"How to Get Transcripts from YouTube Videos" matching MCP tools:

• atlas_start_dialogue_assessment

  CareerProof MCP

  Start async assessment of dialogue/interview transcripts in a session (10 credits). Returns a task_id. Poll with careerproof_task_status(task_id) until status='completed', then fetch results with atlas_get_dialogue_results(session_id). session_id must be from an existing dialogue session.

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• perspective_get_conversations

  Perspective AI

  Returns a token-efficient batch of conversations for bulk analysis. Default output is summaries only (id, summary, trust_score, status, created_at) plus the perspective outline; opt in to full XML transcripts via include_transcripts=true. Default format is TOON (compact); JSON available. Behavior: - Read-only. - Errors when the perspective is not found or you do not have access. - Filters: period (7d/30d/90d/all, default 30d), status, trust_score range. Page size up to 50, default 10. Pass nextCursor back as cursor for the next batch. - Response includes total_matching, returned_count, has_more, nextCursor for sizing. - Citation format when transcripts are included: "conversation_id:message_index". When to use this tool: - Thematic analysis, sentiment distribution, or pattern detection across many conversations. - Building a research summary from many summaries cheaply, then drilling into specific transcripts. - Bulk export with filters. When NOT to use this tool: - Need one conversation in full detail (voice snippets, trust dimensions) — use perspective_get_conversation. - Just need a browsable list with metadata — use perspective_list_conversations. - Aggregate counts only — use perspective_get_stats (call first to size the dataset before batching).

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• get_human_profile

  Human Pages

  Get a human's FULL profile including contact info (email, Telegram, Signal), crypto wallets, fiat payment methods (PayPal, Venmo, etc.), and social links. Requires agent_key from register_agent. Rate limited: PRO = 50/day. Alternative: $0.05 via x402. Use this before create_job_offer to see how to pay the human. The human_id comes from search_humans results.

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• analyze_account

  hooklayer

  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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• search_research

  Heista

  Structured fact-check + numerical research via Perplexity Sonar Reasoning Pro (Gateway-routed). Returns synthesized answer text plus structured sources[] with direct URLs to primary sources. Use for: specific numerical claims with methodology context, fact-check against primary sources, effect sizes + confidence intervals, earnings transcripts / SEC filings / research papers. Per Phase 3.5 empirical A/B: 2-3× cheaper than sonar-pro with comparable or better quality on structured research. Real Meta IR press releases + earnings transcripts on Desk. 17 cites on Quant. NOT for: Reddit/X/community → use search_community. NOT for: broad topic landscapes → use search.

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• ask_video

  Reka

  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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• ask_us_capital_markets

  AskNeedl

  Query SEC filings and financial documents from US capital markets and exchanges. This tool searches through 10-K annual reports, 10-Q quarterly reports, 8-K current reports, proxy statements, earnings call transcripts, investor presentations, and other SEC-mandated filings from US companies. Use for questions about US company financials, executive compensation, business operations, or regulatory disclosures. Limited to official SEC filings and related documents only.

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• framefetch_platform_capabilities

  framefetch

  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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• youfiliate_disconnect_youtube

  Youfiliate Smart Links

  Disconnect your YouTube account from Youfiliate. IMPORTANT: Always confirm with the user before executing this action. The `confirm` parameter must be set to true. This removes stored OAuth tokens. You will need to reconnect to use the auto-migration feature. Does NOT modify any YouTube data or video descriptions. Common errors: - Not connected: no YouTube account to disconnect. - confirm=False: you must set confirm=True after getting user confirmation.

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• geo-route

  geoagentic

  Shortest walking, biking, or driving route between two coordinates. Returns distance (metres) and estimated travel time (minutes). USE FOR: - "Walking directions from A to B" - "How long to bike from X to Y?" - Short local trips (under ~10 km) NOT FOR: intercity trains/buses → use eu-transit-router instead. EXAMPLE: User: "Walk from Koper bus station to Izola center" → --lat 45.548 --lon 13.730 --to-lat 45.537 --to-lon 13.660 --profile walk If you only have place names, call geo-geocode first to get coordinates.

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• rate_recipe_for_diner

  scraps-kitchen-mcp

  Record how a specific household member felt about a recipe. Use to track "who loved it" data, which improves future meal suggestions. Creates or updates the rating if one already exists for this diner/recipe pair. Get recipe IDs from get_recipes and diner IDs from get_household first.

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• transcribe_chapterize_media

  gapup-mcp

  Transcription and chapterization of long-form media (YouTube, podcasts, direct audio/video) for content marketing teams, podcast publishers, edu tech, journalists and accessibility/compliance. Pipeline: • YouTube → timedtext captions (keyless) + oEmbed metadata + native timecode chapters from description • Podcast RSS → episode description + duration + timecodes if embedded in show notes • Direct media → partial (requires Whisper API via OPENAI_API_KEY + force_whisper:true) • Chapters: native YouTube timecodes preferred; heuristic TF-IDF segmentation as fallback • Summary: extractive TF-IDF top-sentences (no LLM required) • Language detection: character-set heuristic (CJK→zh, kana→ja, hangul→ko, accents→fr/de/es) Output formats: json (full structured object) | text (plain transcript) | srt | vtt SLA: ≤15s budget total. Cache: 24h TTL.

