AgentXM

Scribiz

mcp remote · streamable-http · v0.1.0 · source: crawl

https://scribiz.com/mcp

https://github.com/Illyism/scribiz-mcp

Transcripts, summaries, chapters and timestamped answers for video links, for AI agents.

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Works

100

Verified Oct 31, 2026 · p50 764 ms · p95 820 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'scribiz'
tools_listed15pass5 tools
schema_complete15pass5 of 5 tools have a description and a typed schema
latency_p5010passp50 764 ms
latency_p955passp95 820 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (5)

NameDescriptionSchema
ask_videoAsk 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 whtyped
get_transcriptRead 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_videotyped
get_video_contextStart 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" typed
search_videoFind 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 ovetyped
get_jobCheck 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 exactltyped

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