Shrimp Feed & Growth Modeler

Shrimp Feed & Growth Modeler MCP Connector for Claude

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Predictive modeling for shrimp growth, feed requirements, and survival risk.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides advanced predictive modeling for shrimp aquaculture. It connects AI agents to biological and environmental data to calculate growth trajectories, feed efficiency, and harvest timelines. Using get_growth_projection, agents can estimate harvest dates and final biomass. The calculate_feed_requirements tool determines daily feed needs, while estimate_survival_and_risk assesses health threats based on water parameters. Finally, analyze_pond_efficiency compares real-world performance against species-specific biological optima.

shrimpaquaculturegrowth-modelingfcrbiomass

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

calculate_feed_requirements

Determines the amount of feed needed to sustain growth

estimate_survival_and_risk

Evaluates the likelihood of shrimp survival and potential disease impact

get_growth_projection

Predicts the growth trajectory, expected harvest date, and final biomass

analyze_pond_efficiency

Compares current growth and feed performance against theoretical species optima

See how to talk to your AI agent using Shrimp Feed & Growth Modeler.

How many days until my L. vannamei reach 20g if I have 500kg of biomass and the water is 28°C?

Based on the current parameters, it will take approximately 45 days to reach the target weight, with an estimated final biomass of 520kg.

What is the daily feed requirement for 1000kg of P. monodon at 26°C?

The daily feed requirement for 1000kg of biomass is 25.5kg, with a predicted FCR of 1.4.

Assess the survival risk for my pond with 25°C temperature and medium management intensity.

The predicted survival rate is 85% with a low disease risk score.

The model currently supports L. vannamei (Whiteleg shrimp) and P. monodon (Giant tiger prawn).

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