Spoken vs Transcription — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Spoken vs Transcription
In-depth architectural comparison of the Spoken and Transcription MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Spoken
Speech-to-Text · Local stdio
Quality: 55/100 (Good) | Auth: API Key required
Transcription
Speech-to-Text · Local stdio
Quality: 53/100 (Good) | Auth: No auth required
Verdict Summary: Choose Spoken if you need specialized Speech-to-Text tools running via a local process. Choose Transcription if your workspace requires Speech-to-Text integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Spoken when:
You need dedicated capabilities in the Speech-to-Text domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Paid Service).
You have access to required keys: SPOKEN_API_KEY.
Primary tools included: Returns transcripts with real speaker names, not generic labels, Outputs clean Markdown with timestamps for easy parsing, Supports search by text query or Spotify/YouTube URL.
Fetch published podcast transcripts as clean Markdown with real speaker names (not "Speaker 1") via the Spoken API. Search episodes, get transcripts, check credit balance.
AI transcription from URLs. 99% accuracy, speaker diarization, 98+ languages.
Spoken is categorized under Speech-to-Text and uses a local stdio subprocess. In contrast, Transcription belongs to Speech-to-Text using local stdio subprocess. Select Spoken when you need capabilities focused on speech-to-text and Transcription when you require tools for speech-to-text.
Transcribe audio/video from a public URL (Google Drive, Dropbox, OneDrive, or direct file URLs). Supports `language`, `diarize`, `speaker_count`, `align`, `webhook_url`, `idempotency_key`, `await_completed`.
transcribe_upload
Transcribe a LOCAL file. Drives the 3-step upload flow internally. Up to 5 GB.
transcribe_status
Check the status of a transcription by ID. Returns the full transcript when completed.
transcribe_cancel
Cancel an in-flight transcription. Refunds reserved balance. Idempotent.
transcribe_delete
Soft-delete a transcription record. Idempotent. Refuses to delete in-flight jobs.
list_transcriptions
List recent transcriptions with `status`, `from`, `to`, `limit`, `cursor`, `order` filters.
export_transcript
Export a completed transcript as SRT subtitles, WebVTT subtitles, or plain text. Segmentation knobs: `max_words`, `max_chars`, `max_duration`, `sentence_aware`, `include_speakers`, `strip_chars`.
check_balance
View your API credit balance and estimated hours available.