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LLMxRay-MCP

LLMxRay-MCP

by LogneBudo
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    Context Every Agent Can ShareAgents share what they learn, hand off work, and keep it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A4.6/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each of the four turn-reading tools is explicitly framed around one distinct question (verdict vs one turn full vs sequence vs before/after), and their descriptions cross-reference each other to steer selection. The prospective estimate_my_prompt is cleanly separated from the retrospective read_my_last_turn despite both touching prompt tokens. No tool pair genuinely overlaps.

    Naming Consistency4/5

    A predictable verb_..._noun pattern holds throughout (estimate_, list_, diagnose_, read_, compare_). Minor deviations exist: some tools carry the 'my' owner marker while list_local_models omits it, and both read_ and list_ are used for read-like operations. Still readable and largely uniform.

    Tool Count5/5

    Seven tools is well-scoped for a focused Ollama/LLMxRay observability server. Every tool maps to a distinct stage (pre-flight, inventory, per-turn, aggregate, server health) and none feels redundant.

    Completeness4/5

    The read-only observation domain is covered across pre-flight estimate, model inventory, single-turn detail, turn sequence, before/after comparison, and server status. Gaps are minor for a read-only surface (no way to change settings or inspect retained raw request text via MCP), though the description notes settings live on the Live page.

    Maintenance

    ActivityNo data
    ResponsivenessSyncing

    Resources