MCP For Claude Marketplace
Reactor Network Synthesis

Reactor Network Synthesis MCP Connector for Claude

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Optimizes reactor configurations, volumes, and sequences to maximize selectivity and economic yield.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides a specialized optimization engine for chemical engineering. It allows AI agents to determine the most efficient arrangement of reactor types, such as CSTR and PFR, to maximize product selectivity and economic yield. By using find_optimal_network, agents can identify the best sequence of reactors for complex reaction networks, including consecutive and autocatalytic reactions. The server also includes analyze_reaction_dynamics to simulate behavior in specific environments, calculate_economic_impact to quantify financial viability, and compare_configurations to rank different reactor setups based on selectivity, conversion, or economy.

reactor-designselectivitycstrpfrreaction-kinetics

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

analyze_reaction_dynamics

Evaluates how specific reaction types will behave under different reactor environments

calculate_economic_impact

Quantifies the financial viability of a proposed reactor arrangement

compare_configurations

Ranks multiple different reactor arrangements against each other based on user-defined priorities

find_optimal_network

Identifies the best reactor configuration to meet specific selectivity and conversion goals

See how to talk to your AI agent using Reactor Network Synthesis.

Find the best reactor configuration for a reaction network with a target selectivity of 0.85 and conversion of 0.90.

The optimal arrangement is a PFR followed by a CSTR, with a total volume of 450L, achieving 0.87 selectivity and 0.92 conversion.

What is the economic impact of a 500L CSTR arrangement with a product value of 50 and feed cost of 10?

The proposed arrangement yields a net profit of 1250 with a profit margin of 25%.

Simulate the reaction dynamics for a consecutive reaction in a PFR.

The simulation shows a selectivity profile that peaks at 0.75 before declining as the secondary reaction consumes the desired product.

The engine optimizes combinations and sequences of CSTR (Continuous Stirred-Tank Reactor) and PFR (Plug Flow Reactor) units to meet specific selectivity and conversion targets.

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