I’ve been working on a way to connect Claude (and other Model Context Protocol clients like ChatGPT) to a large index of public and user-uploaded audio.
The result is a Remote MCP server for Audioscrape that lets an AI assistant query and return relevant segments from:
Popular podcasts
Court hearings
Earnings calls
Any audio you upload yourself
Example query:
"What is Joe Rogan saying about Germany on his podcasts?"
The MCP server handles the transcription index and exposes a search_audio_content tool. Claude then calls it and surfaces exact matching moments from the audio.
Tech notes:
Server: Remote MCP spec implementation
Search: Full-text index over transcripts
Client: Works with Claude Desktop, Mobile, Web MCP support
Data: Combination of public audio sources + user uploads
I’m curious how others might extend MCP for searching non-text data sources - especially if you’ve tried integrating AI assistants with large datasets outside the usual APIs.
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Show HN: Search Podcasts, Court Hearings, and Earnings Calls via Claude's MCP · HackerTrans
The result is a Remote MCP server for Audioscrape that lets an AI assistant query and return relevant segments from:
Popular podcasts
Court hearings
Earnings calls
Any audio you upload yourself
Example query:
"What is Joe Rogan saying about Germany on his podcasts?"
The MCP server handles the transcription index and exposes a search_audio_content tool. Claude then calls it and surfaces exact matching moments from the audio.
Tech notes:
Server: Remote MCP spec implementation
Search: Full-text index over transcripts
Client: Works with Claude Desktop, Mobile, Web MCP support
Data: Combination of public audio sources + user uploads
Docs & setup:
Claude setup: https://www.audioscrape.com/docs/claude-setup
MCP server details: https://www.audioscrape.com/docs/mcp
I’m curious how others might extend MCP for searching non-text data sources - especially if you’ve tried integrating AI assistants with large datasets outside the usual APIs.