# Podcast Transcripts On-Demand

> Use this tool when you need to access accurate and up-to-date transcripts of podcasts, solving problems of discoverability, research, and accessibility. It provides high-quality transcripts as output, accepting podcast episode inputs and feedback for feature requests and bug reports through its interface. Ideal for researchers, podcast enthusiasts, and accessibility advocates who require timely and reliable transcript data.

Canonical page: https://skillsregistry.net/skills/petabloom-podcasts  
JSON: https://api.skillsregistry.net/v1/skills/petabloom-podcasts

## Description

Access high quality transcripts for podcasts. Updated in real-time as new episodes are published. This MCP server also accepts feedback for feature requests and bug reports.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-06-18

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/petabloom/podcasts)

## Use it

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": "petabloom-podcasts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/petabloom-podcasts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/petabloom-podcasts/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