ShortSmash

io.github.hydope由 GitHub 账号 hydope 发布v0.3.0更新于 Nov 4, 2026

Generate finished short videos from a prompt, fetch trends, and check project status via MCP.

已验证STDIO仅桌面沟通与协作媒体与设计

概览

AI 生成的概览

ShortSmash 能把一句话或热门话题变成带字幕的成品竖屏短视频并可发布到社交平台,其 MCP 服务器让助手直接驱动这条流水线。

可以做什么
  • 根据提示词生成短视频,涵盖脚本、配音、经校验的素材或 AI 画面、字幕与渲染
  • 按领域抓取热门话题,并把趋势批量做成视频
  • 列出项目并查询视频生成进度
  • 通过各平台官方 API 发布或定时发布成品视频(据 README;MCP 工具清单本身未公开)
适用场景
适合希望助手从一句话或当下热点端到端产出竖屏短视频,并在对话中跟踪或发布这些项目的场景。
运行要求
以 Python 包形式在本地桌面运行(uvx shortsmash),需要 Python 3.11–3.13 与 ffmpeg。生成视频需要 API 密钥,例如免费的 Pixabay 密钥和某个 LLM 密钥(Gemini、NVIDIA NIM 或兼容 OpenAI 的端点);发布需要各平台的 API 凭据。MCP 服务器本身未声明认证。
安装前请注意
流水线会调用第三方 LLM、语音合成、素材库和 AI 视频服务,提示词与生成内容会离开本机。发布会向已连接的社交账号发帖,定时任务会真实排队发布,启用前请确认。平台 API 凭据保存在本地设置中。README 中的一行安装命令会下载并执行远程脚本。

安装

在 SourceWeft 中

  1. 打开 控制台中的 ShortSmash,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

ShortSmash ⚒️

[ShortSmash — Prompt in. Finished short out.]

[MIT License] [Python 3.11+] [Tests] [CI]

Prompt in. Finished short out.

ShortSmash is an AI video studio that takes one sentence — or today's trends — and ships a finished, captioned 9:16 short, then publishes it to YouTube, TikTok, Instagram, X, Threads, Bluesky, LinkedIn, Pinterest, and Facebook (profiles + Pages) through their official APIs. Script, voiceover, verified stock footage, karaoke captions, music ducking, trend harvesting, batch production, scheduling and comment-reply drafts, all in one CLI. And an MCP server, so AI agents can drive the whole factory.

bash
shortsmash trends food                    # what's hot right now (free, no keys)shortsmash batch food --count 5           # turn the top 5 trends into 5 videosshortsmash serve                          # 🆕 web studio: http://localhost:8000shortsmash agent "make a 30s reel about coffee and post it Friday at 6pm"shortsmash post myvideo.mp4 --caption     # post YOUR video: AI title + hashtagsshortsmash post myvideo.mp4 --at "Friday 6pm" --platforms youtube,tiktok
bash
git clone https://github.com/hydope/shortsmash && cd shortsmash./install.sh                          # Windows: .\install.ps1shortsmash "why you can't tickle yourself"   # prompt in, finished short out

🏆 Featured in

ShortSmash is listed in curated awesome lists (merged PRs):

🏗️ Architecture

mermaid
flowchart LR    P["Prompt / trend"] --> LLM["LLM: script + shot plan<br/>(NVIDIA · Gemini · Grok)"]    LLM --> TTS["Neural TTS<br/>(50 languages)"]    LLM --> VIS["Visuals<br/>(Pixabay · Agnes · Veo 3.1 · Kling)"]    VIS --> GATE["Vision gate<br/>(CLIP + Gemini)"]    GATE -->|reject| VIS    TTS --> REN["FFmpeg render<br/>1080×1920 · karaoke captions<br/>cinematic grade · music"]    GATE --> REN    REN --> DUB["Dub engine<br/>(50 languages)"]    REN --> PUB["10 publishers<br/>(official APIs)"]    DUB --> PUB    PUB --> SCHED["Scheduler<br/>(SQLite · 'Friday 6pm')"]

🖥️ ShortSmash Studio (web UI)

shortsmash serve launches a dark, fast studio in your browser — no build step:

  • 🎬 Studio tab — type a topic, hit Smash, watch it build; video previews inline
  • 📈 Trends tab — browse what's hot per niche, click any trend to use it as your topic
  • 📚 Library tab — every project, video preview, one-click publish
  • 📤 Manual posts — upload your own video, get a pre-flight check (resolution, duration, per-platform limits), AI-written title + hashtags, then post now or schedule it ("Friday 6pm") to 10 platforms
  • 📊 Stats tab — your output at a glance

🎬 Demo

Made end-to-end by ShortSmash — no hand-picked clips, no human editing. LLM script, neural voice, CLIP-verified stock footage, karaoke captions, ducked music bed.

