@4da/MCP Server

Dependency intelligence for AI agents. CVE scanning, health checks, upgrade planning.

The short version

It scans your codebase — Cargo.toml, package.json, go.mod, Git history — and scores every article, advisory, and release from 20+ sources against what you actually build. An item needs 2+ independent signals to survive. Everything else is rejected.

• 5-axis scoring with multi-signal confirmation gate (92% rejection, 98% noise accuracy across 9 test personas)
• Domain profile: graduated tech identity (primary stack → dependencies → detected → interests)
• Content DNA: classifies content type (security advisory, release, tutorial, hiring, etc.)
• Novelty detection: demotes introductory content, boosts new releases and security advisories
• Role-aware scoring: security engineers see security content prominently; experience level adjusts tutorial/depth balance
• Intent scoring: recent Git/file activity influences what surfaces

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Maintainer setup documentation.