The AI operational layer for the agentic enterprise
MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
Stage
Established
Not given
Founded
2010
Not given
Based in
US
TR
Pricing model
Paid
Not given
Pricing
SnapLogic offers Essential, Professional and Enterprise One packages with unlimited pipelines, data movement, and integrations at a predictable price. Premium Snap Packs and add-ons like AgentCreator, API Management, and AI Gateway are available a-la-carte. The company achieved 181% ROI with a payba
Not given
Key features
Unlimited data movement and integrations
Visual no-code integration builder
Multi-LLM support including OpenAI, Azure OpenAI, Gemini and Bedrock
Context-aware access policies and dynamic data protections
SLIM Intelligent Modernizer for legacy system migration
SnapGPT AI-powered integration copilot
Enterprise MCP for agent tooling and orchestration
API management with security controls and governance
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
Only platform combining agentic integration with applied AI for enterprise governance
Truly unlimited data movement with no hidden pricing
Hybrid deployment flexibility: cloud, on-premises, or hybrid with no lock-in
Enterprise-grade governance and observability built in from day one
Visionary in Gartner Magic Quadrant for iPaaS and Data Integration
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
SnapLogic
PLCGateway AI MCP