Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
Narrated, captioned MP4 videos from Markdown or JSON. Local voice, CPU-only, no API key.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"makevideo": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/random00000000/makevideo:0.6.0",
"mcp"
]
}
}
}ターミナルでこれを実行します
claude mcp add makevideo -- docker run -i --rm ghcr.io/random00000000/makevideo:0.6.0 mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"makevideo": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/random00000000/makevideo:0.6.0",
"mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"makevideo": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/random00000000/makevideo:0.6.0",
"mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント random00000000 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.6.0)がレジストリに届いたのは22 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにDockerも必要です。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Starreel
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
Turn a script into a finished, downloadable short-drama episode — via MCP or REST.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
冒頭だけを表示しています。続きはリポジトリで読めます