Remote MCP platform that lets AI connect to your authorized Windows computers
MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
Stage
Not given
Not given
Founded
Not given
Not given
Based in
Not given
TR
Pricing model
Freemium
Not given
Pricing
Free tier with usage quota; paid plans available at https://ailinkany.com/pricing. Registration, AI connection, and computer binding are free; pricing is checked only when executing computer tasks.
Not given
Key features
Remote MCP endpoint for AI assistants
Shell command execution on authorized Windows PCs
File read/write and directory management
Multi-device unified management
AI session handoff for long agentic workflows
SSH, Telnet and serial port connections
OAuth-isolated AI sessions with Device Token separation
Command idempotency with command_id
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
Secure separation between AI OAuth identity and device credentials
Local files remain on your computer by default; only transmitted when explicitly requested
Supports multiple AI platforms through single Remote MCP endpoint
Free registration and computer binding without requiring a paid plan
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