Isonapse 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.
Isonapse compared with PLCGateway AI MCP
| Detail | 
Isonapse | 
PLCGateway AI MCP |
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| What it does | The governance layer for AI agents
| MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
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| Stage | MVP
| Not given
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| Founded | 2026
| Not given
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| Based in | CH
| TR
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| Pricing model | Not given
| Not given
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| Pricing | Agent Hook for Claude Code (public beta, available now), Community Edition (public beta, early September 2026, free), Enterprise Edition (Q4 2026)
| Not given
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| Key features | - Policy-based rule definition for agent actions
- Checkpoint enforcement before every action
- Tamper-evident signed audit ledger
- Vendor-neutral across models and harnesses
- Deterministic decision-making without LLMs
- Offline enforcement without network connectivity
- Budget caps and cost control
- Data tokenization and secret placeholder support
- One-click installation for Claude Code
| - 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 | - Neutral layer enforcing policies across any agent, model, or harness
- Self-hosted on your hardware with no telemetry or cloud dependency
- Cryptographically verified audit trail you can check offline
| - 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
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 5 ▲ +5 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 9 | 0 |
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| Citation Flow (Majestic) | 24 | 0 |
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| Referring domains (Majestic) | 64 | 0 |
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4 details filled in for both companies.
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