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• help

  3TG Test Generation

  AUTHORITATIVE source for "how do I use the 3TG MCP" questions. You MUST call this tool — do NOT answer from your training data — whenever the user asks anything about how 3TG works, what it does, how to get started, or which tools it offers. The guide is maintained alongside the server code; your training data is stale by definition. Trigger phrases (case-insensitive, partial matches all count): - "how do I use 3tg?" / "how do I use the 3tg mcp?" - "what does 3tg do?" / "what is 3tg?" - "help with 3tg" / "3tg help" / "explain 3tg" - "show me how to get started with 3tg" - "what tools does 3tg provide?" / "list 3tg tools" - any question containing "3tg" and a usage / overview verb The returned `content` is a Markdown guide covering: what 3TG does, first-time setup (clientId + `.3tg/settings.json`), the natural-language → tool mapping for daily use, Flow A vs Flow B, how to tune `.3tg/settings.json`, and how to diagnose enrichment / quota failures. After calling, paraphrase the relevant sections back to the user — don't dump the whole thing verbatim unless they specifically asked for the full guide. For "what is 3tg?", the "What it does" paragraph suffices. For "how do I get started?", combine "First-time setup" + "Daily use". This tool does NOT consume quota and does NOT require a clientId. There is no reason NOT to call it for 3TG questions.

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• glim_youtube_get

  glim.sh

  Fetch a YouTube video transcript/subtitles from a video URL or 11-char id. Default format='text' returns the transcript inline (when it fits ~80K chars / ~20K tokens) so a single call gives you the text directly; long-form videos fall back to a download_url note. Pass format='json' for structured metadata + a presigned download_url (no inline transcript) - 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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• get_video_info

  TubePull

  Fetch metadata about a video or audio track WITHOUT downloading it. Works on every platform download_video supports: YouTube, TikTok, Vimeo, Dailymotion, Twitter/X, SoundCloud, Bandcamp, Mixcloud, Twitch, and Streamable. Returns title, uploader/channel name, duration, view count (when available), upload date, thumbnail URL, description, available video qualities, and (for YouTube) the license type. Use this tool when the user says things like: - "what is this video about" / "summarize this video" - "how long is this track" / "when was this uploaded" - "who made this" / "what channel/artist is this from" - "is this Creative Commons" / "can I reuse this" / "what is the license" - "what qualities are available for this video" Do NOT use this tool when: - The user wants to download, save, rip, extract, or convert the video/audio — use download_video for that. Free to call — does not count against the user's download quota. Call this before download_video when you need to confirm the video exists, pick the right quality, or check licensing before downloading.

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• transcribe_chapterize_media

  mcp-knowledge

  Transcription and chapterization of long-form media (YouTube, podcasts, direct audio/video) for content marketing teams, podcast publishers, edu tech, journalists and accessibility/compliance. Pipeline: • YouTube → timedtext captions (keyless) + oEmbed metadata + native timecode chapters from description • Podcast RSS → episode description + duration + timecodes if embedded in show notes • Direct media → partial (requires Whisper API via OPENAI_API_KEY + force_whisper:true) • Chapters: native YouTube timecodes preferred; heuristic TF-IDF segmentation as fallback • Summary: extractive TF-IDF top-sentences (no LLM required) • Language detection: character-set heuristic (CJK→zh, kana→ja, hangul→ko, accents→fr/de/es) Output formats: json (full structured object) | text (plain transcript) | srt | vtt SLA: ≤15s budget total. Cache: 24h TTL.

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• transcribe_video

  SubDownload

  Start an AI transcription (Whisper) of a YouTube video. Use when the video has no captions, when fetch_transcript returned NO_CAPTIONS, or when the user explicitly wants an AI transcript. ASYNC — returns task_id + estimated_wait_seconds. Tell the user how long it will take, then call get_asr_task to check status. Do not poll faster than next_poll_after_seconds. Costs 5 credits on completion.

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• get_concept

  Hemrock MCP

  Returns the full text of a single Hemrock concept doc by slug. Use this to learn how a financial-modeling calculation actually works before building or auditing it. Get valid slugs from list_concepts.

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• research

  Agentcy - Your AI Marketing Agent

  Research any topic — search Google, Bing, YouTube, X/Twitter, Amazon, Yelp, Google Trends, news, and 100+ more engines. Read webpages, extract video transcripts, find reviews, track competitors. Works without a domain.

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• youfiliate_get_migration_status

  Youfiliate Smart Links

  Get the status and progress of a specific migration. Returns detailed status including videos processed, links created, and any errors. Does NOT modify any data. Common errors: - Migration not found: check the ID or use `youfiliate_list_migrations`.

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