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polylens-bilibili

polylens-bilibili

by liu-xindi
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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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 16 tools

    Disambiguation5/5

    Each tool targets a distinct resource or action: search/discovery (suggest_keywords, search_videos, get_feed, list_up_videos), video facets (info, parts, subtitles, danmaku counts), comments (top-level vs replies), user profile, and a clean login lifecycle. The descriptions clarify boundaries (e.g. suggest_keywords is autocomplete, search_videos does actual search), so an agent should select correctly.

    Naming Consistency5/5

    All names are snake_case and verb-first (get_, list_, search_, suggest_, start_, complete_), with only the natural exception of logout. The pattern is predictable and readable throughout.

    Tool Count4/5

    16 tools is slightly above the ideal 3-15 band but justified by the broad domain (search, video metadata, comments, replies, subtitles, parts, danmaku, user, feed, login). No obvious filler tools; each has a role.

    Completeness3/5

    Core read paths (search, video info, comments/replies, subtitles, parts, danmaku counts, user, feed, login) are covered, but notable gaps exist: no danmaku content retrieval despite counts, no write actions (post comment), no account-specific reads (favorites/history/following), and no video stream URL. These will cause dead ends for agents expecting a full Bilibili client.

    Maintenance

    ActivityNo data
    ResponsivenessSyncing

    Resources