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AiDimag

AI Dimag

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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

    A3.9/5.0

    Scored across 21 tools

    Disambiguation3/5

    Most tools have distinct actions and detailed use-case descriptions, but there are overlapping clusters: memory_check_change vs memory_pre_edit both serve as pre-edit guardrails, and memory_write/memory_propose/context_note/chat_harvest/knowledge_ingest_submit all create or propose memory through different paths. An agent can usually pick correctly with careful reading, but the boundaries are not always crisp.

    Naming Consistency4/5

    Tool names overwhelmingly use snake_case verb_noun or noun_verb patterns within clear families (memory_*, scratchpad_*, knowledge_*). Minor deviations like ticket_get (reversed order), memory_status, knowledge_pending, and proposals_pending break the otherwise predictable pattern but remain readable.

    Tool Count3/5

    21 tools sits in the borderline-heavy range for an MCP server. The breadth is somewhat justified by the memory lifecycle, scratchpad, review queue, and external capture sources, but the surface could be tightened by merging the two pre-edit checks and consolidating capture tools.

    Completeness4/5

    The tool set covers the core memory lifecycle well: search, write, propose, verify, refute, and pre-edit checking, plus scratchpad and review queue visibility. Minor gaps exist—there is no direct update/edit tool for an existing memory and no in-MCP approval path, but these are workable through refute/supersede and the companion dim review flow.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources