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262,495 tools. Last updated 2026-07-05 19:51

"A server for finding popular videos on TikTok" matching MCP tools:

  • Get transcripts for a YouTube channel's most recent videos (newest first) as timestamped markdown, one section per video. Use for research across a creator's recent output; for one known video use get_transcript. Read-only; requires an API key. Charges 1 credit per video that returns a transcript, including repeat calls; videos without captions are skipped free. A 10-video call typically costs up to 10 credits, so start with a small limit. Rate limit: 5 requests per 10 seconds.
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  • FOR CLAUDE DESKTOP ONLY (with filesystem access). For Claude.ai/web: Use create_upload_session instead - it provides a browser upload link. Upload local media to cloud storage, returning a public HTTPS URL. WHEN TO USE: • Instagram, LinkedIn, Threads, X: REQUIRED for local files before calling publish_content • TikTok: NOT NEEDED - pass local path directly to publish_content SUPPORTED FORMATS: • Images: jpg, png, gif, webp (max 10MB) • Videos: mp4, mov, webm (max 100MB) Returns { url: 'https://...' } for use in publish_content mediaUrl parameter.
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  • List the user's connected social media accounts (Instagram, TikTok, LinkedIn) so you can offer to publish content for them. Returns whether the Connectors add-on is active and the connected accounts. Read-only, no credits. Call this before offering to post, or when the user asks to publish.
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  • Get transcripts for the videos in a YouTube playlist (in playlist order) as timestamped markdown, one section per video. Use for working through a course, series, or curated list; for one known video use get_transcript. Read-only; requires an API key. Charges 1 credit per video that returns a transcript, including repeat calls; videos without captions are skipped free. A 10-video call typically costs up to 10 credits, so start with a small limit. Rate limit: 5 requests per 10 seconds.
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  • Get transcripts for the videos in a YouTube playlist (in playlist order) as timestamped markdown, one section per video. Use for working through a course, series, or curated list; for one known video use get_transcript. Read-only; requires an API key. Charges 1 credit per video that returns a transcript, including repeat calls; videos without captions are skipped free. A 10-video call typically costs up to 10 credits, so start with a small limit. Rate limit: 5 requests per 10 seconds.
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  • Decode a specific video ad URL into its full structural formula — beat-by-beat breakdown, hook classification, behavioral psychology stack, creative format, runtime performance signals (active days on Meta Ad Library when available), and per-cut visual data. Takes one video URL plus an optional idempotency_key. Returns a job_id immediately; poll with get_decode every 15s until status is "completed" (typically 45-60s end-to-end). Use this when the user pastes an ad URL, names a specific competitor ad, asks "decode this" or "break down this ad" or "what makes this ad work", or wants sentence-level fidelity to one specific winner before writing a script with generate_adscript. Supports Facebook Ad Library, TikTok, Instagram Reels, YouTube Shorts, and direct .mp4 URLs. Costs 15 credits for videos ≤60s, 20 credits for 61-120s. Do NOT use to browse the corpus or find ads by category — use decoder_intelligence or adformula_intelligence (both free) for discovery. Do NOT use for image ads or static creative.
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    MCP server for TikTok that enables searching videos, users, hashtags, and fetching trending content, user profiles, and video details via official API or public scraping.
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Matching MCP Connectors

  • TikTok hashtag volume over time, with growth for any hashtag. Free key at trendsmcp.ai

  • TikTok Ads automation with AI: analyze performance, manage campaigns, optimize creatives.

