PLCGateway AI MCP
MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
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Model Context Protocol server built into PLCGateway products, enabling AI assistants to work with industrial equipment, production data and SCADA systems with
About PLCGateway AI MCP
PLCGateway includes an MCP server in every product, allowing AI assistants and agents to perform industrial automation tasks. Assistants can connect machines by listing protocols, creating and testing devices, and adding tags with descriptions. They can build process screens and report dashboards for review, define machines for OEE calculation across discrete, continuous or batch production, and answer questions about values, history, alarm statistics, batches and production data in plain language.
The system enforces the same role-based access control as people: viewer, operator and administrator rights apply to AI assistants, with configuration tools available only to administrator sessions or dedicated tokens. Data stays on the customer's hardware; PLCGateway sends nothing to the cloud by itself. Screens and dashboards created by assistants are drafts that people review before going live, and every write is logged with the user's name.
- mcp-server
- ai-assistants
- data-security
- industrial-automation
- edge deployment
- plc scada
- oee production
Features worth knowing
- Connect machines and create devices from plain language instructions
- Build process screens and report dashboards that engineers review before deployment
- Define production assets and calculate OEE for discrete, continuous or batch processes
- Query alarm statistics and production data in natural language
- Support MCP protocol over network HTTP or local stdio connections
- Works with any MCP-compatible AI client including desktop and self-hosted models
- Role-based access control matching viewer, operator and administrator permissions
- Audit logging of every write operation with user identification
- Acknowledge alarms and record batch results within user permissions
- Generate Python code examples for REST API integration
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PLCGateway AI MCP metrics
| Metric | Value |
|---|---|
| Domain Rating | 0 no change since last check |
| Trust Flow | 0 no change since last check |
| Citation Flow | 0 no change since last check |
| Referring domains | 0 no change since last check |
| External backlinks | 0 no change since last check |
Ahrefs Domain Rating scanned 6 Nov 2026, updated 3 Nov 2026. Majestic scanned 3 Nov 2026, updated 3 Nov 2026. Link stats via Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
PLCGateway AI MCP domain facts
Reveal the domain facts
| Domain age | 23 days |
|---|---|
| Registered | |
| Expires | |
| Registrar | Nics Telekomunikasyon A.S. |
| DNSSEC | Not signed |
PLCGateway AI MCP launch results
| Measure | At launch, then latest |
|---|---|
| Domain Rating (Ahrefs) | 0 to 0 no change since launch 3 Nov 2026, then 5 Nov 2026 |
| Trust Flow (Majestic) | 0 first measured 3 Nov 2026 |
| Referring domains (Majestic) | 0 first measured 3 Nov 2026 |
Day 2 since launch. Next receipt: day 30, 3 Dec 2026. The figures report a change; they do not say what caused it, and many things can. No figure here is a guess.
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FAQ
- What is MCP and why does PLCGateway have it built in?
- The Model Context Protocol is the open standard that AI assistants and agents use to call tools and read data from other software. PLCGateway includes an MCP server in every product so an assistant can work with the plant the way an engineer does, performing tasks like listing protocols, creating and testing devices, adding tags, building screens and reports, defining machines for OEE, and reading values, history, alarms, production, energy and maintenance figures. No separate AI add-on or cloud service is needed.
- Which assistants and agents can I use?
- Any client that supports MCP can be used, including desktop assistants, coding assistants, chat clients, automation agents and self-hosted models. The connection works over Streamable HTTP on the network or stdio on the same machine, with exact connection details and configuration tokens shown in the AI/MCP page in PLCGateway.
- Does my production data leave the plant?
- PLCGateway runs on your own hardware and sends nothing to any cloud by itself. The assistant receives only the results of the tool calls it makes, not the entire database. If the assistant runs a cloud model, those results travel to that model's provider under your contract with them; with a self-hosted model nothing leaves your network.
- Can the assistant change my plant without me noticing?
- No. Reading needs viewer rights, writing values needs operator rights and configuration needs administrator rights, exactly as for people. Screens and dashboards created by an assistant are drafts that people review before they go live, configuration tools are only available to an administrator session or a local connection, and every write is logged with the user's name.
- What does a typical conversation with an AI assistant look like?
- A typical conversation might start with 'Add the Siemens S7-1500 at 192.168.1.20 and its tank level' which creates and tests the device and tag. Questions like 'How many alarms did line 3 have in the last two hours and which were the top five?' become alarm statistics queries. Requests like 'Draft a shift report for the filling line with output, OEE and energy per bottle' produce dashboards for review. The assistant answers in your language and reads PLCGateway's own help when needed.
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