Security + bug + perf + refactor audit for Python. Returns 0-10 score + MD report.
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Scored across 2 tools
The two tools have clearly distinct purposes: python_code_review provides a full structured report, while python_quality_score returns only a score and rating. There is no overlap or ambiguity.
Both tool names use a consistent snake_case style with the `python_` prefix, and follow a verb_noun or [action]_[result] pattern (code_review, quality_score). The naming is predictable and uniform.
With only two tools, the server feels slightly thin for a code review domain. While the tools cover core needs, a typical server of this scope would benefit from 3-5 tools (e.g., separate linting or style checks). The count is borderline but not overly minimal.
The server covers a full review and a quick score, but lacks specialized tools for specific checks (e.g., security-only, formatting) or batch processing. The depth parameter in the review tool partially compensates, but the overall surface is limited to two operations, leaving some gaps in flexibility.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
python_code_reviewpython_quality_scoreScores your code across 12 areas, with findings, fix prompts, and re-assessment in your AI agent
Audit and repair any public GitHub repo. Free survey; paid source, unified diffs and a pull request.
Checks AI-written code for leaked keys and made-up packages, on your machine. Never uploads code.
Security scanner for AI-written code: SAST, secrets, dependencies, IaC, containers and DAST.
Add one secure layer between your agents and this server.