"How Goats Made You Addicted to Coffee" — 49s, 1080×1920, made from one prompt. Click to play:

[图片]

Same video, re-voiced — native neural voices, same verified footage:

[图片] [图片] [图片] [图片]

Español · اردو · Roman Urdu · 中文 — the Mandarin version uses a native voice (not translationese) with Hanzi karaoke captions. One project, every audience.

More demos — each made from a single prompt, click to play:

Why you can't tickle yourself — 11s, 1080×1920

[图片]

The deepest place on Earth — 14s, 1080×1920

[图片]

Why time flies faster as you get older — 11s, 1080×1920

[图片]

📤 Or skip the AI — post your own video

Upload any video, get a pre-flight check (resolution, duration, per-platform limits), an AI-written title + hashtags, then post now or schedule it ("Friday 6pm") to 10 platforms. In the Studio's Publish tab, or one command: shortsmash post myvideo.mp4 --caption

[Studio: upload → validate → post or schedule]

[Post your own video — upload, validate, AI caption, post or schedule]

🖥️ ShortSmash Studio

shortsmash serve — generate, browse trends, publish, and track stats from the browser:

Studio (templates)Settings (API keys)
[Studio tab][Settings tab]
PublishLibrary
[Publish tab][Library tab]
TrendsStats
[Trends tab][Stats tab]
Lyrics modeAuto pilot
[Lyrics tab][Auto tab]

Why ShortSmash

Most text-to-video tools assemble clips blindly — whatever the stock API returns first goes in. That's why automated shorts have the infamous "stock-footage look": a burger in a cooking tutorial, a parrot in a recipe video.

ShortSmash is the first open-source pipeline with eyes:

  • Two-stage vision gate. Every candidate clip's middle frame is checked by a local CLIP model (offline, no quota, no cost) against 15 confuser categories — burgers, birds, houseplants, empty pans, citrus fruit — then by Gemini vision when quota allows. Wrong footage never ships.
  • Audible gate. Renders with dead or missing audio fail instead of shipping.
  • Never ships silent. A CC-licensed music library auto-downloads on first run; music is ducked under narration with a real FFmpeg sidechain.

The pipeline

prompt ──▶ script ──▶ voice ──▶ visuals ──▶ captions ──▶ render ──▶ publish           NVIDIA     Edge-TTS   Pixabay      faster-     FFmpeg      official           Gemini     Piper      Veo 3.1      whisper     1080x1920   APIs only           Grok       (offline   Kling        karaoke     +faststart           OpenAI-    neural)    Agnes           compat     50 langs   CLIP-verified
  • Script — NVIDIA NIM (free) → Gemini (free) → Grok → any OpenAI-compatible endpoint (OpenRouter, DeepSeek, local Ollama) → offline template. Writes a scroll-stopping script and a strict JSON edit plan, validated by pydantic. Second-person, punchy, 3–4s scenes.
  • Voice — Edge-TTS → Piper offline neural → gTTS fallback chain. 50 dub languages with native voices, Urdu/Hindi/Arabic included.
  • Visuals — free Pixabay footage or AI generation: Google Veo 3.1 (best quality, native audio), Kling AI (top-tier motion), Agnes AI (free tier) — every clip verified by the vision gate regardless of source. Prefer your own? Set visual_provider: custom with any command (ComfyUI, Replicate, MiniMax…).
  • Captions — faster-whisper word timestamps → burned-in karaoke captions.
  • Render — FFmpeg: 9:16 smart reframe, transitions, hook + CTA overlays, ducked music, H.264/AAC faststart.
  • Publish — YouTube, TikTok, Instagram, Threads, Bluesky, LinkedIn, Pinterest, X. Official APIs only — no Selenium, no scraping, nothing that gets accounts banned.
  • Dub — shortsmash dub <slug> --lang ur re-voices any video in 50 languages — Urdu, Hindi, Arabic, Spanish, French, German, Chinese, Portuguese and 42 more — plus ur-roman / hi-roman for Roman-script captions ("Tum kaise ho?") with the native neural voice. Urdu captions render in proper Nastaliq calligraphy, right-to-left, with the karaoke highlight tracking the spoken word. Same verified clips, new native narration.
  • Analytics — shortsmash analytics pulls real views/likes/comments from YouTube's API. Numbers from the platform, not vanity metrics.
  • Trends — shortsmash trends <niche> harvests Google News + Hacker News (free, no keys). shortsmash batch turns the top trends into videos unattended.
  • Schedule — natural language ("Friday 6pm"), durable SQLite queue, retrying worker.
  • Engage — pulls recent comments, drafts warm replies, you approve each one with a tap. Nothing posts itself.
  • MCP server — python -m shortsmash.mcp_server exposes generate_video, get_trends, list_projects, project_status to Claude Code, Cursor, and any MCP client.
  • Resume — shortsmash resume <slug> picks up failed projects from the first incomplete stage instead of redoing everything.

