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Codebase intelligence for AI-assisted engineering teams: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
mcp
01
At a glance.
A compact read before the deeper capability notes and official setup links.
02
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
Codebase intelligence for AI-assisted engineering teams: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
Topics: ai, code-complexity, code-health, code-intelligence, code-quality
GitHub stars: 2201
Last pushed: 2026-06-05
04
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
05
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
06
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-06-05T19:48:43Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.
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