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by angrysky56
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Python
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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 23 tools

    Disambiguation3/5

    The tools are grouped into wiki, knowledge graph, and memory domains, but several have blurry boundaries: wiki_sync_index vs wiki_update_index, synapse_recall vs synapse_timeline, and ingest_text vs wiki_ingest_raw could cause misselection. Descriptions help clarify most overlaps, but not all.

    Naming Consistency4/5

    Most tools follow verb_noun snake_case with clear wiki_ and synapse_ prefixes, but the core knowledge graph tools (ingest_text, query_knowledge, explore_connections) lack a shared prefix and debug_test breaks the pattern. The naming is mostly consistent but not fully systematic.

    Tool Count3/5

    23 tools is in the heavy range and requires a lot of surface area to navigate, though each tool has a plausible role in the wiki/knowledge-graph/memory system. It is borderline: not overwhelming, but more than is clearly necessary.

    Completeness4/5

    The set covers wiki read/write/indexing, knowledge graph ingestion and querying, and episodic memory lifecycle management including invalidation and causal analysis. Minor gaps exist (no wiki page deletion, no explicit knowledge graph entity update/delete), but core workflows are well covered.

    Maintenance

    ActivitySlowing
    ResponsivenessUnresponsive

    Resources