MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
Stage
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Founded
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Based in
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TR
Pricing model
Freemium
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Pricing
Free: $0 forever with 1 agent per engine (up to 3 when friends refer), 1 GB memory. Pro: $12/month or $99/year per engine with 10 agents and 25 GB memory. Unlimited: $39/month or $299/year per engine with unlimited agents and 100 GB memory. Enterprise: from $6,000/year per install on your own server
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Key features
Connect ChatGPT, Claude, Claude Code and Cursor with a few clicks
AI tools save decisions, notes, people, customers and files
Search with semantic understanding, not just exact words
Automatic summaries by day, week and month
Link related memories automatically
Prevent duplicate memories with deduplication
Export all data as Markdown and JSON
Separate engines for clients with no data crossing
Fine-grained access control (read or read-and-save)
Full history tracking for every change
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
What makes it different
Keeps AI tools from forgetting context between sessions
Data isolated per engine with no sharing between customers
Fully portable—export anytime or delete permanently
Pay per engine, never per person added to team
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
Context Engine
PLCGateway AI MCP