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react-render-profile-mcp

by vola-trebla
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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 13 tools

    Disambiguation4/5

    Most tools target distinct analysis areas (spurious renders, RSC, hydration, external stores, Chrome traces). However, close pairs like trace_render_cascade and trace_state_cascade_footprint, or find_spurious_renders and suggest_memoization, could cause selection confusion despite clear descriptions.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (get_, find_, trace_, analyze_, diagnose_, evaluate_, remediate_, audit_, correlate_), with clear actions and targets. No mixing of conventions or vague verbs.

    Tool Count5/5

    13 tools is well-scoped for a React performance profiling server, covering analysis, diagnostics, suggestions, and remediation without bloat. Each tool addresses a specific aspect of the profiling workflow.

    Completeness5/5

    The tool surface covers the full profiling lifecycle: high-level summary, detailed hotspot analysis, spurious render detection, cascade tracing, hydration/RSC/external store diagnostics, compiler rule auditing, memoization suggestions, and automatic component remediation. No critical gaps for the domain.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive

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