# Spoken

> Use this tool when you need to retrieve clean podcast transcripts with identified speaker names. It solves the problem of accessing and formatting podcast content by providing Markdown outputs via the Spoken API. Ideal for use cases requiring easy integration of podcast transcripts, such as research, analysis, or content creation, with inputs including podcast search queries and outputs featuring formatted transcripts.

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

## Description

Fetch published 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):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ophqxhaidh)
- **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": "spokenmd-spoken"
    }
  }
}
```

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