PLCGateway AI MCP vs Morgul Engine
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 Morgul Engine
| Detail | 
PLCGateway AI MCP | 
Morgul Engine |
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| What it does | MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
| Self-hosted multi-agent simulation framework for building autonomous agent civilizations
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| Stage | Not given
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| Founded | Not given
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| Based in | TR
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| Pricing model | Not given
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| Pricing | Not given
| Developer License: $49 USD (one-time) includes Python/FastAPI engine source code, Vite/React observer dashboard, zero-cost mock mode, and single-user research grant. Commercial License: $149 USD (one-time) includes everything in Developer License plus perpetual royalty-free commercial distribution,
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| 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
| - Decoupled tick loop with independent tick rate scheduling
- SQLite WAL-mode persistence with concurrent reads and zero lock overhead
- Multi-generational genealogy and asset transaction logs
- Zero-token mock mode for local simulation without API costs
- Python/FastAPI backend with Vite/React observer dashboard
- Circadian cycles and natural mortality mechanics
- Seamless LLM integration with OpenAI, Anthropic, or Ollama
- Docker Compose deployment stack for Commercial License
- Instant source code delivery with digital license key
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| 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
| - Turnkey engineering for complex simulations without building the loop from scratch
- Zero recurring platform subscriptions with direct software licensing
- No lock overhead persistence with WAL-mode SQLite for concurrent reads
- Local LLM execution without incurring API costs in mock mode
- Royalty-free commercial distribution rights with Commercial License
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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 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 0 | 0 |
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| Referring domains (Majestic) | 0 | 0 |
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3 details filled in for both companies.
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