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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Catalyst-Effect-Model with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Models chemical reaction rate changes caused by catalysts.

Included with plan

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Catalyst-Effect-Model capability set.

These are the exact actions your AI can choose when you ask it to work with Catalyst-Effect-Model.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Catalyst-Effect-Model.

  1. 01

    Calculate rate enhancement

    Determines how many times faster a reaction occurs when a catalyst is present

  2. 02

    Compare temperature sensitivity

    Evaluates how much more (or less) sensitive the catalyzed reaction is to temperature changes

  3. 03

    Generate energy profile

    Provides a description of the energy states for both the original and the catalyzed pathways

  4. 04

    Model enzyme saturation

    Predicts reaction behavior when the catalyst is a biological enzyme

Observed, not estimated

848ms average. Fast in production.

Catalyst-Effect-Model is checked daily against the live service.

Daily averagePeak 928ms
Aug 31Today
Fastest day
789ms
Slowest day
928ms
14-day trend
Slowing+8%

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 Catalyst-Effect-Model, so you can see the experience inside your AI.

It does not authenticate your account with Catalyst-Effect-Model. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Catalyst-Effect-Model Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_5vGhrAxjQGuhTmd4SXBAC93t9yhCGsUGa5qQ0riK/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Catalyst-Effect-Model capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "catalyst-effect-model-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_5vGhrAxjQGuhTmd4SXBAC93t9yhCGsUGa5qQ0riK/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 Catalyst-Effect-Model owners ask.

  • 01

    How do I calculate the speed increase from a catalyst?

    You can use the calculate_rate_enhancement capability by providing the uncatalyzed activation energy, the catalyzed activation energy, and the current temperature.

  • 02

    Can this model biological enzymes?

    Yes, the model_enzyme_saturation capability is specifically designed to predict reaction behavior for biological catalysts using Vmax and Km values.

  • 03

    Does it support temperature sensitivity analysis?

    Yes, use compare_temperature_sensitivity to evaluate how much the reaction rate fluctuates with temperature changes based on the activation energy.

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