# Audioscrape Audio Intelligence

> Use this tool when you need to uncover insights from vast amounts of audio content, such as podcasts, and quickly find specific information within transcripts. It solves problems like research, fact-checking, and content discovery by providing semantic search and entity recognition capabilities. With access to 250K+ podcasts and 13M+ transcript segments, it offers a powerful interface for searching and analyzing audio data.

Canonical page: https://skillsregistry.net/skills/com-audioscrape-audio-intelligence  
JSON: https://api.skillsregistry.net/v1/skills/com-audioscrape-audio-intelligence

## Description

Search speech in podcasts, government meetings, and your own audio: speakers, entities, timestamps.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.audioscrape%2Faudio-intelligence)

## Use it

MCP endpoint published by the skill: `https://mcp.audioscrape.com`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-audioscrape-audio-intelligence"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-audioscrape-audio-intelligence` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-audioscrape-audio-intelligence/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt