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Connect Solid-State Structure 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. Predict inorganic crystal structures and unit cell dimensions 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 Solid-State Structure Predictor.

  1. 01

    Analyze composition stability

    This capability checks if a specific chemical composition will likely form a stable solid. It uses the provided ionic radii to run stability checks.

  2. 02

    Calculate unit cell dimensions

    This capability estimates the physical size of a unit cell. It uses the specific ions and the identified structure to get the dimensions.

  3. 03

    Identify structure type

    This capability matches a predicted coordination environment to a known crystal structure template.

  4. 04

    Predict coordination geometry

    This capability determines the most likely coordination number and geometric arrangement. It calculates these based on the radius ratio.

Real work

What teams actually run

01

New Material Screening

Test if a theoretical chemical composition is likely to form a stable solid before running expensive simulations.

02

Structural Prediction

Determine the most probable coordination geometry for a set of ions.

03

Unit Cell Modeling

Get quick estimates of unit cell edge lengths and volumes for specific crystal structures.

04

Template Identification

Match a predicted coordination environment to a standard crystal structure type.

One connector, every AI

Solid-State Structure 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 Solid-State Structure 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

873ms average. Fast in production.

Solid-State Structure Predictor is checked daily against the live service.

Daily averagePeak 1118ms
Oct 3Today
Fastest day
763ms
Slowest day
1118ms
14-day trend
Stable+3%

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 Solid-State Structure Predictor, so you can see the experience inside your AI.

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

Solid-State Structure Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_JhFgkvpfi2tGd9JtoP9eYO8VsefTbdOJh7exo0nQ/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 — Solid-State Structure Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "solid-state-structure-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_JhFgkvpfi2tGd9JtoP9eYO8VsefTbdOJh7exo0nQ/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 Solid-State Structure Predictor in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Solid-State Structure Predictor owners hand off.

This MCP is built for researchers and engineers working in materials science and inorganic chemistry.

  • 01

    Materials Scientists

    They use it to quickly screen new chemical compositions for structural viability.

  • 02

    Crystallographers

    They use it to automate the prediction of coordination environments and unit cell parameters.

  • 03

    Computational Chemists

    They use it to bridge the gap between composition data and structural models.

FAQ

Questions Solid-State Structure Predictor owners ask.

  • 01

    What can this MCP predict for inorganic solids?

    It predicts coordination geometry, identifies crystal structure types, estimates unit cell dimensions, and evaluates chemical stability.

  • 02

    Which AI clients can use this MCP?

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

  • 03

    How does it determine stability?

    The capability evaluates stability by analyzing the provided ionic radii and applying radius ratio rules.

  • 04

    Do I need to host the MCP myself?

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

  • 05

    Can it calculate unit cell volume?

    Yes, the calculate_unit_cell_dimensions capability provides both edge lengths and cell volumes.

  • 06

    What inputs are required for prediction?

    You need to provide the cation radius and the anion radius to determine the coordination geometry and structure type.

  • 07

    Can I predict the unit cell size?

    Yes, by using calculate_unit_cell_dimensions after identifying the structure type, you can estimate the edge length and volume.

  • 08

    How is stability determined?

    Stability is assessed by comparing the radius ratio of the ions against known geometric thresholds for stable inorganic structures.

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