Official description7 sourcesMCP servers8d ago
ankurmans/pepys-mcp
Transcribe audio, video, YouTube links
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Config template (adjust for your client)
claude mcp add pepys-mcp -- npx -y pepys-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
- Star count
- 0 ★ · ankurmans/pepys-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
- Source
- collected from the punkpeye/awesome-mcp-servers list · type: MCP server
- Harvest history
- first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
- Score
- score 703 · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
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repository
ankurmans/pepys-mcp；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.Third-party quality signals
pepys-mcp
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
> Transcription for AI agents, by **Pepys**.
The **Pepys transcription MCP server** – give any MCP-speaking agent (Claude, ChatGPT, Cursor, Gemini, open-source agents) speaker-labeled, timestamped transcription of audio and video: diarization, SRT/VTT captions, paste-a-link ingestion (YouTube, podcasts, Drive/Dropbox), batch, and word-level export. **Pepys never trains on your audio.**
The package runs locally over stdio with a Pepys API key. Pepys also hosts a production OAuth connector at https://pepys.co/api/mcp for compatible remote-MCP clients.
Install & configure
Requires **Node ≥ 18** and a Pepys API key (pk_live_…) from . Some capabilities require an account entitlement.
Run it with npx (no global install):
**Claude Desktop / Claude Code** – claude_desktop_config.json (or claude mcp add):
**Cursor** – ~/.cursor/mcp.json, same shape. **Windsurf / other dev agents** – point them at npx -y pepys-mcp with PEPYS_API_KEY in the env.
Optional env: PEPYS_API_BASE (defaults to https://pepys.co/api/v1).
Claude Code plugin
This repo also bundles a Claude Code plugin that points at the hosted OAuth connector (no API key needed):
The first tool call opens an OAuth sign-in to your Pepys account. See skills/pepys/SKILL.md for what it can do and example prompts.
Tools
| Tool | What it does |
|---|---|
| transcribe | Start a transcription from a url (file / YouTube / podcast / Drive) or a file_ref. Options: diarize (entitlement required), summary, chapters, translate_to, quality, podcast episode_guid/episode_index. Returns { job_id, status }. |
| get_transcription | Fetch a job by job_id; set wait_ms:25000 to long-poll short clips to completion in one call. |
| upload_file | Upload local media (a path or bytes_base64) → a file_ref for transcribe. |
| list_transcriptions | Recent jobs (id, status, title, minutes). |
| list_podcast_episodes | Episodes of an RSS/Apple/Spotify feed, with episode_guids. |
| transcribe_podcast_feed | Batch a whole feed (or latest N). Account entitlement required. |
| export_transcript | Export SRT / VTT / TXT / MD / JSON. Word-level timing requires an account entitlement. (DOCX/PDF: use the web app.) |
| search_transcript | Find a phrase in a long transcript → only the matching timestamped segments (no full-transcript context load). |
| ask_transcription | Answer a question about a transcript with server-verified, citation-backed claims only. |
| get_credit_balance | Remaining transcription balance and entitlement state. |
The **Pepys transcription MCP server** – give any MCP-speaking agent (Claude, ChatGPT, Cursor, Gemini, open-source agents) speaker-labeled, timestamped transcription of audio and video: diarization, SRT/VTT captions, paste-a-link ingestion (YouTube, podcasts, Drive/Dropbox), batch, and word-level export. **Pepys never trains on your audio.**
The package runs locally over stdio with a Pepys API key. Pepys also hosts a production OAuth connector at https://pepys.co/api/mcp for compatible remote-MCP clients.
Install & configure
Requires **Node ≥ 18** and a Pepys API key (pk_live_…) from . Some capabilities require an account entitlement.
Run it with npx (no global install):
**Claude Desktop / Claude Code** – claude_desktop_config.json (or claude mcp add):
**Cursor** – ~/.cursor/mcp.json, same shape. **Windsurf / other dev agents** – point them at npx -y pepys-mcp with PEPYS_API_KEY in the env.
Optional env: PEPYS_API_BASE (defaults to https://pepys.co/api/v1).
Claude Code plugin
This repo also bundles a Claude Code plugin that points at the hosted OAuth connector (no API key needed):
The first tool call opens an OAuth sign-in to your Pepys account. See skills/pepys/SKILL.md for what it can do and example prompts.
Tools
| Tool | What it does |
|---|---|
| transcribe | Start a transcription from a url (file / YouTube / podcast / Drive) or a file_ref. Options: diarize (entitlement required), summary, chapters, translate_to, quality, podcast episode_guid/episode_index. Returns { job_id, status }. |
| get_transcription | Fetch a job by job_id; set wait_ms:25000 to long-poll short clips to completion in one call. |
| upload_file | Upload local media (a path or bytes_base64) → a file_ref for transcribe. |
| list_transcriptions | Recent jobs (id, status, title, minutes). |
| list_podcast_episodes | Episodes of an RSS/Apple/Spotify feed, with episode_guids. |
| transcribe_podcast_feed | Batch a whole feed (or latest N). Account entitlement required. |
| export_transcript | Export SRT / VTT / TXT / MD / JSON. Word-level timing requires an account entitlement. (DOCX/PDF: use the web app.) |
| search_transcript | Find a phrase in a long transcript → only the matching timestamped segments (no full-transcript context load). |
| ask_transcription | Answer a question about a transcript with server-verified, citation-backed claims only. |
| get_credit_balance | Remaining transcription balance and entitlement state. |
- Source
- awesome · https://github.com/ankurmans/pepys-mcp
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