MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
Source control for coding agents with conflicts settled before code exists
Stage
Not given
Startup
Founded
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Based in
TR
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Pricing model
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Pricing
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Free: $0 for up to 3 projects and one person (never charges). Builder: $15 a month or $150 a year. Team: $36 per person a month or $360 per person a year. New accounts start on Team for 14 days free with up to 5 projects.
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
Agents declare plans before writing code
Written rules automatically settle conflicting plans
Integration with Claude Code, Codex, and MCP clients
GitHub repository mirroring after each merge
Intent-based workflow instead of pull requests
Drift detection comparing code changes to declared plans
No branch names; work identified by intent number
Write rules per folder with CI files people-only
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
Conflicts settled before any code is written
Agents review intent goals and plans, not line-by-line diffs
Works with your existing agents without leaving GitHub
Only humans approve merges, never agents or models
PLCGateway AI MCP
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