B2B Social Video Transcripts MCP Server

An MCP server for the Mamba Labs B2B Social Video Transcripts actor on Apify. Turn prospect videos into transcripts, pain points, and icebreakers.

What's Inside

What it does
Quick start
Prerequisites
Example prompts
Tool
Inputs
Pricing
Full actor documentation
License

What it does

Reads public social videos and podcast episodes, transcribes them on your own speech-to-text key, and in outbound mode extracts pain points, buying signals, competitor mentions, and icebreakers on your own AI key.

All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

{
  "mcpServers": {
    "mamba-b2b-social-video-transcripts": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-b2b-social-video-transcripts"
      ],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Restart the client. The b2b_social_video_transcripts tool appears.

Prerequisites

Node.js 18 or newer.
An Apify API token from console.apify.com/account/integrations, set as APIFY_TOKEN. The server lists its tool without a token; a call needs one.

Example prompts

"Transcribe these 3 TikTok videos and list the pain points each speaker mentions."
"Watch these 5 podcast feeds and tell me which new episodes mention switching CRM tools."

Tool

b2b_social_video_transcripts. One tool. Example arguments:

{
  "mode": "transcript",
  "video_urls": [
    "https://www.tiktok.com/@washingtonpost/video/7198260520103841070"
  ]
}

Inputs

Every buyer facing input of the actor. Omitted inputs take the actor's own defaults.

Input	Type	Required	Description
`mode`	string	no	transcript (default): transcript, caption, creator, and counts for each video given. outbound: the same plus pain points, buying signals, competitor mentions, and icebreakers on your AI key. watch_list: checks creators, podcast feeds, podcast keywords, and Threads hashtags for videos earlier runs have not seen, and transcribes only those.
`video_urls`	array	no	TikTok video, Instagram reel, Facebook reel, X post, Threads post, podcast episode or RSS feed, Wistia page, or YouTube video URLs. A podcast feed URL reads its latest episodes, up to max_videos_per_creator.
`creators`	array	no	watch_list mode: profile URLs or platform:handle, for example instagram:hubspot, x:gong_io, facebook:HubSpot, threads:hubspot. TikTok has no creator feed without a login, so TikTok creators are refused with a free row.
`podcast_feeds`	array	no	Podcast RSS feed URLs. In watch_list mode each feed is watched for new episodes; in the other modes the latest episodes are read.
`podcast_keywords`	array	no	watch_list mode: search terms for finding podcast feeds through the iTunes search API; each feed found is watched.
`hashtags`	array	no	watch_list mode: Threads hashtags, without #. Hashtag pages on TikTok, Instagram, X, and Facebook need a login or do not list newest first, so only Threads is read.
`wistia_ids`	array	no	Wistia media IDs, or company page URLs that embed Wistia videos; the page is scanned for embedded media IDs.
`include_commenters`	boolean	no	yes or no (default no). On TikTok videos at or above webhook_min_score, adds one row per commenter: handle, name, profile URL, comment, time, likes.
`watch_list_name`	string	no	Names the stored watch list. Rows are also appended to a named dataset b2b-social-video-transcripts-, and seen video IDs are kept in a named key-value store b2b-social-video-transcripts--state. Letters, numbers, and dashes; up to 28 characters. Default default.
`watch_list_depth`	string	no	transcript (default) or outbound: what runs on each new video in watch_list mode.
`max_videos_per_creator`	number	no	Most videos read per creator, feed, keyword result, or hashtag in one run. Default 10, up to 100.
`since_days`	number	no	Skips videos older than this many days. Default 30.
`topic_filter`	array	no	Keywords. A video whose caption, hashtags, and title match none of them is skipped before any speech-to-text call, as a free skipped_off_topic row.
`transcript_filter`	array	no	Keywords matched against the spoken words. Rows are kept, with transcript_match true or false.
`stt_provider`	string	no	openai (default), groq, deepgram, or assemblyai. Used for videos with no native subtitle or transcript.
`stt_api_key`	string	no	Your own key for the provider above. Without a key, only videos with native subtitles or transcripts are transcribed; the rest return a free no_speech_track row. Never stored or logged.
`stt_model`	string	no	Optional. With openai the default is gpt-4o-mini-transcribe in transcript mode and whisper-1 when timestamps are needed (outbound mode or include_segments yes), because only whisper-1 returns timestamps among OpenAI models.
`stt_fallback_provider`	string	no	Optional second provider, tried when the first refuses or fails.
`stt_fallback_api_key`	string	no	Your own key for the fallback provider.
`ai_provider`	string	no	openai (default), anthropic, or gemini. Used by outbound mode and for translation.
`ai_api_key`	string	no	Your own key for the AI provider. Without it, outbound mode returns transcripts only and charges no outbound-insights. Never stored or logged.
`ai_model`	string	no	Optional override. Defaults: gpt-4.1-mini (openai), claude-haiku-4-5 (anthropic), gemini-2.5-flash (gemini).
`my_company`	string	no	Your company name, so pain points and icebreakers fit your offer.
`my_product`	string	no	What you sell, in one line.
`competitors`	array	no	Brand names to flag when spoken. Each is matched exactly in the transcript and by the AI call.
`translate_to_english`	boolean	no	yes or no. Default yes in outbound mode, no in the other modes. Needs the AI key.
`include_segments`	boolean	no	yes or no (default no). Adds transcript_segments to each row. Outbound mode always fills them when the source gives timestamps.
`youtube_transcript_provider`	string	no	scrapecreators, searchapi, or supadata. YouTube videos are transcribed only through your own key with one of these services.
`youtube_transcript_api_key`	string	no	Your own key for the YouTube transcript provider above. Without it, YouTube URLs return a free row.
`youtube_transcript_fallback_provider`	string	no	Optional second YouTube transcript provider.
`youtube_transcript_fallback_api_key`	string	no	Your own key for the fallback YouTube provider.
`webhook_url`	string	no	Optional. Each new video row with buying_signal_score at or above webhook_min_score is sent here as a POST with a Slack compatible text field.
`webhook_min_score`	number	no	0 to 100. Default 0 sends every video row.
`max_charge_usd`	number	no	Optional. The run stops before a charge that would pass this amount. Summary rows are always returned.

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

Event	Free plan	Bronze	Silver	Gold
`video-transcript`, one video with a transcript, first 3 minutes included	$0.025	$0.02375	$0.0225	$0.02125
`transcript-minute`, each started minute after the first 3	$0.008	$0.0076	$0.0072	$0.0068
`outbound-insights`, outbound fields for one video, outbound mode only	$0.02	$0.019	$0.018	$0.017
`creator-check`, one creator, feed, keyword, or hashtag checked	$0.005	$0.00475	$0.0045	$0.00425
`creator-check-residential`, one Instagram profile checked	$0.045	$0.04275	$0.0405	$0.03825
`commenter-row`, one TikTok commenter	$0.002	$0.0019	$0.0018	$0.0017
`apify-actor-start`, per run start	$0.0085	$0.0085	$0.0085	$0.0085

Rows with no speech, off topic, not found, or blocked are free, and so is a refused input. Mamba Labs pays the platform costs of the run, Apify proxy traffic included.

Full actor documentation

apify.com/mambalabs/b2b-social-video-transcripts

License

MIT. See LICENSE.

B2B Social Video Transcripts MCP Server