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649,985 tools. Updated 2026-10-09 00:46

"Tik tok" matching MCP tools:

  • [RETRIEVAL / READ] Search MisakaNet's public failure-lesson index by error text, keyword, or topic. This is the primary read path — run it first when you hit an error, before deciding to submit anything. For a known lesson ID or path, prefer misakanet_get_lesson — it skips ranking and returns the full content. detail controls progressive disclosure: compact (default, ~80 tok/lesson) for broad scans, summary (~200 tok) adds domain/tags/fix, full returns complete lesson data. FAQ: results may also include answered questions (type="faq", issue_url + answer) — if a maintainer already answered the same question, the answer surfaces here. Returns: object {results: [compact: {id, title, problem, freshness, evidence_level, score} | summary: + {domain, tags, fix} | full: the record], source, detail, query}; `score` is the ranker's relevance for that result and is omitted on the unranked fallback path. On no match: {no_match: true, suggestion, intake}. Example: misakanet_search(query='pip install timeout', domain='python', top=3)
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  • Will a given local LLM run on given hardware? Returns fit, the best quant that fits, theoretical tok/s, and real owner-measured tok/s where available.
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  • List the most popular adult hashtag categories on tik-tok.porn by video count (max 20).
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  • Which GGUF quantization to download for a model on given hardware: the full quant ladder with file size, max context, and tok/s for each, plus the recommended pick.
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  • Fetch metadata for one tik-tok.porn video by hash. Returns page_url to link to (no direct media URL).
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    Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.
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    MIT
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    Enables sending documents (Markdown, PDF, EPUB) directly to a Kindle via Amazon Send-to-Kindle email, with Markdown converted to EPUB using pandoc.
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    MIT

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