Lanes 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.
Lanes compared with PLCGateway AI MCP
| Detail | 
Lanes | 
PLCGateway AI MCP |
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| What it does | Run your agentic fleet at scale
| 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
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| Pricing model | Freemium
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| Pricing | Free: $0 per month for 1 user. Pro: $19/month for up to 10 members. Enterprise: custom pricing.
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| Key features | - Run multiple coding agents in parallel on separate git worktrees and branches
- Task board with live terminals for each agent session
- Access Profiles to control permissions for each agent
- Integration with 100+ providers
- Audit logs of all agent actions and refusals
- Self-hostable access layer
- On-demand GPU compute by the second
- Local-first execution keeping source code and output on user's machine
- Support for Claude Code, Codex, and other agentic clients
| - 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 access layer under Apache-2.0 so you can read the security model
- Enforce access permissions at the system level, not through prompts
- Centralized access control across all agents and platforms simultaneously
- Keep data portable with plain files on your own disk, no vendor lock-in
- Complete audit visibility of what every agent accessed and was denied
| - 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) | 7 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 6 | 0 |
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| Citation Flow (Majestic) | 39 | 0 |
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| Referring domains (Majestic) | 192 | 0 |
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3 details filled in for both companies.
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