Green Chemistry Metrics

Green Chemistry Metrics MCP Connector for Claude

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Quantify chemical process sustainability using atom economy, E-factor, and waste impact metrics.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a suite of tools to evaluate the environmental footprint of chemical manufacturing. It allows AI agents to calculate critical sustainability indicators such as Atom Economy, E-factor, Process Mass Intensity (PMI), and Solvent Intensity. By using calculate_atom_economy, agents can determine theoretical efficiency, while calculate_mass_intensity_metrics provides a comprehensive view of material usage. The server also includes evaluate_waste_impact to categorize waste into hazard tiers and assess_energy_footprint to quantify energy consumption relative to product yield. This bridge enables precise, data-driven sustainability assessments within your AI workflow.

green-chemistrysustainabilitye-factoratom-economychemical-engineering

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

assess_energy_footprint

calculate_atom_economy

calculate_mass_intensity_metrics

evaluate_waste_impact

See how to talk to your AI agent using Green Chemistry Metrics.

Calculate the atom economy for a reaction with 50g of reactant A and 40g of product, with 10g of byproduct.

The atom economy for this reaction is 80%.

What is the E-factor if I produce 10kg of product using 50kg of total materials?

The E-factor for this process is 4.0.

Assess the energy footprint for 5kg of product using 100 kWh of energy.

The energy intensity is 100 kWh and the energy per unit mass is 20 kWh/kg.

You can calculate Atom Economy, E-factor, Process Mass Intensity (PMI), Solvent Intensity, waste hazard scores, and energy intensity.

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