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bilibili-mcp

by sandraschi
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Python
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    • bili

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    • bili

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      Enables AI clients to search and open Bilibili videos, control a logical playback clock (play/pause/seek), read and post comments, like, coin, favorite, and fetch or export subtitle tracks through compact plain-text tool output. Write operations require a Bilibili login, which can be established by QR scan in an accompanying web console.
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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

    A3.8/5.0

    Scored across 10 tools

    Disambiguation4/5

    Core tools cleanly separate account, explore, search, transcript, and video resources. Minor overlap exists between bilibili_explore(trending) and show_bilibili_trending_card, and bilibili_account(operation='status') could be confused with show_bilibili_status_card, but the descriptions make the distinction recoverable.

    Naming Consistency4/5

    All tools use a bilibili_ prefix or show_bilibili_*_card pattern, so the two naming families are internally consistent. The mix of noun-style names like bilibili_account and verb-style names like bilibili_search is a minor deviation but still predictable and readable.

    Tool Count5/5

    Ten tools is well-scoped for a Bilibili-oriented server covering discovery, search, video inspection, transcripts, account data, and system status. The card tools add some redundancy but each has a distinct presentation purpose.

    Completeness4/5

    The read/inspect/search/transcribe workflow is well covered: videos, comments, pages, transcript, search, trending, rankings, hot search, account following, and favorites. Minor gaps include no user profile detail, no comment thread replies, and no authenticated actions beyond reading.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources