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Connect Catalytic Cycle Analyzer to ChatGPT and Claude

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. Model reaction kinetics and catalyst stability with your AI agent.

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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 Catalytic Cycle Analyzer.

  1. 01

    Analyze cycle kinetics

    This capability identifies the sequence of steps in a cycle and pinpoints the exact kinetic bottleneck. It tells you which step is actually controlling the rate.

  2. 02

    Calculate catalytic efficiency

    Use this to get hard numbers on productivity. It calculates metrics like turnover frequency and turnover number based on your specific reaction conditions.

  3. 03

    Evaluate deactivation impact

    This capability measures how much competing degradation pathways will eat into your catalyst's productivity. It quantifies the loss caused by side reactions.

  4. 04

    Map catalyst stability

    This capability predicts how a catalyst's structure holds up against common degradation routes. It helps you spot potential structural failures before you run the reaction.

Real work

What teams actually run

01

Optimizing Cross-Coupling Reactions

Use the agent to find the bottleneck in a palladium cycle to improve reaction rates.

02

Catalyst Design Validation

Check if a new ligand structure will provide enough stability to prevent degradation.

03

Yield Loss Analysis

Determine how much a competing deactivation pathway will lower your final product amount.

04

Reaction Condition Scaling

Calculate how changes in concentration or time affect the turnover number.

One connector, every AI

Catalytic Cycle Analyzer 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Catalytic Cycle Analyzer 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

938ms average. Fast in production.

Catalytic Cycle Analyzer is checked daily against the live service.

Daily averagePeak 1197ms
Oct 3Today
Fastest day
779ms
Slowest day
1197ms
14-day trend
Slowing+32%

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 Catalytic Cycle Analyzer, so you can see the experience inside your AI.

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

Catalytic Cycle Analyzer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_6MVLIhIgNxi7l0cxcEVwQtREJJuQGC3zVYEW377g/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 — Catalytic Cycle Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "catalytic-cycle-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_6MVLIhIgNxi7l0cxcEVwQtREJJuQGC3zVYEW377g/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 Catalytic Cycle Analyzer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Catalytic Cycle Analyzer owners hand off.

This MCP is designed for researchers working in organometallic chemistry and catalysis. It bridges the gap between chemical intuition and kinetic modeling.

  • 01

    Organometallic Chemists

    They use the agent to model complex reaction cycles and predict stability.

  • 02

    Process Development Scientists

    They hand off kinetic calculations and efficiency modeling to the AI.

  • 03

    Computational Chemists

    They use the capabilities to validate theoretical models against kinetic data.

FAQ

Questions Catalytic Cycle Analyzer owners ask.

  • 01

    What AI clients can I use with this MCP?

    You can use any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 02

    Do I need to host the MCP myself?

    No. Vinkius hosts and manages the MCP for you. You just connect and start using the capabilities.

  • 03

    Can this MCP calculate Turnover Frequency (TOF)?

    Yes. The calculate_catalytic_efficiency capability is designed to calculate both TOF and TON based on your input.

  • 04

    How does it identify the rate-determining step?

    The analyze_cycle_kinetics capability looks at the sequence of steps in your cycle to find the kinetic bottleneck.

  • 05

    Does this work for non-organometallic reactions?

    The capabilities are specifically built for organometallic catalytic cycles and stability modeling.

  • 06

    How do I identify the bottleneck in a reaction?

    You can use the analyze_cycle_kinetics capability to determine the sequence of elementary steps and identify the specific rate-determining step.

  • 07

    Can I calculate the turnover frequency (TOF)?

    Yes, the calculate_catalytic_efficiency capability calculates both Turnover Frequency (TOF) and Turnover Number (TON) based on your provided rates and concentrations.

  • 08

    How does the capability handle catalyst deactivation?

    The evaluate_deactivation_impact capability assesses how competing degradation pathways reduce the catalyst's lifespan and overall productivity.

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