Spoken vs Pepys MCP — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Spoken vs Pepys MCP
In-depth architectural comparison of the Spoken and Pepys MCP 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: 51/100 (Good) | Auth: API Key required
Pepys MCP
Speech-to-Text · Local stdio
Quality: 61/100 (Good) | Auth: API Key required
Verdict Summary: Choose Spoken if you need specialized Speech-to-Text tools running via a local process. Choose Pepys MCP 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 (Freemium).
Primary tools included: Search episodes by text or Spotify/YouTube URL, List complete podcast episode catalogs, Return timestamped Markdown transcripts.
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.
Pay-once transcription for audio, video, and whole podcast feeds via Pepys. Transcribe a file or a pasted YouTube/podcast link, get speaker diarization, export SRT/VTT, search a transcript, and check credit balance. Hosted connector (OAuth, no API key) or npx pepys-mcp. 99+ languages.
Category & Scope
Tools & Capabilities Breakdown
Spoken Tools (5)
Search episodes by text or Spotify/YouTube URL
List complete podcast episode catalogs
Return timestamped Markdown transcripts
Resolve real speaker names
Check remaining API credits
Pepys MCP Tools (9)
transcribe
Transcribe hours-long audio or video into an accurate, speaker-labeled (diarized), timestamped transcript with correctly-timed SRT/VTT captions – work a general model can't do on a raw file. Accepts a file_ref from upload_file or a url (YouTube, podcast episode, RSS feed, Google Drive/Dropbox share). Audio is never used to train models. Returns { job_id, status }; fetch the result with get_transcription.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Spoken is categorized under Speech-to-Text and uses a local stdio subprocess. In contrast, Pepys MCP belongs to Speech-to-Text using local stdio subprocess. Select Spoken when you need capabilities focused on speech-to-text and Pepys MCP when you require tools for speech-to-text.
Fetch a transcription by job_id: full text, per-speaker timestamped segments, summary, duration_seconds, billed_minutes, and language. Set wait_ms (up to 25000) to long-poll so short clips come back in one call; otherwise poll until status is 'done'.
upload_file
Upload local audio/video the agent is holding (as base64 bytes or a file path) and get back a file_ref to pass to transcribe. Use this when the media has no public URL. Requires the Pepys R2 storage backend.
list_transcriptions
List this account's recent transcription jobs with their job_id, status, title, and duration, so you can resume, fetch, or export an earlier result instead of re-transcribing.
list_podcast_episodes
Given a podcast RSS feed or Apple Podcasts show URL, list its episodes (title, publish date, episode_guid, audio_url) so you can pick exactly which one to transcribe.
transcribe_podcast_feed
Batch-transcribe a whole podcast feed in one call – fan out every episode, or the latest N, to individual jobs. Returns a set of job_ids. Paid capability (throughput/abuse gate).
export_transcript
Export a finished transcript as SRT, VTT, TXT, Markdown, or JSON, with correct caption timings. Segment-level export is free; word-level-timed export (word_level:true) is a paid unlock. (DOCX/PDF are available in the Pepys web app.)
search_transcript
Search inside a long transcript for a phrase and get back only the matching timestamped segments – locate a quote or topic in an hours-long recording without loading the whole transcript into context.
get_credit_balance
Return the account's remaining transcription credits (in minutes) so you can check headroom before starting a large batch and avoid running out mid-run.