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PLCGateway AI MCP vs HazelJS

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

PLCGateway AI MCP compared with HazelJS
DetailPLCGateway AI MCP logo PLCGateway AI MCPHazelJS logo HazelJS
What it doesMCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data Open-source Agent OS for TypeScript that helps teams operate AI agents like production systems
StageNot given Not given
FoundedNot given Not given
Based inTR Not given
Pricing modelNot given Open source
PricingNot given Not given
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
  • Durable execution with crash-safe HITL
  • Agent DNA for versioning agents as packages
  • Gatekeeper default-deny authorization
  • Skillgate capability curation
  • Local-first deployment without Kubernetes requirement
  • Agent VM with effect typing and speculation
  • Decision Runtime for bounded closed-set judgment
  • Organism for multi-agent coordination
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
  • Agents live in the same TypeScript DI app as your APIs, not as separate services
  • Production-ready without cloud or Kubernetes dependency
  • Complete operating system, not glue between frameworks
  • Agents pause, resume, and survive restarts in production
  • Developer-first with decorators and DI patterns developers already know
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last check7 no change since last check
Trust Flow (Majestic)03
Citation Flow (Majestic)023
Referring domains (Majestic)018

3 details filled in for both companies.

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