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Connect Metal Complex Stability Predictor to your AI

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 thermodynamic stability and ligand compatibility 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 Metal Complex Predictor.

  1. 01

    Evaluate complex formation

    This capability checks if a complex is likely to form under specific environmental conditions. It evaluates formation likelihood based on the provided pH levels.

  2. 02

    Predict stability constant

    This capability calculates the predicted Log K value for a metal-ligand pair. It provides the thermodynamic stability constant for the combination.

  3. 03

    Analyze chelate impact

    This capability measures the specific increase in stability caused by the chelate effect. It quantifies the entropic benefits provided by polydentate ligands.

  4. 04

    Get ligand preferences

    This capability identifies the best ligand matches for a specific metal ion. It ranks a set of ligands based on their compatibility.

Real work

What teams actually run

01

Ligand Screening

Compare multiple ligands to see which one forms the most stable complex with a target metal ion.

02

PH Stability Testing

Determine if a specific metal complex will hold together in acidic or basic solutions.

03

Chelate Design

Calculate how much stability you gain by switching from monodentate to polydentate ligands.

04

Reaction Planning

Predict the likelihood of complex formation before starting a wet lab synthesis.

One connector, every AI

Metal Complex 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 Metal Complex 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

875ms average. Fast in production.

Metal Complex Predictor is checked daily against the live service.

Daily averagePeak 1130ms
Oct 5Today
Fastest day
729ms
Slowest day
1130ms
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 Metal Complex Predictor, so you can see the experience inside your AI.

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

Metal Complex Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_X6AGGnDEVVt2rutIL4QS5iDhDCOGbRXEIUsrnFWQ/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 — Metal Complex Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "metal-complex-stability-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_X6AGGnDEVVt2rutIL4QS5iDhDCOGbRXEIUsrnFWQ/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 Metal Complex Predictor in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Metal Complex Predictor owners hand off.

This MCP is built for researchers working in coordination chemistry and inorganic synthesis. You can hand off the heavy lifting of thermodynamic modeling to your AI agent.

  • 01

    Inorganic Chemists

    They use the capability to predict the stability of new metal-ligand combinations.

  • 02

    Computational Chemists

    They use the Log K and chelate effect data to validate theoretical models.

  • 03

    Materials Scientists

    They use the formation likelihood data to design stable metal-based materials.

FAQ

Questions Metal Complex Predictor owners ask.

  • 01

    How does this MCP predict stability?

    It uses Hard and Soft Acids and Bases (HSAB) theory and analyzes the chelate effect to determine thermodynamic stability.

  • 02

    Can I check stability at different pH levels?

    Yes, the evaluate_complex_formation capability allows you to check if a complex is likely to form under specific pH conditions.

  • 03

    What is the output of the stability prediction?

    The capability provides the predicted stability constant, also known as the Log K value.

  • 04

    Does it support polydentate ligands?

    Yes, the analyze_chelate_impact capability specifically quantifies the stability increase provided by polydentate ligands.

  • 05

    Which AI clients can use this MCP?

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

  • 06

    How does the capability account for the chelate effect?

    The capability uses analyze_chelate_impact to quantify how much stability increases when a polydentate ligand replaces monodentate ligands, driven by the increase in system entropy.

  • 07

    Can I predict if a complex will form at a specific pH?

    Yes, you can use evaluate_complex_formation to determine if a complex is likely to form based on the metal ion, ligands, and the provided pH level.

  • 08

    How are ligand preferences determined?

    Ligand preferences are determined using get_ligand_preferences, which ranks ligands based on HSAB matching (Hard-Hard or Soft-Soft) and their denticity.

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