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bilibili-info-gathering

by DavidLearning1023
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    • bilinote-mcp

      caiqianzhang
      A
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      A
      quality
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      Enables AI coding agents to access Bilibili video data and turn videos into notes, including search, video info, subtitles, chapters, audio download, ASR transcription, comments, uploader collections, and favorites.
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    • bilibili-mcp

      sandraschi
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      Enables agents to search, explore trending content, retrieve video metadata and hot comments, and obtain subtitle transcripts for summarisation on Bilibili, with an anonymous tier and an optional account tier for personalized feeds.
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    • bilibili-skill

      Almost-Fu
      A
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      Exposes 37 MCP tools that let agents search and browse Bilibili videos, read comments and danmaku, and grab frames, subtitles, and trending content without logging in. Once authenticated via QR-code login, it also enables replying to comments, sending private messages and stickers, posting dynamics, managing favorites, and uploading videos.
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    • bili

      wjw-exe
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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

    A4.2/5.0

    Scored across 14 tools

    Disambiguation4/5

    Most tools target clearly distinct resources (comments, transcript, danmaku, frames, creator content, registry, injection scan). The main overlap is deep_read acting as an aggregator over the single-channel tools (get_transcript, get_comments, get_danmaku, grab_frames), and search_videos vs scan_topic both retrieving candidate videos. Descriptions clarify intended use, so confusion is limited but still possible.

    Naming Consistency5/5

    All tool names use consistent snake_case verb_noun patterns (get_comments, search_videos, scan_topic, registry_upsert, transcribe_audio, grab_frames, etc.). No mixed casing or radically different naming styles. The pattern is predictable throughout.

    Tool Count5/5

    14 tools is well within the ideal 3-15 range for this domain. Each tool covers a distinct data channel or registry operation, and the set does not feel bloated. The count supports the multi-channel investigation workflow without excessive surface area.

    Completeness4/5

    The surface covers the core Bilibili info-gathering lifecycle: search, metadata, transcript, comments, danmaku, frames, comment images, audio transcription, creator content, registry read/write/commit/discard, topic scanning, and injection detection. Minor gaps exist, such as no direct creator/user search or dedicated deletion of individual registry entries, but agents can work around these. Overall the tool set is comprehensive for its stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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