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LiLBrain

by MangoByteLabs
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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

    B3.2/5.0

    Scored across 24 tools

    Disambiguation2/5

    Several tools cover overlapping call-graph and impact territory: callers, dataflow, trace, impact, diff, and pr_review all involve upstream/downstream callers and blast radius. Overview, architecture, and subsystem also blur boundaries, while search, semantic, and ask offer vaguely differentiated discovery paths.

    Naming Consistency4/5

    All tools share the lilbrain_ prefix and use snake_case, which gives a consistent visual pattern. However, naming mixes noun-style resources (function, callers, hotspots) with verb-style actions (read, search, ask), so the convention is not perfectly uniform.

    Tool Count3/5

    24 tools is at the heavy end of the borderline range. The domain is broad enough to justify many specialized analyses, but the overlapping call-graph and discovery tools suggest the set could be consolidated without losing capability.

    Completeness5/5

    The toolset is remarkably complete for read-only code intelligence: it covers navigation, call graphs, dataflow, impact analysis, architecture, code quality, dead code, clone detection, semantic search, diffs, PR review, and runtime correlation. There are no obvious dead ends for typical codebase understanding workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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