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wangqiao258

pentest-kb

by wangqiao258
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Python
Remote

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    • Librarian

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    • knowledge-workbench

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      Enables AI agents and MCP clients to search, retrieve, and read documents across unified knowledge sources including ShowDoc, GitHub, Gitee, ZenTao, Evernote, and Tencent Docs. It also supports connecting external MCP servers as additional knowledge sources.
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    • knowledge-base

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    • local-kb

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    • AgentBase

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    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

    A3.7/5.0

    Scored across 13 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: the three list_* tools are scoped by status (all/pending/deleted), and search vs. list vs. find_similar are distinguishable. However, update_experience can also set status to approved/rejected, overlapping with the dedicated approve_experience and reject_experience tools, and the delete/reject/purge triad requires careful reading to tell apart.

    Naming Consistency5/5

    All 13 tools follow a consistent snake_case verb_noun pattern (list_*, get_*, add_*, update_*, delete_*, restore_*, approve_*, reject_*, search_experience, find_similar, purge_experiences). No convention mixing.

    Tool Count5/5

    13 tools is well-scoped for a knowledge base with CRUD, search, moderation workflow, dedup, and soft-delete lifecycle. Each tool earns its place with a distinct role.

    Completeness5/5

    Full lifecycle is covered: create/add, get, update, search, paginated listing, approval/rejection moderation, dedup checking, soft-delete, restore, and physical purge. No obvious dead ends for the stated domain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources