Where is the source code for Pepys?
The source code is linked from the repository URL on this page.
@Ankur Shrestha
基本情報
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.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"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.
Daski is a remote MCP server available at https://daski.io.
EQIQs brings working-style and compatibility insights into Claude. Managers and coaches can take or send a short assessment, compare two people, get a read on a team of up to 12, prepare for meetings with tips that fit t
Local tools that let your AI use Mail, Calendar, Contacts, Teams, Slack, WhatsApp, OneDrive, Google Drive, Notion, Outlook and Office files on Mac and Windows. Runs on your computer.
Find the AI tells in your prose. Deterministic, local, runs in CI. MCP server + CLI + Action.

Real-time CRM intelligence for Claude and other AI clients — map corporate ownership hierarchies, verify entity names and registered addresses, and detect duplicate records, directly in chat. No manual lookups, no spread
コメント