| What it does | MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
| Memory for AI agents and the people using them
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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
| Freemium
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| Pricing | Not given
| Free: 10,000 events and 1,000 retrievals per month. Starter: $13/month for 50,000 events and 5,000 retrievals. Pro: $100/month for 500,000 events and 50,000 retrievals. Scale: $399/month for 2,500,000 events and 250,000 retrievals. Enterprise: Custom pricing.
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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
| - Search memory with dates and sources
- Memory history and item versions
- Data erasure with receipt
- Correct and edit facts
- Works with Claude, ChatGPT, Cursor and GitHub Copilot
- Integrates with LangGraph, CrewAI and OpenAI Agents SDK
- Connect to Slack, Notion, Linear, Jira and GitHub
- Hosted MCP server
- Item expiry
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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
| - Reduces token usage while improving context accuracy
- Privacy and data control built in, not bolted on
- Nothing is dropped when limits are reached
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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 | 10 ▲ +7 (up) since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 0 | 12 |
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| Referring domains (Majestic) | 0 | 3 |
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PLCGateway AI MCP
Alexein