Scribiz
by scribiz.com in AI models & inference
Transcripts, summaries, chapters and timestamped answers for video links, for AI agents.
https://scribiz.com/mcp
Last 30 days
- Uptime
- 100%
- Response time
- 225 ms typical, 225 ms slowest 5%
- Last check
- 4 h ago
- Next check
- in 2 h
How to call it
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"scribiz": {
"type": "http",
"url": "https://scribiz.com/mcp"
}
}
}5 tools
- get_transcript
Read the transcript of a video, one page at a time. Use it only when you need the words themselves (quote, translate, copy, review). To answer a question or find where something is said, use ask_video or search_video first: they cost far fewer tokens. Returns "[mm:ss] text" lines
- get_video_context
Start here for any video. Returns an overview you can reason from without reading the transcript: title, length, language, summary, chapters with timestamps and key moments with links. detail "brief" (default) stays under about 2,000 tokens; "standard" adds fuller chapters and en
- ask_video
Ask a question about one video and get an answer with 3 to 5 cited moments (timestamps and links that open the video there). Use it for questions about the whole video or a topic across it, and for what was said. To find where a word or phrase is said, search_video is cheaper and
- search_video
Find where something is said or shown in a video: ranked moments with timestamps and links, from the transcript, the on-screen notes, the chapters and the key moments. It is a local keyword search over what Scribiz already read (no model call, no extra minutes after the first rea
- get_job
Check a video run that returned status "processing". Pass its job_id exactly as given (it can be long: copy all of it). It waits up to the server's wait time for the run to finish, then returns exactly what the original tool would have returned (job ids are private to the caller
Security scan
- No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 4 h ago | Passed | 200 | 225 ms |