Use Polymer Modeling Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Simulate and analyze polymer molecular weight distributions using statistical models.
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 Polymer Modeling Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Polymer Modeling Engine.
01-04
4 capabilities in this set.
Part of 4 available through Polymer Modeling Engine.
- 01
Compare distributions
Compares two different distribution models
- 02
Generate distribution curve
Generates a set of data points representing the probability density or mass fraction
- 03
Validate polymer parameters
Checks if provided polymer parameters are physically realistic
- 04
Calculate moments
Calculates fundamental molecular weight averages and PDI for a given distribution
Observed, not estimated
774ms average. Fast in production.
Polymer Modeling Engine is checked daily against the live service.
- Fastest day
- 774ms
- Slowest day
- 774ms
- 14-day trend
- Stable0%
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.
https://edge.vinkius.com/vk_preview_xFbNk2WUJzB7T8ym1DgbxEdRuT9aWFCGbh6OGLJl/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 — Polymer Modeling Engine capabilities are ready to use.
{
"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
FAQ
Questions Polymer Modeling Engine owners ask.
- 01
What statistical models are supported?
The server supports Flory (Most Probable), Schulz-Zimm, and Log-Normal distributions via the calculate_moments capability.
- 02
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.
- 03
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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