$ loading_
Analyze codebase size, complexity, and estimated effort with read-only metrics.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "scc-mcp" yet — see the docs or source repo.
Count the total lines in this repository and break down file count, code lines, comment lines, and blank lines by language.
A summary table of repository code metrics, grouped by programming language.
Identify the top 10 most complex files in this codebase and explain their likely maintenance risks.
A ranked list of high-complexity files with brief maintenance risk analysis.
Based on the current code volume and complexity, roughly estimate the person-day cost to refactor this module and list the main factors affecting it.
A rough refactoring effort estimate with the key metrics driving the estimate.
Analyze codebases with metrics, thresholds, and quality checks for faster reviews.
Gives AI coding agents a structural map of your repository fast.
Analyze codebases, generate project docs, and map knowledge for better AI context.
Helps AI map unfamiliar TypeScript SaaS repos, risks, and critical flows.
Analyze local code quality, review diffs, and score whole projects.
Read files paginated and search codebases with regex to find code fast.