Python code analysis for AI agents: complexity, dead code, clones, coupling, and a health score.
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io.github.ludo-technologies/pyscn is an MCP server that python code analysis for AI agents: complexity, dead code, clones, coupling, and a health score. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 90/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"pyscn-mcp": {
"env": {
"PYSCN_CONFIG": "/path/to/.pyscn.toml"
},
"args": [
"pyscn-mcp"
],
"command": "uvx"
}
}
}Are you the author?
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Python code analysis for AI agents: complexity, dead code, clones, coupling, and a health score.
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Code quality analysis for Python in the age of AI coding.
Building with Cursor, Claude, or ChatGPT? pyscn keeps AI-generated code maintainable with structural analysis.
# Run analysis without installation
uvx pyscn@latest analyze .
# or
pipx run pyscn analyze .
One command scores your whole codebase (0-100 with an A-F grade) and generates an HTML report that shows what to fix first.
pyscn looks at your code from five angles:
100,000+ lines/sec • Built with Go + tree-sitter
pyscn is the Python analyzer of polyscan. For JavaScript, TypeScript, Go, Rust and C++, run:
npx polyscan analyze .
Same five angles, same 0-100 score, one HTML report.
Polyscan App files a weekly audit report as a GitHub Issue. Free for public repositories.
pyscn ships Agent Skills that teach AI coding agents when and how to run each analysis: health checks, refactoring, architecture review, and CI-friendly reports.
uvx add-skills ludo-technologies/pyscn
This installs the Skills into your project. They work with Claude Code, Cursor, Codex, Gemini CLI, and many other agents (add --agent cursor etc. to target one, --global for all projects).
Then just ask your agent:
"Analyze the code quality of the app/ directory"
"Find duplicate code and help me refactor it"