MCP For Claude Marketplace
Nanostructure Size Distribution Analyzer

Nanostructure Size Distribution Analyzer MCP Connector for Claude

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Calculates nanoparticle size distribution metrics from DLS and TEM data.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides specialized statistical tools for nanoparticle characterization. It allows AI agents to process Dynamic Light Scattering (DLS) and Transmission Electron Microscopy (TEM) data to determine critical metrics like mean size, polydispersity index (PDI), and distribution width. Use analyze_dls_data for hydrodynamic sizing from intensity moments, analyze_tem_data for physical diameter counts, and compare_characterization to identify the difference between hydrodynamic and physical sizes.

nanoparticlesdlstemstatisticscharacterization

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

analyze_dls_data

Calculates size distribution metrics from DLS measurement sets

analyze_tem_data

Calculates size distribution metrics from direct TEM measurements

compare_characterization

Compares DLS and TEM results to identify differences

get_distribution_summary

Provides a high-level descriptive summary of a specific distribution

See how to talk to your AI agent using Nanostructure Size Distribution Analyzer.

Analyze these TEM diameters: [12.5, 13.2, 11.8, 12.9, 12.1]

The average physical diameter is 12.5 nm with a Polydispersity Index of 0.04.

What is the difference between my DLS and TEM results? DLS: {"meanSize": 25.0, "pdi": 0.1} TEM: {"meanSize": 18.0, "pdi": 0.05}

The size difference is 7.0 nm, suggesting a surface layer thickness of approximately 7.0 nm.

Get a summary for these sizes using a log-normal model: [5.0, 5.5, 6.0]

For the log-normal distribution, the mode is 5.45, the median is 5.5, and the mean is 5.48.

Provide the intensity-weighted moments as a JSON string to the `analyze_dls_data` tool.

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