MCP For Claude Marketplace
Peanut Aflatoxin Risk Model

Peanut Aflatoxin Risk Model MCP Connector for Claude

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Predict aflatoxin contamination risk and economic impact in peanut crops.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized tools for managing aflatoxin risks in peanut production. It connects AI agents to predictive models that analyze environmental stressors like soil temperature and drought to estimate toxin concentrations. Users can use predict_contamination_risk to assess contamination likelihood, estimate_economic_impact to project financial losses, recommend_mitigation_strategy for harvest and segregation advice, and validate_regulatory_compliance to ensure crops meet USA or Europe standards.

agricultureaflatoxinpeanutrisk-predictionfood-safety

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

estimate_economic_impact

Calculates the projected financial loss based on the contamination risk

recommend_mitigation_strategy

Provides actionable advice on when to harvest and how to sort the crop

validate_regulatory_compliance

Checks if the predicted levels meet the specific requirements of US or European markets

predict_contamination_risk

Calculates the estimated toxin concentration and the likelihood of regulatory non-compliance

See how to talk to your AI agent using Peanut Aflatoxin Risk Model.

What is the predicted aflatoxin risk if soil temperature is 30C, drought stress is 0.5, insect damage is 0.2, harvest is 2 days late, and curing humidity is 60%?

The predicted aflatoxin concentration is 12 ppb with a low risk level.

Will a predicted concentration of 25 ppb be compliant for the USA market?

No, the concentration exceeds the FDA action level for the USA.

What should I do to mitigate risk if the predicted concentration is 15 ppb and I have standard drying facilities?

You should prioritize immediate harvest and implement a segregation strategy to separate high-risk batches.

The model uses `predict_contamination_risk` to evaluate cumulative stressors including soil temperature, drought intensity, insect damage, and curing humidity to estimate toxin levels.

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