Industrial MCP Services | 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.

Engineer industrial data services for AI agents

Industrial data is often locked in silos behind various protocols that prevent it from being accessible and contextualized for AI agents.

To address this challenge, HighByte Intelligence Hub acts as an abstraction layer in your enterprise architecture to successfully scale your agentic AI strategy across sites.

Use the MCP Server and Pipelines to “MCP-enable” any industrial system with governance, security, and context.
Localize, consolidate, and control access to third-party MCP server nodes on the plant floor using the MCP Client.
Streamline oversight of MCP Tools using the MCP Services view.

Use AI agents to configure industrial data pipelines

AI Agents can access and work with the configuration plane in HighByte Intelligence Hub. This allows you to jumpstart your Industrial DataOps journey by experimenting with, reverse engineering, and refining AI-generated configuration.

Allow AI agents to discover and reason with Pipelines in the Intelligence Hub.
Prompt AI agents to create and update Pipelines using natural language.

MCP Server Capabilities

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 Services in HighByte Intelligence Hub expose both data and configuration tools. Curate contextualized data for AI use cases and connect AI agents to the Industrial MCP Server to create and update product configuration.

Using MCP in HighByte Intelligence Hub

The embedded MCP Server allows you to expose data pipelines as “tools” that enable AI agents to securely and accurately use industrial data from the Edge with HighByte Intelligence Hub. Watch this video to learn about the important components of an Industrial MCP Server and how to get started with Model Context Protocol (MCP) for industrial use cases. Curating data for Agentic AI platforms just got a lot easier.

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.

AI + DataOps = Infinite Apps

What if you could use natural language to create a visualization that can quickly diagnose and resolve an equipment problem on your plant floor? Now you can. In this video, Aron Semle demonstrates how HighByte Intelligence Hub provides the context needed for AI to build ad hoc visualizations and applications. Learn to build MCP tools that browse and read real-time and historical data and then use the REST API to expose the data. Leveraging natural language to build applications provides greater self-service and efficiency on the plant floor and makes industrial AI use cases more attainable.

MCP SERVICES 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

Monitor the MCP Server's data tools as well as their title, description, status, and linked configuration from the MCP Services view

Connect to third-party MCP servers using the MCP Client connection to consolidate and govern agentic workflows

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

Create data pipelines that can be invoked as data tools by third-party MCP clients

MCP Services for Industry

Connect AI Agents to HighByte Intelligence Hub

Engineer industrial data services for AI agents

Use AI agents to configure industrial data pipelines

MCP Server Capabilities

MCP Enablement

MCP Control

MCP Scalability

Using MCP in HighByte Intelligence Hub

AI Agents & HighByte Intelligence Hub

AI + DataOps = Infinite Apps

MCP SERVICES FEATURES AND FUNCTIONALITY

Use HighByte Intelligence Hub to complete the following tasks:

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