MCP For Claude Marketplace
Soil Texture Classifier

Soil Texture Classifier MCP Connector for Claude

A+

Classifies soil texture using the USDA soil texture triangle based on particle size distribution.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized tools for soil scientists and agricultural engineers to determine soil texture classifications. By inputting the percentages of sand, silt, and clay, users can utilize classify_soil_texture to identify the specific USDA texture class. The server also includes validate_composition to ensure laboratory measurements sum to exactly 100%, get_texture_boundaries to retrieve threshold ranges for the 12 USDA classes, and batch_classify_samples for processing multiple samples at once. It is designed to handle edge cases by providing warnings when soil compositions fall near classification boundaries.

soilusdaagriculturegeologyclassification

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

validate_composition

Verify if a set of laboratory measurements is mathematically sound

batch_classify_samples

Process multiple laboratory samples in a single operation

classify_soil_texture

The sum must be exactly 100. Identify the specific USDA texture class for a given soil sample

get_texture_boundaries

Retrieve the definitions or threshold ranges for the 12 USDA texture classes

See how to talk to your AI agent using Soil Texture Classifier.

Classify a soil sample with 40% sand, 40% silt, and 20% clay.

The soil texture is classified as Loam.

Check if a sample with 50% sand, 45% silt, and 5% clay is valid.

The composition is valid as the total percentage is 100%.

What are the boundaries for the Clay texture class?

The Clay texture class is defined by specific minimum clay content thresholds within the USDA triangle.

You can use the `validate_composition` tool to verify that your sand, silt, and clay percentages sum to exactly 100% before attempting to classify the texture.

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