# Ethylene Plant Yield Model AI Agent Connect > Ethylene Plant Yield Model MCP gives your AI client the ability to simulate chemical transformations in steam cracking processes. It models how feedstock composition, cracking severity, and furnace architecture dictate product output. You can run sensitivity analyses, compare furnace designs, and find the exact cracking severity needed to hit specific yield targets. ## Overview - **Category:** chemical-engineering - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_jVwvZX4YXoYuxdcOwDJDH4yg2N4ob6N0iwdQUQT4/ai-agent-connect - **Tags:** ethylene, steam-cracking, yield-optimization, petrochemical, industrial-modeling ## Description You can use this MCP to bring chemical engineering simulation directly into your AI-driven workflows. Instead of manually calculating how feedstock changes affect your output, you can ask your agent to run the numbers for you. It handles the heavy lifting of modeling hydrocarbon transformations by looking at your specific feedstock, the severity of the cracking, and the furnace design you are using. Whether you are trying to figure out how a shift in paraffin content will change your ethylene production or you need to decide which furnace architecture is more efficient for a new feedstock, this MCP provides the mathematical backbone. You can test different scenarios in seconds, finding the sweet spot for cracking severity to maximize specific chemical yields. It turns your AI client into a specialized tool for petrochemical process optimization and feedstock sensitivity testing. ## Tools ### calculate_yield_profile Predicts the distribution of products from a specific cracking process. It outputs the expected percentages for chemicals like ethylene, propylene, and butadiene. ### compare_furnace_efficiency Evaluates different furnace designs. It helps you see how changes in furnace architecture impact overall process performance. ### optimize_severity Finds the ideal cracking severity for your target chemicals. It identifies the exact setting needed to hit peak yield for a given feedstock. ### analyze_feedstock_sensitivity Measures how changes in feedstock composition impact your final output. Use this to see how shifts in paraffins or olefins change your product mix. ## Prompt Examples **Prompt:** ``` What is the expected yield profile for a feedstock with 70% paraffins and 30% olefins at a cracking severity of 50 using a short residence time furnace? ``` **Response:** ``` The expected yield profile is: Ethylene 35.2%, Propylene 18.5%, Butadiene 4.1%, BTX 6.2%, and Byproducts 36.0%. ``` **Prompt:** ``` What cracking severity should I use to maximize ethylene yield with this feedstock: {'paraffins': 60, 'olefins': 20, 'naphthenes': 10, 'aromatics': 10} in a standard furnace? ``` **Response:** ``` The optimal severity to maximize ethylene yield is 75, which results in an expected ethylene yield of 42.5%. ``` **Prompt:** ``` How sensitive is the ethylene yield to changes in the paraffin content? ``` **Response:** ``` Increasing the paraffin content by 5% results in a 3.2% increase in ethylene yield. ``` ## Capabilities ### Yield Prediction Your agent calculates the exact product distribution based on feedstock and severity. ### Severity Optimization The AI finds the specific cracking intensity required to maximize target chemical production. ### Feedstock Sensitivity Analysis Your agent determines how much your output changes when feedstock composition shifts. ### Furnace Comparison The tool compares different furnace architectures to evaluate efficiency differences. ## Use Cases ### Feedstock Switching Determine how a new batch of feedstock will change your ethylene and propylene yields before you run it through the furnace. ### Targeted Yield Maximization Find the exact cracking severity needed to push ethylene production to its highest possible level. ### Equipment Design Evaluation Compare the efficiency of different furnace architectures using simulated process data. ### Operational Sensitivity Testing Run simulations to see how sensitive your plant is to small changes in paraffin or olefin concentrations. ## Benefits - Reduces manual calculation time for complex yield profiles. - Identifies optimal operating points for specific chemical targets. - Quantifies the impact of feedstock variability on production. - Provides a way to compare furnace designs through simulation. ## How It Works You connect the MCP to your AI client and start running simulations immediately. 1. Connect your preferred MCP-compatible client to Vinkius. 2. Provide your feedstock composition and furnace details to your AI agent. 3. The agent calls the specific tool needed for your calculation. 4. The MCP runs the simulation and returns the precise yield or optimization data. 5. Your agent presents the results in a clear, actionable format. ## Frequently Asked Questions **What kind of simulations can this MCP perform?** It performs steam cracking simulations, including yield profiling, severity optimization, feedstock sensitivity, and furnace efficiency comparisons. **Which AI clients can I use with this MCP?** You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code. **How does the MCP handle feedstock data?** You provide the feedstock composition, such as paraffin or olefin percentages, and the MCP uses that data to calculate the resulting product distribution. **Can I use this to optimize for specific chemicals?** Yes, the optimize_severity tool is specifically designed to find the peak yield for specific chemicals based on your feedstock. **Do I need to host the MCP myself?** No, Vinkius hosts and manages the MCP for you. You just connect your client and start working. **How can I predict the yield of ethylene?** You can use the `calculate_yield_profile` tool by providing the feedstock composition, cracking severity, and the furnace type. **Can I optimize for propylene instead of ethylene?** Yes, use the `optimize_severity` tool and set the target product to 'propylene'. **How do I compare different furnace types?** Use the `compare_furnace_efficiency` tool to evaluate how different furnace architectures perform for your specific feedstock and severity settings.