What statistical models does this MCP support?

The MCP supports Flory, Schulz-Zimm, and Log-Normal distribution models.

Can I use this with Claude or Cursor?

Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

What molecular weight descriptors can be calculated?

The capability calculates Mn, Mw, Mz, and the Polydispersity Index (PDI).

How do I validate my polymer parameters?

You can ask your agent to use the validate_polymer_parameters capability to check if your inputs are physically realistic.

Does this MCP host the data?

Yes, Vinkius hosts the MCP and manages the execution, so you only need to connect your client once.

What statistical models are supported?

The server supports Flory (Most Probable), Schulz-Zimm, and Log-Normal distributions via the calculate_moments capability.

How can I visualize the distribution?

You can use the generate_distribution_curve capability to obtain data points for the probability density across a specified weight range.

Can I validate my parameters before running calculations?

Yes, use the validate_polymer_parameters capability to ensure your distribution type and parameters are physically realistic.

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Connect Polymer Molecular Weight Distribution Mod to your AI

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. Run statistical polymer models directly through your AI client.

Ask AI about this Connector

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.

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 Polymer Modeling Engine.

01
Compare distributions
This capability compares two different distribution models. Use it to see how different statistical approaches deviate in their predicted molecular weight averages.
02
Generate distribution curve
This capability generates a set of data points representing probability density or mass fraction. It provides the raw data needed to plot distribution curves.
03
Validate polymer parameters
This capability checks if your provided polymer parameters are physically realistic. It acts as a sanity check for your model inputs.
04
Calculate moments
This capability calculates fundamental molecular weight averages and PDI for a specific distribution. It handles the math for Mn, Mw, and Mz.

Real work

What teams actually run

Polydispersity Analysis

Use the capability to calculate PDI and compare how different models represent the same polymer sample.

Model Validation

Check if a specific set of Schulz-Zimm or Flory parameters is physically valid before running simulations.

Data Point Generation

Generate the necessary data points to create distribution curves for research reports.

Quick Moment Calculation

Get fundamental molecular weight averages for a given scale parameter in seconds.

One connector, every AI

Polymer Modeling Engine 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 Polymer Modeling Engine 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

877ms average. Fast in production.

Polymer Modeling Engine is checked daily against the live service.

Daily averagePeak 1102ms

Oct 3Today

Fastest day: 686ms
Slowest day: 1102ms
14-day trend: Slowing+9%

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 Polymer Modeling Engine, so you can see the experience inside your AI.

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

Polymer Modeling Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_xFbNk2WUJzB7T8ym1DgbxEdRuT9aWFCGbh6OGLJl/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 — Polymer Modeling Engine capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "polymer-molecular-weight-distribution-modeling-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_xFbNk2WUJzB7T8ym1DgbxEdRuT9aWFCGbh6OGLJl/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 Polymer Modeling Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Polymer Modeling Engine owners hand off.

This MCP is built for researchers and engineers working in polymer science and macromolecular chemistry.

01
Polymer Chemists
Hand off statistical modeling and PDI calculations to the agent.
02
Materials Scientists
Use the capability to validate if experimental parameters are physically possible.
03
Chemical Engineers
Compare different distribution models to predict material properties.

FAQ

Questions Polymer Modeling Engine owners ask.

01
What statistical models does this MCP support?
The MCP supports Flory, Schulz-Zimm, and Log-Normal distribution models.
02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.
03
What molecular weight descriptors can be calculated?
The capability calculates Mn, Mw, Mz, and the Polydispersity Index (PDI).
04
How do I validate my polymer parameters?
You can ask your agent to use the validate_polymer_parameters capability to check if your inputs are physically realistic.
05
Does this MCP host the data?
Yes, Vinkius hosts the MCP and manages the execution, so you only need to connect your client once.
06
What statistical models are supported?
The server supports Flory (Most Probable), Schulz-Zimm, and Log-Normal distributions via the calculate_moments capability.
07
How can I visualize the distribution?
You can use the generate_distribution_curve capability to obtain data points for the probability density across a specified weight range.
08
Can I validate my parameters before running calculations?
Yes, use the validate_polymer_parameters capability to ensure your distribution type and parameters are physically realistic.

Explore

More in Science

Connect Polymer Modeling Engine 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

Compare distributions

Generate distribution curve

Validate polymer parameters

Calculate moments

What teams actually run

Polydispersity Analysis

Model Validation

Data Point Generation

Quick Moment Calculation

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

Polymer Modeling Engine Connector

Claude Desktop

Polymer Chemists

Materials Scientists

Chemical Engineers

What statistical models does this MCP support?

Can I use this with Claude or Cursor?

What molecular weight descriptors can be calculated?

How do I validate my polymer parameters?

Does this MCP host the data?

What statistical models are supported?

How can I visualize the distribution?

Can I validate my parameters before running calculations?

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