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Podcast transcripts as clean Markdown with real speaker names — via the Spoken API.
Podcast transcripts as clean Markdown with real speaker names — via the Spoken API.
Valid MCP server (2 strong, 3 medium validity signals). No known CVEs in dependencies. Package registry verified. Imported from the Official MCP Registry.
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This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: SPOKEN_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-spokenmd-spoken": {
"env": {
"SPOKEN_API_KEY": "your-spoken-api-key-here"
},
"args": [
"-y",
"spoken-mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
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.
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.
agents.md, llms.txt, and an OpenAPI specGet a key at spoken.md — or try it free with the demo key pt_demo (search works fully; transcripts limited to the demo episode).
# 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.
| Method & path | What it does | Credits |
|---|---|---|
GET /search?q={query or URL} | Find episodes; returns id, title, podcast, date | 0 |
GET /transcripts/{id} | Return the Markdown transcript | 1 on first fetch, 0 on repeat |
GET /balance | Current credit balance + usage history | 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/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 callsThis repo includes spoken-mcp, a Model Context Protocol server that exposes Spoken to MCP-compatible agents (Claude Desktop, Cursor, Cline, …). It provides three tools:
| Tool | Description |
|---|---|
search_podcasts | Find episodes by text or a pasted Spotify/YouTube URL |
get_transcript | Fetch an episode's transcript as Markdown with real speaker names |
get_balance | Check remaining credits |
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
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).
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.
Spoken is built and maintained at spoken.md.
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