Where is the source code for Pepys?
The source code is linked from the repository URL on this page.
@Ankur Shrestha
基本信息
Thin stdio MCP connector for the Pepys transcription API. npx pepys-mcp – give Claude, ChatGPT, or Cursor audio/video transcription: diarization, SRT/VTT, podcasts, paste-a-link.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"pepys": {
"command": "npx",
"args": [
"-y",
"pepys-mcp"
],
"env": {
"PEPYS_API_KEY": "pk_live_your_key_here"
}
}
}
}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.
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 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 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.
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.
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 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 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.
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.
Thin stdio MCP connector for the Pepys transcription API. npx pepys-mcp – give Claude, ChatGPT, or Cursor audio/video transcription: diarization, SRT/VTT, podcasts, paste-a-link.
The README includes setup instructions such as "command": "npx",.
The source code is linked from the repository URL on this page.
If the README contains a parseable MCP configuration block, it is shown in the Config tab.
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