AI Scanner vs cobbles

Side by side on the facts. GitHub figures come straight from each repository; ratings come from signed-in reviewers here.

MetricAI ScannerMCP Server cobblesMCP Server

Type: AI ScannerMCP Server; cobblesMCP Server
Category: AI ScannerSecurity; cobblesSecurity
GitHub stars: AI Scanner0; cobbles0
Trust scoreⓘAuditability and maintenance signals — not a security audit.: AI ScannerNot yet assessed; cobblesNot yet assessed
Community rating: AI ScannerNo reviews yet; cobblesNo reviews yet
Last commit: AI ScannerUnknown; cobblesUnknown
Licence: AI ScannerNone declared; cobblesNone declared
Official: AI ScannerNo; cobblesNo
Source: AI Scanner Repository; cobbles Repository

Highlighted cells win that row on an objective measure. Rows without a clear winner — category, licence, source — are left unmarked. A higher trust score means better auditability and maintenance, not safer code.