transcribe_chapterize_media

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Low RISK CLASS

Category Read

Parameters 61 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/transcribe-chapterize-media.md

WHAT IT DOES

What transcribe_chapterize_media does on Mcp Knowledge

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.

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	—	ISO 639-1 language hint (e.g. "en", "fr", "de"). Default "auto".
`async`	boolean	—	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	—	Maximum number of chapters. Default 8.
`output_format`	string	—	Transcript format. Default "json".
`include_summary`	boolean	—	Include extractive summary. Default true.

Parameters from the server's own tool schema.

RISK

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 definition Transcription and chapterization of long-form media (YouTube, podcasts, direct audio/video)... YouTube → timedtext captions (keyless) + oEmbed metadata + native timecode chapters

Risk signalsAccepts URL/endpoint input (url)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs transcribe_chapterize_media safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For transcribe_chapterize_media, this is the rule to start with:

transcribe_chapterize_media Allowed

transcribe_chapterize_media is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

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

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every transcribe_chapterize_media call is checked against it from then on.

FAQ

Questions about transcribe_chapterize_media

What does the transcribe_chapterize_media tool do? +

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. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.

What parameters does transcribe_chapterize_media accept? +

transcribe_chapterize_media accepts 6 parameters: url, lang, async, chapters_max, output_format, include_summary. Required: url. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on transcribe_chapterize_media? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for transcribe_chapterize_media: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp Knowledge. Nothing to install.

What risk level is transcribe_chapterize_media? +

transcribe_chapterize_media is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit transcribe_chapterize_media? +

Yes. Add a rate_limit block to the transcribe_chapterize_media rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block transcribe_chapterize_media completely? +

Set action: deny in the PolicyLayer policy for transcribe_chapterize_media. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides transcribe_chapterize_media? +

transcribe_chapterize_media is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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