Use Adsorption Isotherm Fitting with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Accurately model chemical removal processes from raw data.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete Adsorption Isotherm Fitting capability set.
These are the exact actions your AI can choose when you ask it to work with Adsorption Isotherm Fitting.
01-04
4 capabilities in this set.
Part of 4 available through Adsorption Isotherm Fitting.
- 01
Calculate adsorption efficiency
Evaluates how effectively a specific adsorbent removes a substance from a solution at a given concentration
- 02
Compare isotherm models
Evaluates which of the primary models (Langmuir or Freundlich) provides the best fit for a specific dataset
- 03
Fit freundlich isotherm
Determines if the data follows a multilayer or heterogeneous surface adsorption pattern using the Freundlich model
- 04
Fit langmuir isotherm
Determines if the data follows a single-layer adsorption pattern using the Langmuir model
Observed, not estimated
895ms average. Fast in production.
Adsorption Isotherm Fitting is checked daily against the live service.
- Fastest day
- 757ms
- Slowest day
- 1139ms
- 14-day trend
- Improving-34%
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.
https://edge.vinkius.com/vk_preview_yxtX0mjDmrKHplBeppFQ6m4oUeOLmyOfBi549JGw/mcpClaude 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.
{
"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
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.
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