74
/ 100
27 days ago
glama

AccessibilityAI

Autonomous WCAG 2.1 accessibility auditor that scans, fixes, re-verifies, and generates VPAT 2.5 EN 301 549 reports using AI vision analysis + DOM scanning.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configBASE_PATH
configDATABASE_URLexport ="postgresql://user:pass@localhost:5432/accessibilityai"
configLOG_LEVEL
configPORT
configREPL_ID
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 8 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/groundlogic-ai-source-accessibility-ai-xtfqja)](https://m8ven.ai/mcp/groundlogic-ai-source-accessibility-ai-xtfqja)
commit: 82cd5a523b9a28936dc7ff954ef092aeb5c5ab58
code hash: b0e8d29de235f88d05a8cd827fa00e4b4f7df939b22b90fc4946c16d117607e5
verified: 6/24/2026, 9:45:40 AM
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