MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
Self-hosted memory for AI coding agents
Stage
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Founded
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Based in
TR
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Pricing model
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Pricing
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Free / Open Core (€0, unlimited for solo developers). Team (€1,490/year or €104/month for 3 months then €149/month, up to 10 users). Growth (€3,490/year or €244/month for 3 months then €349/month, up to 30 users). Enterprise (custom pricing from €8,000+/year with custom seat counts beyond 30).
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
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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
Fully offline licensing with Ed25519 cryptographic verification
Works with any MCP-compatible agent including Cursor, Claude Code, and Codex
PLCGateway AI MCP
Palace