MCP server

Scribiz Official

com.scribiz/mcp

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

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

Working at last checkVerified publisher: scribiz.comAbout 2,773 tokens per request once connected5 tools

Website Source

https://scribiz.com/mcp

At a glance

Type: MCP server
Publisher: scribiz.com (verified by the MCP Registry)
Status: Working at last check
Tools: 5
Token cost: About 2,773 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http scribiz https://scribiz.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.scribiz]
url = "https://scribiz.com/mcp"

Gemini CLI

{"mcpServers":{"scribiz":{"httpUrl":"https://scribiz.com/mcp"}}}

Cursor

{"mcpServers":{"scribiz":{"url":"https://scribiz.com/mcp"}}}

VS Code

{"servers":{"scribiz":{"type":"http","url":"https://scribiz.com/mcp"}}}

Antigravity

agy mcp add scribiz https://scribiz.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"scribiz","server_url":"https://scribiz.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"scribiz","server_url":"https://scribiz.com/mcp"}

Tools

ask_video ~422 tokens
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 exact. A question c
get_job ~235 tokens
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 and kept for 30 minu
get_transcript ~950 tokens
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, at most max_chars
get_video_context ~598 tokens
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 entities; "full" adds
search_video ~568 tokens
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 read of the video). Use

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