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PLCGateway AI MCP vs Restless

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 Restless
DetailPLCGateway AI MCP logo PLCGateway AI MCPRestless logo Restless
What it doesMCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data An open-source office where people and AI agents share the work
StageNot given Not given
FoundedNot given Not given
Based inTR AU
Pricing modelNot given Freemium
PricingNot given Restless Core is free and open source. Hosted Restless: Founder plan $49/month for two companies, Scale plan $149/month for five companies. AI use is included in hosted plans; additional usage available as top-ups at cost.
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
  • Shared rooms for people and agents to communicate
  • Collaborative documents with feedback and version tracking
  • Task board with status tracking and gates
  • Persistent Linux computer for continuous work
  • AI agents that run builds, exports, and research
  • Prepared decisions requiring only human judgment
  • Work continues after people leave the office
  • Model switching and session management
  • Account permissions and role tagging for team members
  • Spending caps for AI usage control
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
  • AI agents handle routine work, so people focus only on decisions requiring judgment
  • Built as a company workspace, not just a chat window
  • Open source core available free to self-host
  • Scales from single maker with one AI lead to larger organizations
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 check2 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)01
Referring domains (Majestic)02

4 details filled in for both companies.

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