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B2B Social Video Transcripts MCP Server

B2B Social Video Transcripts MCP Server

by mambalabsdev
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TypeScript
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B2B Social Video Transcripts MCP Server

MCP Registry npm version npm downloads license

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

Related MCP server: yt-repurpose

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

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.

Available Tools

1 tool
b2b_social_video_transcriptsB2B Social Video TranscriptsA
Read-only

Get transcripts of public TikTok, Instagram Reels, Facebook Reels, X, Threads, podcast, and Wistia videos, and in outbound mode pull pain points, buying signals, competitor mentions, and icebreakers with timestamps. Speech-to-text and AI calls run on the buyer's own API keys.

Inputs: mode, ai_model, creators, hashtags, +30 more.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.5/5.0

    Scored across 1 tool

    Disambiguation3/5

    With only one tool there is no cross-tool misselection risk, but the tool internally bundles two distinct behaviors: plain transcript retrieval and an 'outbound mode' that extracts pain points, buying signals, competitor mentions, and icebreakers. An agent must infer which mode to trigger from arguments rather than from distinct tool surfaces, which is a mild internal ambiguity.

    Naming Consistency4/5

    The single name is a clear, snake_case noun phrase that matches the server name exactly, so there is no inconsistency to penalize. It does not follow a verb_noun action pattern (e.g., get_transcript, analyze_transcript), leaving the dual-mode behavior undiscoverable from the name alone.

    Tool Count3/5

    One tool for seven platforms plus two distinct operating modes (transcript vs. outbound intelligence) feels thin; the natural decomposition would be at least separate transcribe and analyze operations. The count is defensible as a single-endpoint proxy, but it is borderline for the breadth advertised.

    Completeness3/5

    Core capability (fetch transcripts, extract outbound insights) is present and self-contained, so no dead end for the primary workflow. However, there is no discovery/listing of supported sources, no batch or async status handling, and no options for language/format, which limits coverage for a multi-platform transcription domain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources

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