MCP For Claude Marketplace
Adsorption Isotherm Fitting

Adsorption Isotherm Fitting MCP Connector for Claude

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Mathematical modeling for adsorption isotherms including Langmuir and Freundlich models.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized mathematical tools to analyze adsorption processes. It allows users to fit experimental data to standard models like fit_langmuir_isotherm for monolayer adsorption or fit_freundlich_isotherm for multilayer/heterogeneous surfaces. Users can also use compare_isotherm_models to determine the best fit based on R-squared values and calculate_adsorption_efficiency to evaluate removal performance. It serves as a bridge between experimental chemical data and precise mathematical characterization.

adsorptionisothermlangmuirfreundlichchemical-modeling

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

fit_freundlich_isotherm

Determines if the data follows a multilayer or heterogeneous surface adsorption pattern using the Freundlich model

calculate_adsorption_efficiency

Evaluates how effectively a specific adsorbent removes a substance from a solution at a given concentration

compare_isotherm_models

Evaluates which of the primary models (Langmuir or Freundlich) provides the best fit for a specific dataset

fit_langmuir_isotherm

Determines if the data follows a single-layer adsorption pattern using the Langmuir model

See how to talk to your AI agent using Adsorption Isotherm Fitting.

Compare Langmuir and Freundlich models for these data points: [{'equilibriumConcentration': 10, 'adsorbedAmount': 5}, {'equilibriumConcentration': 20, 'adsorbedAmount': 12}]

The Langmuir model is the best fit for this dataset with an R-squared of 0.98.

Calculate the adsorption efficiency if the initial concentration was 100 mg/L, the equilibrium concentration is 10 mg/L, the adsorbed amount is 5 mg/g, the adsorbent mass is 1g, and the volume is 1L.

The removal percentage is 90% and the mass transfer ratio is 5.0.

Fit a Langmuir isotherm to these points: [{'equilibriumConcentration': 5, 'adsorbedAmount': 2}, {'equilibriumConcentration': 15, 'adsorbedAmount': 6}]

The Langmuir fit results in a maximum capacity of 10.0 and an affinity constant of 0.15.

You can use the `compare_isotherm_models` tool, which evaluates both Langmuir and Freundlich models and identifies the best fit based on the highest R-squared value.

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