Spoken
Podcast transcripts as clean Markdown with real speaker names — via the Spoken API.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http spoken 'https://spoken.md/mcp' --header 'Authorization: <Bearer followed by an API key from spoken.md (Bearer pt_...). Optional: without it only the free tools work, and a client that supports OAuth is asked to sign in.>'
{
"mcpServers": {
"spoken": {
"type": "http",
"url": "https://spoken.md/mcp",
"headers": {
"Authorization": "<Bearer followed by an API key from spoken.md (Bearer pt_...). Optional: without it only the free tools work, and a client that supports OAuth is asked to sign in.>"
}
}
}
}
spoken-mcpclaude mcp add spoken -e 'SPOKEN_API_KEY=<your spoken_api_key>' -- npx -y spoken-mcp@0.4.3
{
"mcpServers": {
"spoken": {
"command": "npx",
"args": [
"-y",
"spoken-mcp@0.4.3"
],
"env": {
"SPOKEN_API_KEY": "<your spoken_api_key>"
}
}
}
}
Environment variables
SPOKEN_API_KEYsecret API key from spoken.md (starts with pt_). Defaults to pt_demo (search works fully; transcripts limited to the demo episode).
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
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
| Method & path | What it does | Credits |
|---|---|---|
GET /search?q={query or URL} | Find episodes; returns id, title, podcast, podcastId, date | 0 |
GET /podcasts/{podcastId}/episodes | List a show's full back catalog; returns every episode's id, title, date | 0 |
GET /transcripts/{id} | Return the Markdown transcript | 1 on first fetch, 0 on repeat |
GET /balance | Current credit balance + usage history | 0 |
GET /following | The shows this key keeps up with (inferred from fetches, or declared with PUT / dropped with DELETE /following/{podcastId}) | 0 |
GET /new | New episodes on those shows that have not been fetched yet, each with a transcript URL; ?format=atom for a feed | 0 |
POST /buy | New-key checkout (Stripe) | — |
POST /top-up?key={key} | Returning-customer top-up (Stripe) | — |
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 itexamples/rag_pipeline.py— chunk a transcript for a vector store / RAGexamples/quickstart.sh— search → transcript in two curl callsexamples/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
Spoken is a Model Context Protocol server two ways: hosted at https://spoken.md/mcp, and as spoken-mcp, the package in this repo, for clients that run a server locally (Claude Desktop, Cursor, Cline, …). Both provide the same eight tools:
| Tool | Description |
|---|---|
search_podcasts | Find episodes by text or a pasted Spotify/YouTube URL |
list_episodes | List a show's entire back-catalog from a podcast_id |
get_transcript | Fetch an episode's transcript as Markdown with real speaker names |
get_balance | Check remaining credits |
list_following | The shows this key is kept current on, inferred from fetches or declared |
follow_podcast | Declare a follow for a show (or clear a mute) |
unfollow_podcast | Mute a show so it leaves the list and fetches do not re-add it |
list_new_episodes | New episodes on followed shows that have not been fetched yet, with transcript links |
Keeping a knowledge base current is list_new_episodes on a schedule and get_transcript on what it lists: each fetch raises that show's floor.
Hosted
Nothing to install. Point a client that connects to a URL at https://spoken.md/mcp (Streamable HTTP):
claude mcp add --transport http spoken https://spoken.md/mcp
The client asks you to sign in the first time a tool needs your key. To skip that, send the key as a header yourself: Authorization: Bearer pt_your_key.
A client that can only sign in with OAuth, such as ChatGPT in developer mode, is sent to a page where you paste your key once. Steps for each app: spoken.md/mcp-server. With no key at all, searching, listing a show and the demo episode work.
Local
Add it to your MCP client config (e.g. Claude Desktop's claude_desktop_config.json):
{
"mcpServers": {
"spoken": {
"command": "npx",
"args": ["-y", "spoken-mcp"],
"env": { "SPOKEN_API_KEY": "pt_your_key" }
}
}
}
SPOKEN_API_KEY defaults to pt_demo (search works fully; transcripts limited to the demo episode). Get a real key at spoken.md.
Run from source instead:
npm install && npm run build
SPOKEN_API_KEY=pt_your_key node dist/index.js
Use with AI agents
Spoken is designed to be called by agents. Point your agent at the Agent Skill (also served at https://spoken.md/.well-known/skills/spoken-md/SKILL.md), or hand it agents.md. The OpenAPI spec makes it easy to wrap as a tool for any function-calling or MCP-compatible client (Claude, GPT, Cursor).
Pricing
Pay-per-use credits, no subscription. New keys: 100 for $15, 500 for $50, 2,000 for $160. Machine-readable at spoken.md/pricing.md.
Links
- Website & docs: **https://spoken.md**
- Agent instructions: https://spoken.md/agents.md
- OpenAPI spec: https://spoken.md/.well-known/openapi.json
- LLM-friendly overview: https://spoken.md/llms.txt
Spoken is built and maintained at spoken.md.
Frequently asked questions
What is Spoken?
Podcast transcripts as clean Markdown with real speaker names — via the Spoken API.
How do I install Spoken?
It runs as a remote server. In Claude Code: claude mcp add --transport http spoken 'https://spoken.md/mcp' --header 'Authorization: <Bearer followed by an API key from spoken.md (Bearer pt_...). Optional: without it only the free tools work, and a client that supports OAuth is asked to sign in.>'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Spoken need an API key?
Yes. It expects SPOKEN_API_KEY, Authorization, which you set in its configuration.
Is Spoken open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Spoken?
It is published by spokenmd. AI.tn lists it but does not maintain or endorse it.
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