MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
Stage
Startup
Not given
Founded
2026
Not given
Based in
US
TR
Pricing model
Paid
Not given
Pricing
Base: $50/mo for 50,000 points per month. Core: $100/mo for 100,000 points per month. Pro: $250/mo for 250,000 points per month. Ultima: $500/mo for 500,000 points per month. Enterprise: $1000/mo for 1,000,000 points per month. Custom option available for higher volumes. Search costs 5 points per ca
Not given
Key features
AI research for structured, cited answers across sources
AI extraction converts pages to clean JSON without selectors
250+ data sources including company registries and business intelligence
MCP server integration with Claude, OpenAI, and other clients
REST API for custom agent code
Web search capability for AI agents
Points-based pricing model with no per-source fees
AI research depth tiers from quick lookups to exhaustive investigations
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
Unified API and MCP access to 250+ data sources without stitching scrapers
Structured, cited answers synthesized from comprehensive source catalog
No HTML parsing or selector maintenance required for extraction
One request format for all company intelligence and registry sources
Points reset monthly with no per-source pricing complexity
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
NeuralVerge
PLCGateway AI MCP