MCP: YouTube Data
by icraft2170
Search YouTube, read video transcripts, and pull channel statistics from an AI client.
Turns a coding agent into a video studio: describe a video in plain language and the agent writes an editable plan.json timeline, then renders, edits, generates and delivers the file.
Set up this MCP server in your favorite AI agent — copy a ready-made configuration below.
OrkasVideoStudio is deliberately not a black-box video agent. A video is expressed as a readable, diffable, re-renderable plan (plan.json) that both you and your agent can edit — change one line and only that segment re-renders. The agent supplies the judgement; the project supplies the knowledge of what makes a good video, the deterministic capabilities, and that editable intermediate representation.
You say something like "make a 60-second vertical explainer on vector databases with a Chinese voiceover and captions", and the agent reads the material, writes the timeline and produces the file.
stage-plan builds the edit decision list and stage-assemble walks it, delegating each segment back to compose, generate or edit. A deterministic delivery guard (ovs plan promise-check) verifies the finished cut kept its promise — real motion rather than a silent slideshow — before anything ships.The plan is the contract: "the footage in the middle, generate an opener, compose the stats, one voiceover over all of it" becomes a single editable file in which every segment, caption and narration line re-renders independently.
Needs Node 22 or newer and ffmpeg/ffprobe on your PATH. The renderer is a thin wrapper over HeyGen's hyperframes (pinned), ffmpeg and whisper.cpp. npm i -g @orkas/video-studio provides the ovs command; ovs doctor checks the prerequisites.
Agents pick it up three ways: as native SKILL.md knowledge packs in Claude Code and Codex, as MCP tools that mirror the CLI one to one, or through the self-describing CLI for any agent that can run a shell.
It began as the built-in video agent inside Orkas, the AI-team desktop app, and is now MIT-licensed and standalone.
by icraft2170
Search YouTube, read video transcripts, and pull channel statistics from an AI client.
Official MCP server for the Mux video API, built on a code-execution scheme: the agent writes TypeScript against the SDK and runs it in a Deno sandbox.
Red Hat's zero-dependency C++23 code-context engine — ranked call graphs and blast-radius analysis, indexing a repo in under half a second with no server and no database.
Builds a searchable markdown graph of your repo so coding agents stop re-exploring it on every task — reported 42% fewer tokens and 46% fewer tool calls.