MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
Wake AI agents the moment something new happens in your app
Stage
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Based in
TR
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Free: $0 per month with 50,000 deliveries included. Starter: $29 per month with 50,000 deliveries included, then $0.10 per 1,000 deliveries beyond that. Custom: Volume discounts and custom throughput available on agreed terms.
Key features
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
Works with Claude Code, Codex, Cursor, Copilot CLI, ChatGPT and more
Activity and consent records in console
50,000 deliveries per month included on all plans
What makes it different
Built-in MCP server in every product, no separate AI add-on or cloud service needed
Production data remains on-premise; nothing sent to cloud unless user's chosen AI model requires it
Drafts protect production: AI-created screens and dashboards reviewed before going live
Same access controls for AI as for people: roles, rights and logging
Assists in user's own language and explains PLCGateway features through built-in help
Plugs into MCP servers you already run and publish
Same code works across all agents
Five-minute integration with just three method calls
Works with agents users already run without new installations
PLCGateway AI MCP
Wakeshift