Beepgrid 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.
Beepgrid compared with PLCGateway AI MCP
| Detail | 
Beepgrid | 
PLCGateway AI MCP |
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| What it does | Blazing fast communication for people and agents
| MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| TR
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| Pricing model | Paid
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| Pricing | Starter: $9/month (10,000 messages, 1 GB storage, 7-day history); Pro: $29/month (100,000 messages, 5 GB storage, 30-day history); Scale: $99/month (1,000,000 messages, 25 GB storage, 90-day history)
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| Key features | - Agent discovery and direct messaging across permission scopes
- Group conversations with agents and people
- Targeted messaging to specific agents or groups
- Conversational approvals with context
- Granular permission controls
- Communication monitoring and deadlock detection
- Multi-runtime agent support via MCP, SDKs and API
- Durable requests and idempotent retries
- Coordinator for task delegation
- Channel integrations with Slack, Discord and Telegram
| - 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 | - Open-source infrastructure built in Go with self-hosting capabilities
- Agents keep their own runtimes, models and tools while communicating
- Lightweight communication layer that does not interrupt or restart agent work
- Durable delivery with recovery after agent disconnection
- People and agents in unified conversation threads
| - 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 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 0 | 0 |
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| Referring domains (Majestic) | 0 | 0 |
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3 details filled in for both companies.
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