supOS MCP Server is an MCP server that integrates AI assistants with the supOS industrial operating system via its open APIs. Built for industrial IoT engineers, plant operators, and automation developers, this server establishes a direct communication channel between Model Context Protocol clients and supOS instances. By exposing supOS endpoints through standardized tools, it enables LLMs to inspect industrial topic structures, access real-time operational parameters, and retrieve historical telemetry records directly from factory floor devices. Furthermore, the integration allows assistants to execute SQL queries across supOS datastores, helping operators diagnose production anomalies, analyze continuous sensor trends, and generate aggregated status summaries without leaving their chat workspace. By bridging the gap between conversational AI and operational technology systems, supOS MCP Server streamlines plant monitoring workflows, supports automated shift reporting, and accelerates technical investigations across distributed industrial infrastructure.
Category: Data & Analytics
Tags: data-query, industrial-iot, SQL, supos
To install and configure the supOS MCP Server, follow these steps: 1. Visit the project repository at https://github.com/FREEZONEX/mcp-server-supos to review the latest prerequisites, installation commands, and environment variable requirements. 2. Clone the repository locally or install the necessary runtime dependencies as specified in the project documentation. 3. Configure your supOS open API credentials, host endpoints, and authentication settings according to the repository guidelines. 4. Open your MCP client configuration file (such as claude_desktop_config.json for Claude Desktop) and register the supOS server command under the mcpServers object. 5. Restart your MCP client to verify the connection and begin issuing queries.
Part of MCP Servers
supOS MCP Server is an integration tool that exposes supOS open APIs to Model Context Protocol clients. It enables AI assistants to browse topic structures, fetch real-time and historical industrial IoT data, and run SQL queries against factory systems.
The server allows AI models to query industrial topic structures, retrieve live operational variables, extract historical telemetry points, and execute SQL statements on underlying supOS datastores for diagnostic and analytics tasks.
Refer to the setup instructions on the official GitHub repository at https://github.com/FREEZONEX/mcp-server-supos. The repository details the necessary dependencies, configuration parameters, and steps required to register the server in your MCP client.
supOS MCP Server works with any standard Model Context Protocol client that supports local or external MCP tools, including Claude Desktop, Cursor, and custom agentic frameworks configured to run MCP servers.