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Connect Catalyst-Effect-Model to ChatGPT, Claude and Gemini

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. Calculate reaction rate changes and energy profiles instantly.

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

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.

A futuristic MCP client docking bay
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 Catalyst-Effect-Model.

  1. 01

    Calculate rate enhancement

    This capability determines exactly how many times faster a reaction proceeds when you add a catalyst.

  2. 02

    Compare temperature sensitivity

    Use this to evaluate if a catalyzed reaction is more or less sensitive to temperature changes than the original.

  3. 03

    Generate energy profile

    This capability provides a detailed description of the energy states for both the original and the catalyzed reaction pathways.

  4. 04

    Model enzyme saturation

    This capability predicts reaction behavior specifically when the catalyst is a biological enzyme.

Real work

What teams actually run

01

Catalyst Efficiency Testing

Determine how much a specific catalyst speeds up a reaction by calculating the rate enhancement factor.

02

Enzyme Behavior Modeling

Predict how an enzyme will react to different substrate concentrations using saturation modeling.

03

Reaction Pathway Visualization

Get a clear description of energy states for both catalyzed and original pathways.

04

Thermal Stability Checks

Check how temperature changes will affect the sensitivity of your catalyzed reaction.

One connector, every AI

Catalyst-Effect-Model 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 Catalyst-Effect-Model 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

873ms average. Fast in production.

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

Daily averagePeak 986ms
Oct 3Today
Fastest day
759ms
Slowest day
986ms
14-day trend
Improving-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

Guided setup for Claude? Set up Catalyst-Effect-Model in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Catalyst-Effect-Model owners hand off.

This MCP is built for researchers and engineers working in chemical kinetics and biochemistry.

  • 01

    Chemical Engineers

    They use the MCP to model how catalysts will affect industrial reaction rates.

  • 02

    Biochemists

    They hand off enzyme saturation modeling and kinetic predictions to their AI agent.

  • 03

    Computational Chemists

    They use the energy profile capabilities to visualize reaction pathways.

FAQ

Questions Catalyst-Effect-Model owners ask.

  • 01

    What can this MCP do for chemical modeling?

    It models how catalysts influence reaction rates, generates energy profiles, and predicts enzyme saturation.

  • 02

    Can I use this for biological enzymes?

    Yes, the model_enzyme_saturation capability is specifically designed to predict reaction behavior for biological enzymes.

  • 03

    How do I see the energy states of a reaction?

    You can use the generate_energy_profile capability to get a description of the energy states for both catalyzed and uncatalyzed pathways.

  • 04

    Does this MCP work with Claude or Cursor?

    Yes, it works with any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 05

    Can I check temperature sensitivity?

    Yes, the compare_temperature_sensitivity capability evaluates how much more or less sensitive a catalyzed reaction is to temperature changes.

  • 06

    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.

  • 07

    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.

  • 08

    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.

Connect Catalyst-Effect-Model to Claude, Cursor, ChatGPT & more