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Timestamp Chapter Marker MCP
x402
Timestamp Chapter Marker MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-17).
Generates or extracts timestamp-based chapter markers from video or audio content data
Price / call$0.1
Success—
StatusUnknown
How this service works
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Output
A structured list of chapter markers, each containing a timestamp (in HH:MM:SS or MM:SS format) and a descriptive chapter title, suitable for use in video descriptions, podcast show notes, or media player chapter tracks.
Example use cases
YouTube video chapter generation
“I have this transcript from my 45-minute tutorial video — can you turn it into timestamped chapter markers I can paste into the YouTube description? Here's the full transcript text.”
Podcast episode segmentation
“Here's the raw transcript from my podcast episode. Can you identify the main topic shifts and create chapter markers with timestamps so listeners can jump to specific sections?”
Online course navigation markers
“I need chapter markers for this lecture recording. Take this transcript and generate a list of titled sections with their start timestamps so students can navigate the course video easily.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/timestamp-chapter-marker-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to automatically segment video or audio content into navigable chapters with timestamps, especially for YouTube videos, podcasts, or online courses. Prefer it over manual editing tools when processing text transcripts at scale or when building a pipeline that enriches media content with navigation metadata.
Side effects
- Empty or malformed input data string returns an error or empty marker list
- Input lacking temporal cues or timestamps may produce imprecise chapter boundaries
- Very long transcripts may time out or return partial results
- Non-transcription content (e.g. raw binary data) will produce nonsensical output
- Missing speaker or topic transitions may result in too few or too many chapters
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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