Analyzer FAQs

Question 1

How can I integrate Analyzer into my development workflow?

Accepted Answer

Analyzer offers flexible integration options, including one-click installs for VS Code, Docker containers, and universal installation via `uvx` or `pip`. It's perfect for AI assistants, IDEs, and automated code review workflows like GitHub Actions or GitLab CI.

Question 2

Does Analyzer provide code quality metrics?

Accepted Answer

Yes, Analyzer provides a combined quality score (0-100) based on analysis metrics from RUFF issues and VULTURE's dead code detection, giving you a clear assessment of your Python codebase's health.

Question 3

What security features does Analyzer offer?

Accepted Answer

Analyzer prioritizes supply chain security with signed releases via Sigstore, signed Docker containers using Cosign, trusted PyPI publishing, and automated vulnerability scanning in its CI/CD pipeline, ensuring a secure development experience.

Question 4

What is Analyzer?

Accepted Answer

Analyzer is a powerful Model Context Protocol (MCP) server designed for comprehensive Python code analysis. It integrates RUFF for linting and VULTURE for dead code detection, providing a full suite of code quality insights.

Question 5

What types of code issues does Analyzer identify?

Accepted Answer

Analyzer identifies a wide range of issues including style violations, potential bugs, and formatting inconsistencies through RUFF linting with auto-fixes. It also accurately detects unused imports, functions, and variables using VULTURE for dead code detection.

Analyzer

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