What kind of data does this MCP need?

This MCP requires raw experimental data points from adsorption studies. Typically, you'll provide pairs of values, such as equilibrium concentration and the amount of substance adsorbed.

What is the difference between Langmuir and Freundlich models?

The Langmuir model assumes a single-layer adsorption pattern, while the Freundlich model is used when the surface is heterogeneous or allows for multilayer adsorption.

Does this MCP tell me if my experiment was successful?

It doesn't grade your experiment, but it provides hard numbers. It calculates the adsorption efficiency and tells you which mathematical model best describes the observed removal process.

Can I use this for anything other than water treatment?

The MCP is based on general adsorption principles. As long as your process involves binding a substance to a solid material, you can use it to model the results.

What does R-squared mean in this context?

R-squared is a statistical value that measures how well your data fits the chosen model. A value closer to 1 indicates a better, more accurate fit.

How do I know which model fits my data best?

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

Can I calculate removal efficiency directly?

Yes, the calculate_adsorption_efficiency capability calculates the removal percentage and the mass transfer ratio using your concentration and mass data.

What kind of data is required for fitting?

The capabilities require an array of data points, where each point contains the equilibrium concentration and the adsorbed amount.

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Connect Adsorption Isotherm Fitting to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Accurately model chemical removal processes from raw data.

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Adsorption Isotherm Fitting.

01
Fit freundlich isotherm
Determines if the data follows a multilayer or heterogeneous surface adsorption pattern using the Freundlich model
02
Calculate adsorption efficiency
Evaluates how effectively a specific adsorbent removes a substance from a solution at a given concentration
03
Compare isotherm models
Evaluates which of the primary models (Langmuir or Freundlich) provides the best fit for a specific dataset
04
Fit langmuir isotherm
Determines if the data follows a single-layer adsorption pattern using the Langmuir model

Real work

What teams actually run

Water Purification Studies

You test a new activated carbon filter on heavy metals. The MCP calculates the removal efficiency and determines if the adsorption follows a Langmuir pattern.

Pollutant Removal Optimization

A lab generates data on dye removal. You use the MCP to compare Langmuir and Freundlich models to select the best theoretical fit for the process.

Material Characterization

You are testing a novel polymer. The MCP helps you fit the data using the Freundlich model to understand its heterogeneous surface binding capacity.

Academic Research

You need to publish a paper on adsorption. The MCP provides the necessary mathematical validation by fitting and comparing multiple isotherm models.

One connector, every AI

Adsorption Isotherm Fitting works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Adsorption Isotherm Fitting to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

925ms average. Fast in production.

Adsorption Isotherm Fitting is checked daily against the live service.

Daily averagePeak 1181ms

Oct 3Today

Fastest day: 638ms
Slowest day: 1181ms
14-day trend: Slowing+10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Adsorption Isotherm Fitting, so you can see the experience inside your AI.

It does not authenticate your account with Adsorption Isotherm Fitting. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Adsorption Isotherm Fitting Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_yxtX0mjDmrKHplBeppFQ6m4oUeOLmyOfBi549JGw/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Adsorption Isotherm Fitting capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "adsorption-isotherm-fitting-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_yxtX0mjDmrKHplBeppFQ6m4oUeOLmyOfBi549JGw/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Adsorption Isotherm Fitting in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Adsorption Isotherm Fitting owners hand off.

This MCP is essential for researchers and engineers working with chemical separation and environmental cleanup. If your job involves analyzing how much a material can absorb, this capability provides the necessary mathematical rigor. You hand off raw concentration and mass data to your AI client, and it returns a definitive model fit.

01
Environmental Chemist
Uses the MCP to model pollutant removal from water samples, confirming cleanup effectiveness.
02
Materials Scientist
Uses the MCP to characterize the surface chemistry of new adsorbents, determining their binding capacity.
03
Research Engineer
Uses the MCP to compare different adsorption mechanisms (Langmuir vs. Freundlich) to optimize material design.

FAQ

Questions Adsorption Isotherm Fitting owners ask.

01
What kind of data does this MCP need?
This MCP requires raw experimental data points from adsorption studies. Typically, you'll provide pairs of values, such as equilibrium concentration and the amount of substance adsorbed.
02
What is the difference between Langmuir and Freundlich models?
The Langmuir model assumes a single-layer adsorption pattern, while the Freundlich model is used when the surface is heterogeneous or allows for multilayer adsorption.
03
Does this MCP tell me if my experiment was successful?
It doesn't grade your experiment, but it provides hard numbers. It calculates the adsorption efficiency and tells you which mathematical model best describes the observed removal process.
04
Can I use this for anything other than water treatment?
The MCP is based on general adsorption principles. As long as your process involves binding a substance to a solid material, you can use it to model the results.
05
What does R-squared mean in this context?
R-squared is a statistical value that measures how well your data fits the chosen model. A value closer to 1 indicates a better, more accurate fit.
06
How do I know which model fits my data best?
You can use the compare_isotherm_models capability, which evaluates both Langmuir and Freundlich models and identifies the best fit based on the highest R-squared value.
07
Can I calculate removal efficiency directly?
Yes, the calculate_adsorption_efficiency capability calculates the removal percentage and the mass transfer ratio using your concentration and mass data.
08
What kind of data is required for fitting?
The capabilities require an array of data points, where each point contains the equilibrium concentration and the adsorbed amount.

Explore

More in Mathematics

Connect Adsorption Isotherm Fitting to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Fit freundlich isotherm

Calculate adsorption efficiency

Compare isotherm models

Fit langmuir isotherm

What teams actually run

Water Purification Studies

Pollutant Removal Optimization

Material Characterization

Academic Research

Building your own app? The connector is yours to use.

Adsorption Isotherm Fitting Connector

Claude Desktop

Environmental Chemist

Materials Scientist

Research Engineer

What kind of data does this MCP need?

What is the difference between Langmuir and Freundlich models?

Does this MCP tell me if my experiment was successful?

Can I use this for anything other than water treatment?

What does R-squared mean in this context?

How do I know which model fits my data best?

Can I calculate removal efficiency directly?

What kind of data is required for fitting?

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