Spoken MCP server

Spoken — podcast transcript API and MCP server, clean Markdown with real speaker names

Spoken is a transcript API that turns any published podcast into clean Markdown with real speaker names — not "Speaker 1." One API call returns named, timestamped text, ready for LLMs, RAG pipelines, summarizers, and search. This repo also ships spoken-mcp, an MCP server that gives Claude Desktop, Claude Code, Cursor and Cline the same transcripts as tools — see Use as an MCP server.

It's a transcript retrieval API, not a speech-to-text service: it works on already-published podcasts, so you skip uploading audio, running diarization, and mapping anonymous speaker labels by hand. For published shows that's typically 5–10× cheaper than running the audio through a transcription service.

• 🎙️ Real speaker names, resolved automatically
• 📄 Clean Markdown with timestamps, tuned for LLM context windows and RAG chunking
• 🔎 Search by text query or paste a Spotify/YouTube URL
• 💳 Pay-per-use credits — no subscription, failed calls never charged, repeat fetches free
• 🤖 Agent-native — ships with an Agent Skill, agents.md, llms.txt, and an OpenAPI spec

Get a key at spoken.md — or try it free with the demo key pt_demo (search works fully; transcripts limited to the demo episode).

Quickstart

# 1. Find an episode (by text, or paste a Spotify/YouTube URL)
curl -s 'https://spoken.md/search?q=huberman+sleep' \
  -H 'x-api-key: pt_demo'

# 2. Fetch the transcript as Markdown
curl -s 'https://spoken.md/transcripts/1000651996090' \
  -H 'x-api-key: pt_demo'

The transcript comes back as Markdown with named speakers and timestamps:

**John Smith** (0:00)
Welcome to the show. Today we're talking about...

**Jane Doe** (0:15)
Thanks for having me.

Endpoints

Auth is the x-api-key header. Responses include X-Credits-Remaining and X-Credits-Charged. See agents.md for the full error table and response shapes.

Examples

• examples/podcast_summarizer.py — fetch a transcript and summarize it
• examples/rag_pipeline.py — chunk a transcript for a vector store / RAG
• examples/quickstart.sh — search → transcript in two curl calls
• examples/archive-show.sh — archive a show's entire back catalogue, one file per episode

Use from Python

The spoken-md package wraps the API with no dependencies outside the standard library, and installs a spoken-md command.

pip install spoken-md

from spoken_md import Spoken

spoken = Spoken()                                  # SPOKEN_API_KEY, or the demo key
episode = spoken.search("huberman sleep")[0]
print(spoken.transcript(episode.id))               # Markdown with real speaker names

archive(podcast_id, skip=...) walks a whole show and is resumable; errors are typed by status (PaymentRequired carries the top-up URL, NotFound means no transcript). See python/README.md.

Use as an MCP server

Shortened. The full README is on GitHub.