{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm_npm-xzxzzxbilibili-mcp","slug":"npm-xzxzzxbilibili-mcp","name":"@xzxzzx/bilibili-mcp","type":"mcp","url":"https://www.npmjs.com/package/@xzxzzx/bilibili-mcp","page_url":"https://unfragile.ai/npm-xzxzzxbilibili-mcp","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","bilibili","video","comments","subtitle","chinese","b站","视频总结","评论总结"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm_npm-xzxzzxbilibili-mcp__cap_0","uri":"capability://tool.use.integration.bilibili.video.metadata.extraction.and.summarization","name":"bilibili video metadata extraction and summarization","description":"Extracts video metadata (title, description, duration, upload date, creator info) from Bilibili video URLs and generates AI-powered summaries of video content. Uses Bilibili's public API endpoints to fetch video information and integrates with LLM providers (via MCP protocol) to produce concise summaries without requiring video download or transcoding.","intents":["I want to quickly understand what a Bilibili video is about without watching it","I need to extract structured metadata from multiple Bilibili videos for analysis","I want to generate summaries of Bilibili videos to share with non-Chinese speakers"],"best_for":["Content researchers analyzing Chinese video platforms","LLM application developers building Bilibili integration workflows","Teams building multilingual content discovery systems"],"limitations":["Requires public video URLs — cannot access private or age-restricted content","Summarization quality depends on upstream LLM provider capabilities","No support for live stream metadata extraction","Rate-limited by Bilibili API — high-volume extraction may require backoff logic"],"requires":["Node.js 16+","MCP client compatible with stdio transport","Valid Bilibili video URL (public videos only)","LLM provider with text-generation capability (Claude, GPT, etc.)"],"input_types":["text (Bilibili video URL)","structured parameters (summary length, language preference)"],"output_types":["structured JSON (video metadata)","text (generated summary)"],"categories":["tool-use-integration","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-xzxzzxbilibili-mcp__cap_1","uri":"capability://data.processing.analysis.bilibili.video.subtitle.caption.extraction.and.processing","name":"bilibili video subtitle/caption extraction and processing","description":"Retrieves subtitle tracks (if available) from Bilibili videos and processes them for analysis or summarization. Handles Bilibili's subtitle API format, supports multiple subtitle languages when available, and can feed subtitle text to downstream LLM processing for content understanding without requiring video transcoding or speech-to-text.","intents":["I want to extract the full transcript from a Bilibili video for analysis","I need to find subtitles in a specific language for a Bilibili video","I want to process video dialogue/captions through an LLM for content extraction"],"best_for":["Accessibility researchers working with Chinese video content","LLM-based content analysis pipelines requiring transcript input","Multilingual content teams needing subtitle extraction at scale"],"limitations":["Only works with videos that have subtitles uploaded by creator or platform","Subtitle availability varies by video and region","No automatic speech-to-text fallback if subtitles unavailable","Subtitle timing/sync information may not be preserved in extraction"],"requires":["Node.js 16+","MCP client","Bilibili video URL with available subtitles"],"input_types":["text (Bilibili video URL)","optional parameters (language code, format preference)"],"output_types":["text (subtitle content)","structured data (subtitle tracks with metadata)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-xzxzzxbilibili-mcp__cap_2","uri":"capability://data.processing.analysis.bilibili.video.comment.aggregation.and.summarization","name":"bilibili video comment aggregation and summarization","description":"Fetches top-level and nested comments from Bilibili videos via the platform's comment API, aggregates them by relevance/engagement metrics, and generates AI-powered summaries of audience sentiment and key discussion points. Uses pagination to handle large comment sections and filters comments by score/timestamp to surface most relevant feedback.","intents":["I want to understand what viewers are saying about a Bilibili video without reading hundreds of comments","I need to extract sentiment and key themes from video comments for content analysis","I want to identify trending discussion points in a video's comment section"],"best_for":["Content creators analyzing audience feedback on Bilibili","Researchers studying Chinese social media discourse","LLM-powered analytics pipelines for video engagement metrics"],"limitations":["Comment API may have rate limits or require authentication for full access","Nested reply chains may not be fully traversable (API depth limits)","Deleted or moderated comments are not retrievable","Comment summarization inherits LLM biases — may not represent minority viewpoints","Chinese language processing required for sentiment analysis"],"requires":["Node.js 16+","MCP client","Bilibili video URL","Optional: Bilibili session token for higher rate limits"],"input_types":["text (Bilibili video URL)","optional parameters (comment sort order, limit, depth)"],"output_types":["structured JSON (comment list