Pepys MCP

Install

Works with Claude Code, VS Code, Codex, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/pepys-co-pepys-mcp

About

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

6 read · 3 write · 0 delete

Secrets

1 (API keys, tokens or passwords)

Install scripts

None found

Runs as

Node.js package

Tools (9)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• export_transcriptExport a transcriptread-only

  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.)

• get_credit_balanceCheck credit balanceread-only

  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.

• get_transcriptionGet transcription resultread-only

  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'.

• list_podcast_episodesList podcast episodesread-only

  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.

• list_transcriptionsList recent transcriptionsread-only

  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.

• search_transcriptSearch within a transcriptread-only

  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.

• transcribeTranscribe audio/video

  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.

• transcribe_podcast_feedBatch-transcribe a 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).

• upload_fileUpload local media

  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.

Signals

Last release

Jul 4, 2026 (3 months ago)

Details

Registry name

co.pepys/pepys-mcp

Version

0.1.1

Auth

Auth not stated, API key

Packages

npm pepys-mcp

License

License unknown

First seen

Oct 24, 2026

Last checked

Oct 24, 2026

Source

Official MCP Registry