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Search and analyze audio content from a massive database of podcasts, interviews, and other talks
Audioscrape is an MCP server entry in ChatHome Skills, sourced from Docker MCP Registry and scored 76/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. No automated install command is listed; check the repository for manual setup instructions. Review the last-pushed date and repository status before adding Audioscrape to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
See source docsReview the upstream source before running this command.
{
"raw": "name: audioscrape\ntype: remote\ndynamic:\n tools: true\nmeta:\n category: ai\n tags:\n - ai\n - rag\n - audio\n - remote\nabout:\n title: Audioscrape\n description: Search and analyze audio content from a massive database of podcasts, interviews, and other talks\n icon: https://www.google.com/s2/favicons?domain=audioscrape.com&sz=64\nremote:\n transport_type: streamable-http\n url: https://mcp.audioscrape.com\noauth:\n - provider: audioscrape\n secret: audioscrape.personal_access_token\n env: AUDIOSCRAPE_PERSONAL_ACCESS_TOKEN\n",
"path": "servers/audioscrape/server.yaml"
}