Category: AI

New MCP service to use smart Data models in your local AI agent. Autonomous light management 4 Smart Data Models

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Are you building AI applications for Smart Cities, Energy, or IoT? Interoperability is often the biggest hurdle—but a new tool is making it easier to keep your LLMs “in the loop” with global standards.

Introducing the Smart Data Models MCP Server, a new reference implementation that connects Large Language Models directly to the Smart Data Models ecosystem. Built on the Model Context Protocol (MCP), this server allows AI agents to browse, retrieve, and implement standardized data schemas in real-time.

Key Features:

  • Instant Schema Access: Give your LLM the ability to look up official data models for everything from street lighting to soil sensors.

  • Enhanced Accuracy: Reduce hallucinations by providing the AI with the exact JSON-LD and NGSI-LD structures required for your project.

  • Seamless Integration: Designed for easy setup with MCP-compatible clients (like Claude Desktop), enabling a smoother developer workflow for digital twin and IoT projects.

By providing LLMs with a “dictionary” of standardized data, the Smart Data Models MCP Server ensures that your AI-driven solutions are born interoperable.

Check it out on GitHub: agaldemas/smartdatamodels-mcp

In these slides are the detailed explanation of this  that can be reached here. See below the architecture and in the README the easy configuration.

Here there is the configuration file (there are several options)

{
  "mcpServers": {
    "smart-data-models-http": {
      "autoApprove": [],
      "disabled": false,
      "type": "streamableHttp",
      "timeout": 180,
      "url": "http://127.0.0.1:3210/mcp"
    }
  }
}

The source code is available here

Thanks to Alain Galdemas for the contribution