Structural code quality analysis for Python with baseline-aware CI governance, canonical reports, and a triage-first MCP control surface for agents and IDEs.
Run structural analysis on a Python project, detecting clones, complexity, coupling, cohesion, dependency cycles, dead code, health score, and more. Supports baseline-aware CI gating, coverage join, and multiple output formats.
codeclone_baseline
Generate or update a baseline file for regression detection. The baseline becomes the reference point for CI gating on new findings.
codeclone_ci
Run analysis in CI mode with fail-on-new, no-color, and quiet settings. When a baseline is loaded, also enables fail-on-new-metrics.
codeclone_report
Generate reports in HTML, JSON, Markdown, SARIF, or text format from a canonical analysis run.
codeclone_coverage
Join external Cobertura XML coverage data into the analysis to surface coverage hotspots and scope gaps.
codeclone_diff
Run analysis scoped to changed files based on git diff against a reference branch or commit.