How ShortSmash compares

ShortSmashMoneyPrinterTurboOpenPostPostizShortGPT
Prompt → finished short✅✅❌ (manual editor)❌✅
Post your own video (validate + schedule)✅❌✅✅❌
Footage verification✅ CLIP + Gemini❌n/an/a❌
Offline neural voice fallback✅ Piper❌n/an/a❌
Audio safety gate✅❌n/an/a❌
Trend harvesting (free, no keys)✅✅❌❌❌
Batch production✅✅❌❌❌
Karaoke word-level captions✅✅✅❌✅
Official publishing APIs✅ 10 platforms⚠️ Selenium for YT✅✅⚠️
Multi-language dubbing✅ 50 languages (incl. Roman Urdu/Hindi, Chinese)❌❌❌✅
Real analytics pull✅❌❌✅❌
Web UI✅ Studio✅✅✅✅
MCP server✅❌✅✅❌
Comment-reply drafts (human-approved)✅❌❌❌❌
Resume failed projects✅❌n/an/a❌
LicenseMITMITAGPL/CommercialMITMIT
$0 to run✅✅self-host✅✅

MoneyPrinterTurbo (129K★) is the most mature; OpenPost is the best manual workspace. ShortSmash is the most engineered AI-native pipeline — the only one that checks its own work.

What ShortSmash will never do

No fake likes, comments, follows, shares, or stars. No botting, no "human-like" evasion of platform detection, no scraping or unofficial endpoints. That violates every platform's rules and gets accounts banned — and it doesn't work for real growth anyway. This boundary is architectural, not a policy note: the capability simply isn't in the codebase.

Quickstart — one command

Windows (PowerShell) — paste this one line, done. It installs Python, FFmpeg, Git if missing, sets everything up, and puts ShortSmash Studio on your Desktop + Start Menu:

powershell
& ([scriptblock]::Create((irm "https://raw.githubusercontent.com/hydope/shortsmash/master/install.ps1")))

Windows (CMD) — same thing, one line in Command Prompt:

cmd
curl -L -o "%TEMP%\rf-install.cmd" "https://raw.githubusercontent.com/hydope/shortsmash/master/install.cmd" && "%TEMP%\rf-install.cmd"

Linux / macOS / Git Bash (Windows) — one line, works everywhere including Git Bash on Windows:

bash
curl -fsSL "https://raw.githubusercontent.com/hydope/shortsmash/master/install.sh" | bash

After install, launch ShortSmash Studio from the Start Menu / Desktop (Windows) or run shortsmash serve → open http://127.0.0.1:8000.

Prefer it manual? Download the repo and double-click install.bat (Windows) or run ./install.sh (Linux/macOS).

Cloning just for the code? The full repo is ~213 MB of demo videos — skip them with a sparse checkout:

bash
git clone --depth 1 --filter=blob:none --sparse https://github.com/hydope/shortsmash.gitgit -C shortsmash sparse-checkout set shortsmash scripts fonts

If an earlier install failed halfway, delete the ShortSmash folder and re-run the one-liner.

Needs Python 3.11–3.13 and ffmpeg. The Windows one-line installers fetch both for you if missing — and if your machine already has Python 3.14, they install 3.13 (PowerShell) or 3.12 (CMD) side by side and use that instead, since 3.14 cannot build a working virtual environment yet. Installs fetch code only (~2 MB, no demo videos).

Make a video in the 🎬 Studio tab, then hit the 🚀 Publish tab to post it to 10 platforms (YouTube, TikTok, Instagram, X, Threads, Bluesky, LinkedIn, Pinterest, Facebook, Facebook Page) in one click — with per-platform setup status and dry-run safety.

Manual install, if you prefer it piecemeal:

bash
pip install 'shortsmash[ai,voice,captions,trends,vision,mcp,youtube,x,schedule]'shortsmash init          # guided setup: keys, voice, defaultsshortsmash doctor        # verify every dependency
# Your first video (needs a free Pixabay key + any LLM key)shortsmash new "coffee" --duration 30
# Ride the trendsshortsmash trends ai --limit 5shortsmash batch ai --count 3
# Hands-freeshortsmash agent "make a 30s reel about the top AI trend and post it Friday at 6pm"

Free keys: Pixabay (footage) · Google AI Studio (Gemini LLM) · NVIDIA NIM (LLM). Or point openai_base_url at local Ollama and pay nothing at all.

Docs

Per-platform publishing setup (official APIs):

  • docs/setup-youtube.md, setup-tiktok.md, setup-instagram.md, setup-x.md
  • docs/setup-threads.md, setup-bluesky.md, setup-linkedin.md, setup-pinterest.md, setup-facebook.md, setup-facebook_page.md
  • docs/trends.md — trend sources and scoring
  • docs/mcp.md — MCP server setup for Claude Code / Cursor
  • docs/visual-providers.md — plugging in AI visual generation

License

MIT — build whatever you want.

来源:README.md,提交 3d0f704

工具

0
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版本历史

1
  1. v0.3.0最新Oct 21, 2026

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