MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
One gateway for every tool your AI agent needs
Stage
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Founded
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Based in
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IN
Pricing model
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Hobby (Free): 20K actions/month. Plus ($9/month): 100K actions/month. Pro ($24/month): 300K actions/month. Enterprise: Custom pricing on request. All plans include unlimited MCP servers, OAuth management, and encrypted credential storage.
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
Encrypted credential storage and runtime injection
Managed OAuth flows and token refresh
Tool-level access control
Multi-tenant end-user authentication
Hosted, auto-scaling MCP servers
Per-request logging and activity monitoring
360+ MCP servers in catalog
Context window optimization
Dashboard and API for toolset management
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