Industrial MCP Server | HighByte Intelligence Hub

Connect AI Agents to HighByte Intelligence Hub

Model Context Protocol (MCP), an open standard originally developed by Anthropic, promotes a formal method for delivering context to AI agents. Specifically, it provides a standardized way to connect AI agents to different data sources and tools.

Unfortunately, industrial data is often locked in data silos behind various protocols that are not MCP-enabled and do not provide the context that AI agents require to make sense of the raw data. By using the MCP Server in HighByte Intelligence Hub along with the solution’s data contextualization capabilities, you can “MCP-enable” any industrial system. Precisely control data curation and monitor its use. Leverage HighByte Intelligence Hub as an abstraction layer in your enterprise architecture to successfully scale your Agentic AI strategy across sites.

MCP Enablement

Do you need to expose your OPC server, PI System historian, Ignition platform, or other system to an Agentic AI platform? Use HighByte Intelligence Hub to collect, contextualize, and expose data from these OT systems to your Agentic AI Platform of choice using MCP.

MCP Control

The Industrial MCP Server in HighByte Intelligence Hub gives you direct control over what data AI agents can access and allows you to monitor how agents interact with that data. This control is achieved by exposing pipelines in the Intelligence Hub as “tools” that the agent can call. Rather than being restricted to “out-of-the-box” toolsets, you can build and customize tools as needed, answering specific questions from AI agents and limiting hallucinations.

MCP Scalability

The Intelligence Hub provides the flexibility to enable and control data exposure from various industrial systems rather than manage dozens of MCP servers from separate vendors, each with different security and static tooling.

As an example, you can use the Intelligence Hub to expose tools X, Y, and Z to an AI agent to accomplish Goal A for your mixing machine. After proving that single use case, you can take the same tools and AI agent to the next line, area, or site, deploy the Intelligence Hub, and enable the same use case regardless of the inconsistencies between devices and systems between the two sites. The Industrial MCP Server gives you the abstraction and tooling needed to scale data engineering work and enable AI use cases.

MCP Server in HighByte Intelligence Hub

MCP exposes “tools” from software like the Intelligence Hub that LLMs can use. Imagine being able to provide your AI systems with clean, ready-to-use industrial data coming from the edge. HighByte Intelligence Hub makes this a reality using MCP and data pipelines configured in the product. Watch Aron Semle demonstrate the process of connecting these systems to converse with a LLM about the status of a factory.

AI Agents & HighByte Intelligence Hub

For AI agents to be successful, they need access to toolsets that contain contextualized and standardized data. HighByte Intelligence Hub makes this possible with an embedded MCP Server that is capable of exposing data to AI agents with tools like n8n. Watch Aron Semle demonstrate and explain how using Industrial DataOps as an AI foundation makes agents more focused and effective.

MCP SERVER FEATURES AND FUNCTIONALITY

Use HighByte Intelligence Hub to complete the following tasks:

Expose data pipelines as “tools” to AI agents, including descriptions and parameters

Create custom endpoints purpose-built for AI agents, as opposed to providing a “wrapper” to generic endpoints

Create and govern data pipelines that can be invoked by MCP clients with the API Builder

Provide AI agents with a complete view of industrial data, including ready-to-use datasets from connected devices, SCADA, MES, historians, ERP, and LIMS for real-time or historical requests