with metadata)","text (comment summary and sentiment analysis)"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-xzxzzxbilibili-mcp__cap_3","uri":"capability://tool.use.integration.mcp.based.tool.composition.for.multi.step.video.analysis.workflows","name":"mcp-based tool composition for multi-step video analysis workflows","description":"Exposes video extraction, subtitle retrieval, and comment aggregation as discrete MCP tools that can be composed by LLM agents into multi-step workflows. Uses MCP's tool-calling protocol to allow an LLM to orchestrate calls across multiple Bilibili capabilities (e.g., fetch video metadata → extract subtitles → summarize comments → generate final report) without requiring explicit workflow orchestration code.","intents":["I want an LLM agent to automatically analyze a Bilibili video end-to-end (metadata + subtitles + comments)","I need to build a workflow that extracts video data, processes it, and generates a report","I want to compose Bilibili tools with other MCP tools in a larger agent system"],"best_for":["LLM agent developers building multi-step content analysis systems","Teams using Claude or other MCP-compatible LLMs","Builders creating composable tool ecosystems"],"limitations":["Requires MCP-compatible LLM client (Claude, or custom MCP client)","Tool composition logic depends on LLM's planning capabilities — may require prompt engineering","No built-in state persistence between tool calls — requires external state management for long workflows","Latency compounds with each tool call (network + LLM reasoning overhead)"],"requires":["Node.js 16+","MCP client implementation (e.g., Claude desktop, custom Node.js client)","LLM provider with tool-calling support"],"input_types":["natural language instructions (to LLM agent)","Bilibili video URLs"],"output_types":["structured analysis (combined metadata, transcripts, sentiment)","natural language report (generated by LLM)"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm_npm-xzxzzxbilibili-mcp__cap_4","uri":"capability://tool.use.integration.bilibili.api.authentication.and.session.management","name":"bilibili api authentication and session management","description":"Manages Bilibili API authentication, including optional session token handling for accessing restricted content or higher rate limits. Implements credential storage and refresh logic to maintain valid sessions across multiple tool calls without requiring manual re-authentication for each request.","intents":["I want to access Bilibili content that requires authentication","I need to increase API rate limits for high-volume video analysis","I want to securely store and manage Bilibili credentials in my MCP workflow"],"best_for":["Teams running high-volume Bilibili data extraction","Developers needing authenticated access to restricted Bilibili content","Production systems requiring credential lifecycle management"],"limitations":["Bilibili session tokens have expiration — requires periodic refresh","No built-in credential encryption — relies on environment variable or file-based storage security","Rate limits still apply even with authentication — may require backoff logic","Bilibili may block or rate-limit automated API access regardless of authentication"],"requires":["Node.js 16+","Bilibili account credentials (username/password or session token)","Environment variable or secure credential store for token storage"],"input_types":["credentials (Bilibili session token or login credentials)"],"output_types":["authenticated API session (internal state)"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["Node.js 16+","MCP client compatible with stdio transport","Valid Bilibili video URL (public videos only)","LLM provider with text-generation capability (Claude, GPT, etc.)","MCP client","Bilibili video URL with available subtitles","Bilibili video URL","Optional: Bilibili session token for higher rate limits","MCP client implementation (e.g., Claude desktop, custom Node.js client)","LLM provider with tool-calling support"],"failure_modes":["Requires public video URLs — cannot access private or age-restricted content","Summarization quality depends on upstream LLM provider capabilities","No support for live stream metadata extraction","Rate-limited by Bilibili API — high-volume extraction may require backoff logic","Only works with videos that have subtitles uploaded by creator or platform","Subtitle availability varies by video and region","No automatic speech-to-text fallback if subtitles unavailable","Subtitle timing/sync information may not be preserved in extraction","Comment API may have rate limits or require authentication for full access","Nested reply chains may not be fully traversable (API depth limits)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.5000000000000001,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:24.483Z","last_scraped_at":"2026-05-03T14:23:58.691Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=npm-xzxzzxbilibili-mcp","compare_url":"https://unfragile.ai/compare?artifact=npm-xzxzzxbilibili-mcp"}},"signature":"RkVHx7xi2G6P3JLjwfaNulr9ga/G586LeU6ifOkY9wNZ3mJtI7hSfGwJ2IJeUV6rSL9f+P/VGWU+UhMjj4lBDQ==","signedAt":"2026-06-21T06:59:04.488Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/npm-xzxzzxbilibili-mcp","artifact":"https://unfragile.ai/npm-xzxzzxbilibili-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=npm-xzxzzxbilibili-mcp","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}