spokenmd/spoken
by Various
Podcast transcript API — turn any published podcast into clean Markdown with real speaker names. Built for AI agents.
MCP
spokenmd/spoken
Added 8 June 2026
Overview
Spoken is a JavaScript API that converts published podcast episodes into clean Markdown transcripts with accurate speaker attribution. It is designed for AI agents to programmatically access and process podcast content.
Best for
Best for
Developers building AI agents that need to ingest and process podcast transcripts programmatically.
Use cases
- Extract structured transcripts from podcast episodes for analysis
- Feed podcast content into AI agents for summarization or search
- Build applications that index or search across multiple podcast shows
How to use
Tools exposed
search_podcastslist_episodesget_transcriptget_balance
Tested with
Claude Desktop, Cursor, Cline
Example client config
{\n "mcpServers": {\n "spoken": {\n "command": "npx",\n "args": ["-y", "spoken-mcp"],\n "env": { "SPOKEN_API_KEY": "pt_your_key" }\n }\n }\n} Notes
Spoken is a JavaScript API that converts published podcast episodes into clean Markdown transcripts with accurate speaker attribution. It is designed for AI agents to programmatically access and process podcast content.
2 stars on GitHub. Last updated 2026-06-05. Licensed MIT.
Use cases
- Extract structured transcripts from podcast episodes for analysis
- Feed podcast content into AI agents for summarization or search
- Build applications that index or search across multiple podcast shows
Pros
- Outputs clean Markdown with real speaker names, not generic labels
- Simple API focused on a single, well-defined task
- Open source with a permissive license
Cons
- Limited to published podcasts only, no live or private audio
- Small community (2 stars) suggests early stage or niche adoption
- No built-in support for non-English or heavily accented speech
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Outputs clean Markdown with real speaker names, not generic labels
- Simple API focused on a single, well-defined task
- Open source with a permissive license
Cons
- Limited to published podcasts only, no live or private audio
- Small community (2 stars) suggests early stage or niche adoption
- No built-in support for non-English or heavily accented speech
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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