Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Narrated, captioned MP4 videos from Markdown or JSON. Local voice, CPU-only, no API key.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"makevideo": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/random00000000/makevideo:0.6.0",
"mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add makevideo -- docker run -i --rm ghcr.io/random00000000/makevideo:0.6.0 mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"makevideo": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/random00000000/makevideo:0.6.0",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"makevideo": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/random00000000/makevideo:0.6.0",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 random00000000 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.6.0)은 22일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Docker도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Georgia MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
An MCP server for Georgian public data, read from the organizations that publish it.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Fast, standard video generation for AI agents. One JSON script in, one finished MP4 out, rendered the same way every time. You write scenes, each with a line to say. makevideo voices them with one consistent neural voice, times every scene to the real audio, adds captions, and renders an MP4 with a bundled ffmpeg. It runs on the CPU only: no browser, no GPU, no API key and no cloud.
▶ [Your agent can make videos now](docs/your-agent-can-make-videos.mp4) (1:39, written, voiced and rendered by an agent from one JSON file) · ▶ [Watch the 87-second showcase](docs/showcase.mp4), rendered from examples/showcase.json on a laptop CPU, faster than it plays.
Short-form too: "format": "shorts" gives 1080×1920 with big word-by-word captions. ▶ Watch the TikTok-style demo (examples/tiktok.json): 23 s of video rendered in 15 s, plus an auto-exported GIF.
More examples, all made with makevideo: ▶ What's new in 0.6: game trailers (spec) · ▶ Neon Drift game trailer (beat sheet) · ▶ What's new in 0.5: documentaries (spec) · ▶ 59-second demo (spec) · ▶ The house voice · ▶ Distribution recap · ▶ What's new in 0.4: closer to every agent (spec) · ▶ What's new in 0.3: speed (spec) · ▶ What's new in 0.2 (made from one Markdown file) · ▶ Why use makevideo instead of building from scratch (spec) · ▶ Changelog video for v0.1 (spec): changelog and recap videos are a core use case.
What it does: game trailers cut on the beat, with shots filmed from your Electron + Three.js game · narrated slides · automatic transitions (push, slide, zoom, wipe) · kinetic statements · animated charts · split media + text · write Markdown, get a video · screenshots · gameplay/video clips · GIFs in and out · code · stats · quotes · before/after · TikTok/Reels/Shorts captions · custom fonts · background music · screen recording for trailers · .srt captions · poster frames.
npm i github:random00000000/makevideo
npx makevideo init # writes video.json (or: init --style documentary | shorts | explainer) npx makevideo video.json # → video.mp4 + video.srt + video.report.json + video.jpg npx makevideo video.json --fast # same, about 3x faster on a first render
import { video } from 'makevideo';
await video({ title: 'Patch notes 1.2', scenes: [ { type: 'title', title: 'Patch 1.2', subtitle: 'Siege update', say: 'Here is what is new in patch one point two.' }, { type: 'clip', src: 'siege.mp4', title: 'Rams breach gates', say: 'Rams can now breach wooden gates.' }, { type: 'bullets', title: 'Also new', items: ['Faster pathing', 'New HUD'], say: 'Also new. Pathing is faster. And the HUD is redesigned.' }, { type: 'decisions', items: ['Ship Friday?'], say: 'One decision for you. Do we ship on Friday?' }, ], });
Agents get asked for videos all the time, and every agent builds them differently. Each video ends up with a new pipeline, a different voice, no narration unless someone asks for it, and a render that can take ten minutes. makevideo makes that one standard:
| ad-hoc agent videos | makevideo | |
|---|---|---|
| Format | a new script every time | one JSON spec (schema) |
| Voice | random TTS, sometimes none | Kokoro-82M, same voice every time (af_heart) |
| Narration | must be requested | on by default: every scene has say |
| Timing | guessed | measured from the generated audio, per sentence |
| Captions | rarely | burned in, plus an .srt sidecar |
| Speed | minutes | faster than real time on a CPU (see Performance) |
| Verification | watch the whole thing | makevideo preview makes a contact sheet in about 1 s |
The goal is that an agent's *first* attempt looks finished. Without any extra config you get:
auto picks push, zoom, wipe or fade based on what is cut to what. Override with "transition" globally or per scene.42%, v1.2, $3M, 4.6x, 35 s, e.g. and -> are all spoken correctly, and captions keep what you wrote.check flags walls of text, too many bullets, unsynced lists, overlong statements, dense scenes in portrait and repetitive pacing, and says how to fix each one.One switch, style, sets the whole look and sound: documentary (history channels), history (adds a war-drum score), or nature (science and dinosaurs). Then write the script and say which images you want:
---
title: Tyrannosaurus rex, the tyrant lizard king style: nature thumbnailText: The real T. rex
The tyrant lizard king
Sixty six million years ago, the largest predator in its world...
