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PLCGateway AI MCP vs Levain Labs

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 Levain Labs
DetailPLCGateway AI MCP logo PLCGateway AI MCPLevain Labs logo Levain Labs
What it doesMCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data The AI backend that gets better with every run
StageNot given Startup
FoundedNot given Not given
Based inTR Not given
Pricing modelNot given Not given
PricingNot given Free: 500 credits/month, one workspace. Team: $49/month, 3,000 to 80,000 credits/month (fee scales with credits chosen). Enterprise: Custom pricing with volume-discounted usage, customer workspaces via API, pooled credits with spend limits per customer.
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
  • Agent delivery via app, Slack, Claude, ChatGPT or events
  • Automatic agent versioning from underperforming runs
  • Stack review and consulting services
  • Organization API with webhooks and delivery history
  • SSO and SAML on Enterprise plan
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
  • Outcome-driven improvement: runs are scored against your goals and underperforming versions automatically improve
  • Hands-on engineering: optional stack reviews and agent builds for customers who want expert implementation
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 checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)00
Referring domains (Majestic)00

3 details filled in for both companies.

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