PLCGateway AI MCP vs GitHits
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
PLCGateway AI MCP compared with GitHits
| Detail | 
PLCGateway AI MCP | 
GitHits |
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| What it does | MCP server for industrial software that lets AI assistants connect machines, build screens and analyze production data
| Infrastructure layer connecting agents to the open-source ecosystem
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| Stage | Not given
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| Founded | Not given
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| Based in | TR
| US
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| Pricing model | Not given
| Free
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| Pricing | Not given
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| Key features | - 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
| - Search code by keywords, API names, or quoted phrases across packages and repositories
- Read versioned source code at specific versions or git refs with symbol selectors
- Compare source changes between package versions or repository refs
- Check package health, adoption, license, downloads, and open advisories
- Inspect direct and transitive dependencies with resolved versions
- Check security vulnerabilities and affected versions for packages
- Generate code examples grounded in open-source projects with cited sources
- Ask research questions about packages with cited sources and read commands
- Browse documentation pages and search by keywords with exact page locations
- Review upgrade impacts including vulnerabilities, changelog, and dependency changes
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| What makes it different | - 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
| - Version-aware indexing ensures agents get code and documentation matching their exact dependency versions, not latest releases
- Integrated index of code, documentation, packages, and dependency graphs in one interface through MCP, CLI, and API
- Deterministic results with exact file locations, line ranges, and symbol definitions for reliable agent decisions
- Supports open-source repositories not published as packages plus major package registries like npm, PyPI, and crates.io
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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 | 52 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 7 |
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| Citation Flow (Majestic) | 0 | 34 |
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| Referring domains (Majestic) | 0 | 247 |
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4 details filled in for both companies.
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