Pepys in Claude's Connectors Directory
Pepys is a listed connector in Claude's own Connectors Directory – it is not just an MCP server you have to find and configure yourself, it is browsable and addable from inside Claude. That listing carries an automated Anthropic review, a fixed connector URL (https://pepys.co/api/mcp), and a published tool list, categorized under Media and entertainment, Design, and Productivity.
To add it: in Claude, open Settings → Connectors → Browse connectors, search "Pepys," and add it. There is no URL to copy and no manual configuration – sign-in is OAuth against your own Pepys account, and usage bills to that account's credits, the same as connecting any other way.
This route also covers Claude in Chrome, which shares Claude's connector list with no extra setup.
Two other ways to connect
Hosted connector – no API key. Point a remote MCP connector at https://pepys.co/api/mcp directly instead of going through the directory. The agent signs in to Pepys once through OAuth. This is the route for ChatGPT, which does not have its own connector directory yet: Settings → Connectors → Add custom connector (Claude has the same option, for anyone who prefers a direct URL over browsing).
Local server – your own key. Run the published pepys-mcp server with a Pepys API key. This suits local dev agents that already have a terminal to run it from.
{
"mcpServers": {
"pepys": {
"command": "npx",
"args": ["-y", "pepys-mcp"],
"env": { "PEPYS_API_KEY": "pk_live_your_key" }
}
}
}What the agent can do
Both connection methods expose the same tools: transcribe (a file, direct link, or pasted YouTube/podcast URL), upload_file (hand the agent a local file via a presigned upload), get_transcription (read back the transcript, segments, summary, and speaker labels), list_transcriptions, list_podcast_episodes, and export_transcript (correctly-timed SRT, VTT, or plain text).
There are also transcribe_podcast_feed (fan a whole RSS or Apple Podcasts feed out into one transcript per episode), search_transcript (find the moment a phrase was said), ask_transcription (answer a question with citation-backed quotes only), and get_credit_balance.
The same engine behind pepys.co handles the work: automatic language detection across 99+ languages, translation with timestamps preserved, and files from short clips to hours-long recordings.
Example prompts
Once connected, these run directly in the agent's chat.
Transcribe https://youtube.com/watch?v=... with speaker labels and give me a summary.
Transcribe the latest 3 episodes of this podcast feed and tell me how
much of my Pepys balance that used: https://feeds.example.com/show.rss
In my last transcription, find every place the speakers mention "pricing"
and quote the exact timestamps.
Export my most recent transcript as an SRT file.What it costs
The 60 free minutes granted when you create an account apply through the MCP too. After that it is pay-once and usage-based – 1 credit = 1 minute, credits never expire, no subscription. See pricing for the current rates.
Diarization (speaker labels), whole-feed batch transcription, and word-level export unlock with any one-time purchase, the same as everywhere else in Pepys.
Also published in
Beyond Claude's own directory, Pepys is published in the other places agents and MCP tooling browse: Smithery, mcp.so, and the MCP Registry.
The full REST API behind both connection methods is documented from authentication onwards, including a dedicated MCP article, and the MCP server page is the short overview.