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
| Detail |
VegaDūta |
PLCGateway AI MCP |
| What it does | Open-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
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| Stage | Startup
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| Founded | 2025
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| Based in | IN
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| Pricing model | Open source
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| Pricing | Free to run, fork and build on commercially under Business Source License 1.1; paid hosted plans from $0 to $79 USD
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| 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
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| 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
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 7 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 0 | 0 |
| Citation Flow (Majestic) | 11 | 0 |
| Referring domains (Majestic) | 2 | 0 |
4 details filled in for both companies.
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