MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
Stage
Not given
Not given
Founded
2026
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Based in
US
TR
Pricing model
Paid
Not given
Pricing
$0.002 per grab, flat rate. Annual plan: $50/year for 25,000 grabs. Prepaid top-ups available: $50 for 25,000 grabs, $100 for 50,000 grabs, $250 for 125,000 grabs. Credits do not expire while account remains active.
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Key features
Full-page or fixed-viewport capture
PNG, JPEG, or WebP output formats
Cookie-consent dismissal
Wait for selector or delay
Async with signed webhooks
SSRF-guarded and idempotent
One-line CLI install
Hosted MCP server
Hosted CDN delivery
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
What makes it different
Agent-first design with CLI and MCP integration
Test keys return free placeholders for development
Built by Twilio infrastructure leaders
Handles cookie banners and lazy-loaded content automatically
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