.78%, and the blend viscosity is 412 cSt.

Is a blend of two oils with densities 950 and 1020 and viscosities 100 and 600 compatible?

The blend has a High risk level due to significant differences in density and viscosity between the components.

What will the viscosity be if I increase the temperature by 20 degrees for this blend?

The predicted viscosity after a 20 degree temperature increase is 185 cSt.

The tool uses a Viscosity Blending Index (VBI) to account for non-linear behavior, performing a weighted average in the index space before converting back to the target viscosity.

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