Sectr 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.
Sectr compared with PLCGateway AI MCP
| Detail | S
Sectr | 
PLCGateway AI MCP |
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| What it does | Deploy your AI agent in one click
| 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 | Not given
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| Pricing model | Free
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| Pricing | Free during beta
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| Key features | - One-click cloud deployment
- Support for multiple frameworks (OpenAI Agents SDK, Pydantic AI, LangGraph, CopilotKit)
- Built-in AG-UI endpoint for frontend integration
- Live session replay and debugging
- Streaming text, tool calls and approvals
- Durable sessions and message persistence
- Serverless human-in-the-loop approvals
- Local development environment matching production
- Scale to zero during waits
- Encrypted secrets management
| - 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 | - Works with any agent framework without framework-specific dependencies
- Handles infrastructure complexity like journaling, approvals, and state persistence automatically
- Stateless hosting with all conversation state managed on Sectr
- Native CopilotKit integration with no additional SDK or event parsing needed
- Approvals persist through browser refresh without losing agent progress
| - 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 |
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| DR (Domain Rating by Ahrefs) | 2 ▲ +1 (up) 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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