ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Concrete Embed Design with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Design embedment plates in concrete using ACI standards.

Included with plan

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

Complete set · 4 capabilities

The complete Concrete Embed Design capability set.

These are the exact actions your AI can choose when you ask it to work with Concrete Embed Design.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Concrete Embed Design.

  1. 01

    Calculate anchor selection

    Determines the required anchor bolt diameter and quantity based on the applied loads

  2. 02

    Calculate embedment depth

    Determines the necessary depth for the anchors to ensure sufficient concrete breakout and pull-out strength

  3. 03

    Calculate plate thickness

    Calculates the required thickness of the steel embedment plate

  4. 04

    Validate group action

    Verifies if the selected anchor arrangement is valid given the concrete geometry

Observed, not estimated

1181ms average. Fast in production.

Concrete Embed Design is checked daily against the live service.

Daily averagePeak 1181ms
Sep 2Today
Fastest day
1181ms
Slowest day
1181ms
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 Concrete Embed Design, so you can see the experience inside your AI.

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

Concrete Embed Design Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_qsHg5RVZx0KAbFRNuTxrkVhIu3Epa0tW9dL9r8AI/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 — Concrete Embed Design capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "concrete-embed-design-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_qsHg5RVZx0KAbFRNuTxrkVhIu3Epa0tW9dL9r8AI/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

FAQ

Questions Concrete Embed Design owners ask.

  • 01

    Which engineering standards does this capability follow?

    The design calculations follow ACI Appendix D and Chapter 17 standards for concrete design.

  • 02

    Can I calculate the required plate thickness?

    Yes, you can use the calculate_plate_thickness capability to determine the minimum steel plate thickness required for your specific loads and dimensions.

  • 03

    How does the capability handle edge effects?

    The calculate_embedment_depth capability incorporates edge distance to adjust the capacity of the concrete breakout cone, ensuring the design accounts for proximity to concrete edges.