# transcribe_chapterize_media

Transcription and chapterization of long-form media (YouTube, podcasts, direct audio/video) for content marketing teams, podcast publishers, edu tech, journalists and accessibility/compliance. Pipeline: • YouTube → timedtext captions (keyless) + oEmbed metadata + native timecode chapters from description • Podcast RSS → episode description + duration + timecodes if embedded in show notes • Direct media → partial (requires Whisper API via OPENAI_API_KEY + force_whisper:true) • Chapters: native YouTube timecodes preferred; heuristic TF-IDF segmentation as fallback • Summary: extractive TF-IDF top-sentences (no LLM required) • Language detection: character-set heuristic (CJK→zh, kana→ja, hangul→ko, accents→fr/de/es) Output formats: json (full structured object) | text (plain transcript) | srt | vtt SLA: ≤15s budget total. Cache: 24h TTL.

Agent View of the PolicyLayer registry record for `transcribe_chapterize_media`. HTML page: https://policylayer.com/tools/io-github-getgapup-mcp-knowledge/transcribe-chapterize-media

## Facts

- Tool: `transcribe_chapterize_media`
- Server: Mcp Knowledge (`https://mcp.gapup.io`) — https://policylayer.com/tools/io-github-getgapup-mcp-knowledge.md
- Homepage: https://github.com/getgapup/gapup-mcp
- Risk category: Read (Low risk)
- Registry record: grade F, identity unverified
- Server auth posture: open
- Server rate-limited: no
- Parameters: 6 (1 required)
- Recommended policy verdict: Allowed

## Parameters

| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `url` | string | yes | YouTube URL, podcast RSS feed URL, or direct MP3/MP4 URL. Example: "https://www.youtube.com/watch?v=jNQXAC9IVRw" |
| `lang` | string | no | ISO 639-1 language hint (e.g. "en", "fr", "de"). Default "auto". |
| `async` | boolean | no | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
| `chapters_max` | number | no | Maximum number of chapters. Default 8. |
| `output_format` | string | no | Transcript format. Default "json". |
| `include_summary` | boolean | no | Include extractive summary. Default true. |

Parameters from the server's own tool schema.

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "transcribe_chapterize_media",
    "arguments": {
      "url": "<url>"
    }
  }
}
```

## Why transcribe_chapterize_media is rated Low

This tool retrieves and processes existing media content (captions, metadata, RSS feeds) to produce transcripts and chapter markers. It fetches data from external sources (YouTube, podcast RSS, direct media) and applies text analysis (TF-IDF segmentation) but creates no persistent side effects, deletes nothing, and does not execute arbitrary code or move money. The output is read-only derived content.

From the tool's own definition: "Transcription and chapterization of long-form media (YouTube, podcasts, direct audio/video)... YouTube → timedtext captions (keyless) + oEmbed metadata + native timecode chapters"

Risk signals: Accepts URL/endpoint input (url)

## Use case

AI agents call transcribe_chapterize_media to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

## Recommended policy (PolicyLayer)

Verdict: **Allowed**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Mcp Knowledge:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "transcribe_chapterize_media": {}
  }
}
```

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## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=io-github-getgapup-mcp-knowledge · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/io-github-getgapup-mcp-knowledge