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 14-day trial (no card required). Personal: $39/month includes shared memory across AI apps, 700K web-based AI tokens and 50M memory-indexing tokens per month. Pro: $119/month includes everything in Personal plus AI team for whole jobs, scheduled work, 1.8M web-based AI tokens and 200M memory-in
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Key features
Shared memory across 21 AI apps
Morning brief with follow-ups, meetings and money changes
Auto-sorting task board by priority
Separate workspaces per client or project
Scheduled AI agents for recurring work
Financial tracking by AI app and task
Reports and decks that auto-update
Campaign planning and asset generation
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
Stop copy-pasting context by using one shared memory across every AI you already pay for
682 built-in actions your AI can take, each one logged and requiring approval before sending
Hard billing ceiling at your plan price—AI pauses rather than surprise charges
Separate workspace per client, product or team with unified view across all
Independently tested security with AES-256-GCM encryption and Google verification
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
GreatArrow.ai
PLCGateway AI MCP