Chapter two. Built to kill.
Its story fits on one line. It appears sixty eight million years ago. It vanishes when the asteroid hits.
What you get, with no other settings:
preview lists which file each search picked, and flags with "?" any pick whose title doesn't match the query (for example a different species). Agents can refine the search before rendering. (or "search": "..." in JSON) searches Wikimedia Commons. It keeps only publish-safe licenses (CC0, public domain, CC BY, CC BY-SA), never reuses an image within a video, caches downloads, and shortens over-specific searches until something matches. Each image gets a small credit line, and the full attributions go into the description.pan / focus to override), plus chapter cards (## Chapter: ...) and timelines.music: documentary | epic | wonder | tension) and ducked under the narration.video.thumbnail.jpg (1280×720), and video.description.txt with YouTube chapter timestamps (0:00 first, each at least 10 s apart) and image credits.▶ The T. rex example (script): 2 min 37 s, rendered from one Markdown file.
From a transcript: treat another creator's transcript as research, not as a script. Have the agent write its own narration. Republishing someone else's script is copyright infringement, and YouTube demonetizes it as "reused content".
The engine enforces these, and following them in the script makes videos land:
say. check warns when they don't match..srt keeps every line). Use captions: "all" to turn this off.---
theme: midnight brand: My Game
The siege update
Here is what changed in patch one point two.
Rams now breach wooden gates. Three hits and they are down. Stone gates still hold.
npx makevideo patch-notes.md
Each #/## heading starts a scene, and its body decides the type: a list gives bullets/steps/decisions, label: number items give a chart, an image or video gives image/clip (or split, when there is text too), a code fence gives code, **42%** label gives a stat, and a paragraph gives a statement. Lines starting with > are the narration. When a scene has none, its visible text is read aloud, because narration is the default. sets scene options. See examples/whats-new-0.2.md; the 0.2 release video is that one file.
/plugin marketplace add random00000000/makevideo
/plugin install makevideo@makevideo
Then just say "make a video about …". Claude writes the spec, previews it, renders it, and hands you the MP4.
The plugin bundles both the skill and the MCP server.
Claude Desktop, Cursor, VS Code, Codex, Windsurf and other MCP clients:
{ "mcpServers": { "makevideo": { "command": "npx", "args": ["-y", "github:random00000000/makevideo", "mcp"] } } }
It's listed in the official MCP Registry as io.github.random00000000/makevideo, as a Docker image (ghcr.io/random00000000/makevideo). Without Node, run docker run -i --rm -v "$PWD:/work" -w /work ghcr.io/random00000000/makevideo mcp.
The tools are make_video (Markdown or JSON in, MP4 out, with progress notifications), preview_video (returns the contact sheet as an image the model can look at), check_video and video_reference. See the MCP guide.
npx -y github:random00000000/makevideo agents --all # AGENTS.md, CLAUDE.md, Cursor rules, Copilot instructions
npx -y github:random00000000/makevideo agents --global # this machine: Claude Code skill + Codex AGENTS.md
This writes a short
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요