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: Personal memory up to 1,000 records with no time limit. Pro: $5 per month or $50 per year for unlimited personal memory. Team: $10 per month plus $5 per member per month for shared memory and collaboration.
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Key features
Personal and team memory
MCP server with OAuth 2.1 or token authentication
Search by words and by meaning
Record provenance and version history
Conflict detection and resolution
JSON export and import
Project-based organization with hierarchical grouping
Urgent inbox for team notifications
Role-based access control for teams
Works with Claude, ChatGPT, ZCode, Grok and other MCP clients
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
One memory accessible from any AI assistant without re-explanation or chat copying
Separate personal and team memory layers with no automatic sharing
Records show full history and cannot be silently erased or replaced
Search by meaning finds relevant records even with different wording
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