B2B Social Video Transcripts MCP Server
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Alternatives to B2B Social Video Transcripts MCP Server
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- AlicenseAqualityBmaintenanceEnables users to transcribe direct audio and video file links using their own Deepgram, AssemblyAI, Groq, or OpenAI key, returning transcripts with timestamped segments, language, and duration through Apify.1500 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to turn links from YouTube, Instagram, TikTok, X, Facebook, Vimeo, and podcast sources into self-hosted Whisper transcripts with timestamps, subtitles, and downloadable files through MCP and REST APIs.MIT
- AlicenseAqualityBmaintenanceEnables AI assistants to transcribe audio and video from URLs or local files with high accuracy, speaker diarization, 119 languages, and word-level timestamps, while also supporting transcription management and caption export in SRT, WebVTT, or plain text.14298 npm9MIT
- AlicenseAqualityCmaintenanceTranscribes videos from 1000+ platforms (YouTube, TikTok, Vimeo, etc.) and local video files using OpenAI's Whisper model, with support for 90+ languages and multiple output formats.844 npm8MIT
- AlicenseAqualityCmaintenanceEnables agents to turn public video links into timestamped transcripts, chapters, and clip suggestions for YouTube, Twitch, Kick, and TikTok.3MIT
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TDQS
Scored across 1 tool
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.
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.
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.
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.