MCP For Claude Marketplace
Sampling System Design

Sampling System Design MCP Connector for Claude

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Calculates optimal sampling parameters using Gy's sampling theory.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized tools for process monitoring systems. It uses Gy's sampling theory to calculate the necessary calculate_required_mass to meet accuracy targets, determine the ideal optimize_cutter_speed for mechanical probes, and establish the correct determine_sampling_frequency based on material flow and stability. It also includes validate_sampling_plan to ensure all parameters are statistically viable.

sampling-theorygy-formulaprocess-monitoringmaterial-sciencequality-control

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

calculate_required_mass

Determines the total mass of material needed to meet specific accuracy goals

determine_sampling_frequency

Establishes how often the system should trigger a sampling event

optimize_cutter_speed

Calculates the ideal speed for a mechanical sampling probe or cutter

validate_sampling_plan

Performs a final sanity check on a complete set of parameters

See how to talk to your AI agent using Sampling System Design.

How much mass do I need for a material with 0.2 heterogeneity and 5% target accuracy with a 0.1 particle size ratio?

The required sampling mass is 450.5 kg.

What is the recommended cutter speed for a 50kg sample, 1200kg/m3 density, and 0.05m probe diameter?

The recommended speed is 1.2 m/s, with an operational range of 0.8 to 1.5 m/s.

Is a plan with 100kg mass, 10 events per hour, 0.05 accuracy, and 0.1 heterogeneity viable?

Yes, the plan is viable with a confidence level of 95%.

The `calculate_required_mass` tool uses a heterogeneity coefficient to adjust the required sample mass, ensuring higher variance materials are captured accurately.

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