  • List the caller's own videos from connected accounts. Filter by platform and/or a free-text query, scope to one connected account_id (from list_accounts), and sort by 'recent' or 'top' (best-performing). Returns {"videos": [...]}; an empty list carries a reason — "no_connected_accounts" (with a connect_url) vs. "no_matching_videos" — so you can tell "nothing connected" from "nothing matched".
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  • Ask a question about one or more videos with visual analysis. Most effective on focused time ranges — use start/end to specify the segment to analyze. BEFORE calling this tool, read the reka://docs/guide resource for recommended workflows. In most cases, you should first: - search_videos to find WHEN something happens, then pass those timestamps here as start/end - segment_video to detect and locate specific objects - get_transcript to read what was said For single-video questions, pass video_id with start/end. For cross-video questions, pass videos — a list of video references with start/end each. For follow-up questions, pass conversation_id from the previous response. You can add start/end to drill into a specific moment while keeping the conversation context. Requires qa_only or full pipeline.
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  • "All-time popular movies / shows" / "most-watched [type] ever" / "classic [movies / TV]" — all-time popular movies or shows on Trakt (by lifetime watch counts, not current trending). Use for "best of all time" lists.
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  • Deep intelligence on a TikTok or YouTube creator by handle. Returns viral DNA scores (viral_dna_score, replicability_score, originality_score, consistency_score, audience_fatigue), format fingerprint, top 5 recent videos with metadata (and transcripts on TikTok), content gaps, AND a `recommended_chain` field with pre-filled next tool calls. USE WHEN the user references a creator by @handle, asks "analyze X", wants competitor research, or needs creator context before generating content. The recommended_chain suggests which tools to call next (match_voice, trend_pulse, viral_remix) with parameters pre-filled — review and execute them as appropriate. Supports platform: "tiktok" (default, full transcript extraction) and "youtube" (channel Shorts analysis; transcript extraction lands in v1.1, current YouTube responses surface a partial-data flag noting this). Costs 5 credits. 1-hour cache per (handle, platform). TOOL HEALTH: Every response includes a `quality` field with a level (full | partial | degraded) and a reason. If quality.level is partial or degraded, you MUST flag this to the user explicitly in chat (e.g. "Heads up — this call returned partial data: <reason>") before reporting any results. Never silently route around a degraded response. REPORTING: When you summarize this in chat, you MUST surface viral_dna.viral_dna_signals, viral_dna.replicability_signals, viral_dna.originality_signals (each as bullet lists with the cited evidence string verbatim) AND viral_dna.would_fail_because verbatim AND provenance.video_post_dates so the user can see freshness. Never hide the evidence array behind a paraphrase — these are the auditability layer.
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  • Fetch a YouTube video transcript from a video URL or 11-char id. The transcript is cleaned server-side: deduplicated, tags/HTML stripped, with coarse [m:ss] timestamps - roughly a tenth the size of the raw captions. Default format='text' returns it inline (when it fits ~40K chars / ~10K tokens) so a single call gives you the text directly; long-form videos fall back to a download_url note. Pass format='json' for the same transcript plus structured metadata and a presigned download_url - for batch/programmatic use. Default origin='uploader_provided' (human captions); falls back to 'auto_generated' automatically if missing (counts as 2 upstream calls). Cached 7 days server-side.
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  • Step 2: get the exact payment to RENT a plan for N days (USDC via x402 on Base + card availability). This hosted server holds NO funds and cannot provision — it returns everything needed to pay elsewhere. The `provision` field spells out the three ways to actually get the server. Read it and act on it.
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  • Return a JSON matrix of which data types (metadata, insights, transcript, frames) each supported platform provides — YouTube, YouTube Shorts, TikTok, Instagram Reels, Pinterest, Reddit. Purpose: check what is available for a platform BEFORE calling framefetch_extract, so you only request supported fields. No input required.
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  • Browse a YouTube channel's content. Returns channel{id, name, handle, subscriberCount, videoCount, isVerified, thumbnails} on every tab. Video/short/playlist tabs also return items[{id, videoUrl, title, author, publishedAt, thumbnails}] and continuationToken. About tab returns the full profile including country, joinedDate, viewCount, and links[]. Best for: auditing a creator's catalog, pulling all videos from a channel, reading channel description. Not recommended for: fetching a single known video. Use stophy_get_video instead.
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  • Return the most popular podcasts on fyyd, optionally filtered by category slug and language code, with up to 30 results per call.
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  • Act on a signal finding — the exit from discovery into the lead repository (VAA-100). action='find_people' (default) runs a paid Exa search (≤5¢) for decision-makers at the finding's company and upserts them into `gtm_leads` with source 'signal' and the signal headline as their hook/why; action='dismiss' marks the finding handled without spending. Both stamp acted_at so a finding is handled once (a second find_people returns already_acted). Pass `finding_id` (from `worker_findings` or the Workers page's buying-signals feed) and optionally `roles` to steer who to look for (default founder/CEO/CTO/Head-of/VP). Returns { ok, action, found, added, charged_cents }.
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  • Get transcripts for a YouTube channel's most recent videos (newest first) as timestamped markdown, one section per video. Use for research across a creator's recent output; for one known video use get_transcript. Read-only; requires an API key. Charges 1 credit per video that returns a transcript, including repeat calls; videos without captions are skipped free. A 10-video call typically costs up to 10 credits, so start with a small limit. Rate limit: 5 requests per 10 seconds.
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  • Returns all dataset categories and popular tags available on the Nova Scotia Open Data portal. Use this first to discover valid category names before calling search_datasets with a category filter.
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  • Fetch a single web page and extract clean content. Auto-tier server-side: handles SSR (Next.js, Nuxt, TikTok, Pinterest, YouTube), SPA shells, PDFs, paywall detection, residential-proxy escalation, and stealth profiles for TikTok / Instagram tags / Pinterest / Threads-search / YouTube. Returns clean markdown (default) with a YAML frontmatter header (url, outcome, total_chars). Read 'outcome' to classify the result (success | teaser | thin_content | paywall | bot_challenge | consent_wall | login_wall | rate_limited | timeout | transient_upstream | unsupported_target | not_found | error). Large pages (>80k chars) are truncated inline with truncated_chars + a download_full_url to the complete extraction (expires ~1h). Permanently unsupported (outcome=unsupported_target, cost=0 upstream): Bluesky searchPosts, IG profile/post pages, Threads profile/post pages, Truth Social, Xiaohongshu.
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  • Look up metadata for a TikTok music track. Provide either music_id or music_url, not both. Cost = 2 tokens.
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