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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Concrete Corrosion Predictor with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Estimates reinforcement corrosion rates, spalling time, and remaining service life.

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 Corrosion Predictor capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Concrete Corrosion Predictor.

  1. 01

    Predict spalling time

    Estimates the time elapsed from the start of corrosion until physical damage (spalling) occurs

  2. 02

    Calculate corrosion rate

    Determines the instantaneous corrosion rate of the reinforcement based on environmental and material conditions

  3. 03

    Estimate remaining service life

    Calculates the remaining useful life of the structure before it reaches a critical structural limit

  4. 04

    Evaluate protection efficiency

    Assesses how effectively current coatings and concrete quality are mitigating corrosion risk

Observed, not estimated

881ms average. Fast in production.

Concrete Corrosion Predictor is checked daily against the live service.

Daily averagePeak 881ms
Sep 2Today
Fastest day
881ms
Slowest day
881ms
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 Corrosion Predictor, so you can see the experience inside your AI.

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

Concrete Corrosion Predictor Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_2l9plUlY2ueur0JLCZ7KHMNKtF7Ttc1nC01Esh9I/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 Corrosion Predictor capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "concrete-corrosion-predictor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_2l9plUlY2ueur0JLCZ7KHMNKtF7Ttc1nC01Esh9I/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 Corrosion Predictor owners ask.

  • 01

    How does the capability calculate the corrosion rate?

    The calculate_corrosion_rate capability uses concrete resistivity, chloride content, temperature, humidity, and concrete quality to determine the electrochemical degradation speed.

  • 02

    Can I predict when concrete will start to chip or spall?

    Yes, by using predict_spalling_time, you can estimate the years remaining until rust expansion causes physical spalling based on the corrosion rate and cover depth.

  • 03

    What factors influence the remaining service life?

    The estimate_remaining_service_life capability considers the current corrosion rate, the original steel section size, the critical loss threshold, and the current age of the structure.

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