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python-mcp

by yriveiro
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.6/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool maps to a distinct well-known Python quality concern: linting, formatting, type checking, dead code, security, dependencies, test discovery, spelling, and docstrings. There is no meaningful overlap between tools despite several sharing a 'check' suffix.

    Naming Consistency5/5

    All tool names follow a consistent lowercase snake_case pattern of <tool>_<action>, with 'check' used for most tools and 'format'/'collect' used only where semantically appropriate. The convention is predictable and easy to infer.

    Tool Count5/5

    Nine tools is a well-scoped size for a Python code-quality server. Each tool covers a major independent concern without unnecessary redundancy or bloat.

    Completeness5/5

    The tool surface covers the core Python quality-checking lifecycle: linting, formatting validation, type checking, dead-code analysis, security scanning, dependency validation, test discovery, spelling, and docstring consistency. No critical gaps are apparent for the evident check-oriented purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

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