| What it does | CSV and Google Sheets MCP server and REST API for AI agents
| MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
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| Based in | NL
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| Pricing model | Not given
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| Pricing | Free: €0, 3 datasets, 100,000 rows per dataset, 1,000 queries per day, 2 people. Pro: €12/month or $12/month, 25 datasets, 2,000,000 rows per dataset, 50,000 queries per day, 5 people per workspace. Business: Custom pricing.
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| Key features | - Automatic dataset linking by shared IDs and codes
- Supports MCP protocol for Claude, ChatGPT, and Cursor
- REST API for apps and automations
- Automatic version tracking on data changes
- Team collaboration with role-based access
- Messy file import with validation reports
- EU data hosting with no AI provider access
- Activity logs showing data changes and queries
| - 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 | - Query results use 475 times fewer tokens than pasting entire sheets
- Exact totals computed by database instead of estimated by AI
- Read-only by design prevents agents from modifying data
- Hosted in EU with automatic backups and 14-day retention
- One MCP URL works across multiple AI agent platforms
| - 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) | 3 ● 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) | 23 | 0 |
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| Referring domains (Majestic) | 12 | 0 |
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datatomcp
PLCGateway AI MCP