// Analyze Python code quality using MCP tools - complexity, clones, dead code, coupling. Use when user asks about code quality, refactoring, maintainability, duplicates, or technical debt.
| name | pyscn-mcp |
| description | Analyze Python code quality using MCP tools - complexity, clones, dead code, coupling. Use when user asks about code quality, refactoring, maintainability, duplicates, or technical debt. |
Use the pyscn MCP tools for Python code quality analysis.
| Tool | Purpose |
|---|---|
get_health_score | Overall code health score (0-100) with grade |
analyze_code | Comprehensive analysis (complexity, dead code, clones, coupling, deps) |
check_complexity | Cyclomatic complexity of functions |
detect_clones | Duplicate code detection |
find_dead_code | Unreachable code detection |
check_coupling | Class coupling (CBO) metrics |
| User Request | Tool |
|---|---|
| "How healthy is this code?" | get_health_score |
| "Analyze code quality" | analyze_code |
| "Find complex functions" | check_complexity |
| "Find duplicate code" | detect_clones |
| "Find dead code" | find_dead_code |
| "Check class coupling" | check_coupling |
path (required): Path to Python file or directoryrecursive (analyze_code): Recursively analyze directories (default: true)analyses (analyze_code): Array of analyses to run - complexity, dead_code, clone, cbo, depsUse get_health_score for a quick overview:
Use analyze_code with specific analyses:
analyses: ["complexity"] - Only complexityanalyses: ["clone"] - Only duplicatesanalyses: ["dead_code"] - Only dead codeanalyses: ["complexity", "dead_code"] - MultipleUse check_complexity with:
min_complexity: Minimum to report (default: 1)max_complexity: Maximum allowed (default: 0 = no limit)Use detect_clones with:
similarity_threshold: 0.0-1.0 (default: 0.8)min_lines: Minimum lines to consider (default: 5)Always explain results and suggest improvements based on findings.