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Raven MCP

by rhinocap
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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

    B3.4/5.0

    Scored across 111 tools

    Disambiguation3/5

    The long, heavily detailed descriptions help separate most tools, but there is real overlap at the set level: `audit` is an explicitly recommended catch-all for the two dozen individual `audit_*` tools, and `audit_screen`/`audit_ios_screen` are effectively the same check. With 111 tools, an agent must rely on lengthy prose rather than clear boundaries to avoid mis-selection.

    Naming Consistency3/5

    The dominant convention is snake_case `verb_noun` (`get_`, `list_`, `create_`, `audit_`), so the set is readable overall. But it mixes in noun-first and domain-first forms such as `decision_*`, `gap_scan`, `talon_scan`, and `raven_reflect`, plus abbreviations like `audit_rn` and `audit_ios_a11y`, so the naming is not fully predictable.

    Tool Count1/5

    111 selectable tools is far beyond any reasonable single MCP surface and well past the 50+ threshold. Many related operations, especially the roughly two dozen `audit_*` variants, could be grouped into a single parameterized tool or split into separate sub-servers. The breadth may be intentional, but this namespace is a heavy burden for agent selection.

    Completeness4/5

    The domain coverage is unusually comprehensive: reference capture, design-system token management, knowledge lookup, taste calibration, creative generation, decision graphs, and a wide range of audits all have lifecycle support. The main gaps are minor operational lifecycle operations, such as no apparent delete/cancel for creative generation jobs or brand profiles, and no universal update/delete path for every stored artifact.

    Maintenance

    ActivityActive
    ResponsivenessSlow

    Resources