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VegaDūta vs PLCGateway AI MCP

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

VegaDūta compared with PLCGateway AI MCP
DetailVegaDūta logo VegaDūtaPLCGateway AI MCP logo PLCGateway AI MCP
What it doesOpen-source, self-hostable platform for building and governing AI agents across multiple channels MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
StageStartup Not given
Founded2025 Not given
Based inIN TR
Pricing modelOpen source Not given
PricingFree to run, fork and build on commercially under Business Source License 1.1; paid hosted plans from $0 to $79 USD Not given
Key features
  • Human approval workflows
  • Multi-channel support (WhatsApp, email, voice, web)
  • Retrieval and graph memory
  • Guardrails and governance with budgets
  • Browser automation
  • Role-based access control
  • OpenAPI and Swagger tool import
  • Agent skill learning
  • Sealed audit log
  • 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
  • Runs on laptop, server, or Kubernetes—same images everywhere from release
  • Complete governance embedded in platform and SDKs with approval, budgets, audit
  • Open standards: MCP, A2A, AG-UI, OpenTelemetry, OIDC, OpenAPI
  • Business Source License allows commercial use and forking
  • Console in 22 Indian languages
  • 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
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)7 −1 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)110
Referring domains (Majestic)20

4 details filled in for both companies.

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