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KernelMind MCP

KernelMind MCP

by Reinazhard
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Python
Remote

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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

    A4.1/5.0

    Scored across 16 tools

    Disambiguation5/5

    Every tool targets a distinct resource type and action. Search tools are differentiated by target (code, commits, patches, LKML, docs, LWN), and detail tools map one-to-one to those search targets. Even similar tools like search_kernel_code and lookup_symbol are clearly separated by broad search vs. exact symbol lookup.

    Naming Consistency5/5

    All tool names follow a consistent lowercase snake_case verb_noun pattern (search_*, get_*, lookup_symbol, blame_line_range, analyze_*). No mixed conventions or ambiguous verbs; the naming scheme is uniform and predictable.

    Tool Count4/5

    At 16 tools, the set is slightly above the typical 3-15 ideal range, but the breadth of the domain (code, commits, patches, LKML, docs, LWN, risk analysis) justifies each tool's existence. No redundant or trivial tools are present.

    Completeness5/5

    The tool surface provides full lifecycle coverage for kernel intelligence: search and retrieve operations for each data type (code, commits, patches, LKML, docs, LWN), plus specialized analysis (patch series, subsystem risk, file history, blame). No obvious gaps prevent an agent from answering kernel-related questions or performing deep investigations.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

    Resources