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Connect Reaction Mechanism Predictor 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. Map complex chemical pathways from kinetic data.

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 Reaction Mechanism Predictor.

  1. 01

    Analyze mechanism pathway

    This capability reconstructs the most likely sequence of elementary steps using your experimental evidence.

  2. 02

    Estimate intermediate concentrations

    Use this to predict the steady-state concentrations of transient intermediates during a reaction.

  3. 03

    Evaluate product distribution

    This capability calculates the ratio of different products formed when a reaction can follow multiple pathways.

  4. 04

    Detect catalytic loops

    It identifies catalytic cycles by finding species that are consumed and then regenerated.

Real work

What teams actually run

01

Mechanism Verification

Compare a proposed sequence of steps against observed rate laws.

02

Yield Optimization

Predict how branching at an intermediate affects the final product distribution.

03

Catalyst Discovery

Check if a specific species is acting as a catalyst within a reaction loop.

04

Kinetic Modeling

Estimate steady-state concentrations for transient species in a reaction network.

One connector, every AI

Reaction Mechanism Predictor 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 Reaction Mechanism Predictor 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

908ms average. Fast in production.

Reaction Mechanism Predictor is checked daily against the live service.

Daily averagePeak 1148ms
Oct 3Today
Fastest day
647ms
Slowest day
1148ms
14-day trend
Improving-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 Reaction Mechanism Predictor, so you can see the experience inside your AI.

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

Reaction Mechanism Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_PcxAkkosbU6BeHBqRY9SAhuOQZnVrbbyjumvL9L3/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 — Reaction Mechanism Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "reaction-mechanism-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_PcxAkkosbU6BeHBqRY9SAhuOQZnVrbbyjumvL9L3/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 Reaction Mechanism Predictor in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Reaction Mechanism Predictor owners hand off.

This MCP is built for researchers working in chemical kinetics and reaction modeling.

  • 01

    Physical Chemists

    They hand off experimental rate laws to the AI to find probable mechanisms.

  • 02

    Chemical Engineers

    They use it to predict product yields and intermediate behavior in reactors.

  • 03

    Catalysis Researchers

    They use the capability to identify and verify catalytic cycles in complex systems.

FAQ

Questions Reaction Mechanism Predictor owners ask.

  • 01

    What 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 your client and it works.

  • 03

    Can this MCP predict product ratios?

    Yes, the evaluate_product_distribution capability predicts the ratio of different products when multiple pathways are possible.

  • 04

    How does it identify catalysts?

    The detect_catalytic_loops capability looks for species that are consumed and then regenerated during the reaction.

  • 05

    What kind of data does the mechanism capability need?

    The analyze_mechanism_pathway capability uses experimental evidence like rate laws and reactant/product information.

  • 06

    How can I reconstruct a reaction mechanism?

    You can use the analyze_mechanism_pathway capability by providing the experimental rate law, reactants, and products.

  • 07

    Can this capability identify catalysts?

    Yes, the detect_catalytic_loops capability identifies species that are consumed and regenerated within the mechanism.

  • 08

    How do I calculate intermediate concentrations?

    Use the estimate_intermediate_concentrations capability with the mechanism steps and initial reactant concentrations.

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