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
| Detail |
SealKeeper |
PLCGateway AI MCP |
| What it does | Check 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
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| Stage | MVP
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| Founded | Not given
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| Based in | ZA
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| Pricing model | Free
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| Pricing | Not given
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| 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
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| 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
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 2 | 0 |
| Citation Flow (Majestic) | 16 | 0 |
| Referring domains (Majestic) | 20 | 0 |
4 details filled in for both companies.
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