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SealKeeper vs PLCGateway AI MCP

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

SealKeeper compared with PLCGateway AI MCP
DetailSealKeeper logo SealKeeperPLCGateway AI MCP logo PLCGateway AI MCP
What it doesCheck an agent or service before you rely on it MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
StageMVP Not given
FoundedNot given Not given
Based inZA TR
Pricing modelFree Not given
PricingNot given Not given
Key features
  • Agent SEAL with bronze, silver and gold levels
  • Service SEAL for tracking service behavior and terms
  • Open-source CLI for agent integration
  • Public ledger of checked agents and services
  • Cryptographic signatures for offline verification
  • Trust Score tracking from 0 to 200
  • Domain verification by DNS for silver SEALs
  • Verified task checking without calling tools or paying
  • 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
  • Cryptographic identity and offline-verifiable SEALs for agents
  • No fees or sign-up required to get listed and checked
  • Checks services without paying or calling tools
  • Public ledger and leaderboards for transparency
  • Open source CLI for developer integration
  • 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
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)20
Citation Flow (Majestic)160
Referring domains (Majestic)200

4 details filled in for both companies.

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