MyA11yReport MCP vs Nooks
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
MyA11yReport MCP compared with Nooks
| Detail | MM
MyA11yReport MCP | N
Nooks |
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| What it does | Accessibility auditing tools for AI agents
| Interactive worlds for people and AI to build, learn and solve problems together
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| Stage | MVP
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| Founded | Not given
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| Based in | CA
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| Pricing model | Free
| Free
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| Pricing | Not given
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| Key features | - Axe-core automated accessibility scans with violation counts and per-rule details
- Page structure review including landmarks, headings and nested lists
- Tab and focus order analysis with tabindex flag detection
- Image and alt text inventory
- WCAG 2.2 color contrast checking
- Browser control for navigating dynamic content
- Session-based auditing with action logging
- Integration with Claude, opencode and other MCP clients
- Local execution with no data transmission
| - Photo to brick set conversion with 3D preview and parts list
- Workbench for collaborative brick-by-brick editing
- MCP server integration with Claude Code, Codex, Cursor and more
- Build structure checking and validation
- OAuth sign-in with no token storage
- Offline build access with local browser storage
- Export digital manuals and wanted parts lists
- Interactive environments for AI training
- Consent-based human demonstration recording
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| What makes it different | - Runs locally on your machine without requiring an account or API key
- Works with any MCP client including Claude Desktop and opencode
- Provides comprehensive accessibility auditing through axe-core integration
- Includes explicit audit workflow guidance for consistent evaluation
- Drives a real Chromium browser for accurate testing of dynamic content
| - Checked outcomes - part connections and build validity are verified by software before delivery
- Real objects from photos - converts pictures into buildable brick sets with actual parts that exist
- People and AI work on the same design simultaneously within the workbench
- Measurable AI learning with transfer testing across different worlds
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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) | 1 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 3 | 0 |
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| Citation Flow (Majestic) | 26 | 13 |
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| Referring domains (Majestic) | 34 | 2 |
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4 details filled in for both companies.
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