# Spoken

> Use this tool when you need to retrieve podcast transcripts with accurate speaker names in a clean Markdown format. It solves the problem of manually transcribing podcasts or dealing with poorly formatted transcripts, and is useful for tasks such as content analysis, research, or accessibility initiatives. The tool takes podcast search queries or IDs as input and outputs transcripts with speaker names via the Spoken API.

Canonical page: https://skillsregistry.net/skills/roberttomko-spoken  
JSON: https://api.skillsregistry.net/v1/skills/roberttomko-spoken

## Description

Fetch podcast transcripts as clean Markdown with real speaker names via the Spoken API. Tools: search_podcasts, get_transcript, get_balance.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/depd9iaz6f)
- **Repository:** <https://github.com/spokenmd/spoken>

## 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": "roberttomko-spoken"
    }
  }
}
```

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