MCP Observatory
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222wcnm/BiliStalkerMCP

v3.5.0
github
github Python analyzed 952fd83

Bilibili MCP server (Model Context Protocol) for AI agents. Access user profiles, videos, dynamics, articles, subtitles, and followings.

maintainer
222wcnm
licence
MIT
first seen
2026-06-03
last seen
2026-10-10
releases · 30d
0
github stars
10 reported
short id

222wcnm/BiliStalkerMCP is an MCP server distributed on github, maintained by 222wcnm, tracked here since June 2026. It has shipped 21 releases (currently 3.5.0) and exposes 15 tools. Tools include full, get_article_content, get_content_comment_replies, get_content_comments, get_user_articles, get_user_dynamics, and 9 more. Its composite risk grade is B — an inferred review prompt computed from observed signals, not a verdict.

lifetime releases
21
releases · 30d
0
dependencies
2
dependents
0

what we found

Reading the source raised one review prompt — toxic flow (lethal trifecta) — each a pattern worth a human look rather than a finding of fault.

Its 15 tools appear to reach network and untrusted content, inferred from tool names, descriptions and input schemas rather than from observed behaviour.

Since the previous scan on 2026-10-10: 17 tools added and 12 tools removed.

full security breakdown →

tools

15
  • full download text for all subtitle tracks (higher cost).
  • get_article_content Full article markdown content
  • get_content_comment_replies Full sub-replies for a video, article, or dynamic comment
  • get_content_comments Comments for a video, article, or dynamic (including images and note metadata)
  • get_user_articles Lightweight article list
  • get_user_dynamics Structured dynamics with image metadata and cursor pagination
  • get_user_followings Subscription list analysis
  • get_user_info Rich profile: level, official title, VIP, live room, ban status, following/follower, total video views/article views/likes (needs bili_jct)
  • get_user_snapshot One-call overview: profile + recent videos/dynamics/articles fetched concurrently
  • get_user_videos Lightweight video list
  • get_video_detail Full video detail + optional subtitles
  • minimal skip subtitle metadata and subtitle text fetching.
  • search_user_videos Keyword search in one user's video list
  • search_users Lightweight user candidates with numeric UIDs
  • smart (default when fetch_subtitles=true): fetch metadata for all pages, download only one best-matched subtitle track text.

release cadence · 90d

6 releases
2026-07-14 2026-08-27 now

recent releases

last 10
version date src
v3.5.0 2026-09-06 github
3.5.0 2026-09-06 pypi
v3.4.0 2026-08-14 github
3.4.0 2026-08-14 pypi
v3.3.0 2026-07-13 github
3.3.0 2026-07-13 pypi
3.2.1 2026-06-23 pypi
3.2.0 2026-06-11 pypi
v3.1.0 2026-05-23 github
3.1.0 2026-05-23 pypi

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