
ShortSmash
io.github.hydope由 GitHub 帳號 hydope 發布v0.3.0更新於 Nov 4, 2026
Generate finished short videos from a prompt, fetch trends, and check project status via MCP.
概覽
ShortSmash 能把一句提示或熱門話題變成附字幕的成品直式短影音並發佈到社群平台,其 MCP 伺服器讓助理直接驅動這條流程。
- 可以做什麼
- 依提示詞生成短影音,包含腳本、配音、經驗證的素材或 AI 畫面、字幕與渲染
- 依領域抓取熱門話題,並把趨勢批次做成影片
- 列出專案並查詢影片生成進度
- 透過各平台官方 API 發佈或排程發佈成品影片(依 README;MCP 工具清單本身未公開)
- 適用情境
- 適合希望助理從一句話或當下熱點端到端產出直式短影音,並在對話中追蹤或發佈這些專案的情境。
- 執行需求
- 以 Python 套件形式在使用者電腦本機執行(uvx shortsmash),需要 Python 3.11–3.13 與 ffmpeg。生成影片需要 API 金鑰,例如免費的 Pixabay 金鑰與某個 LLM 金鑰(Gemini、NVIDIA NIM 或相容 OpenAI 的端點);發佈需要各平台的 API 憑證。MCP 伺服器本身未宣告驗證。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 ShortSmash,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
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.
🏆 Featured in
ShortSmash is listed in curated awesome lists (merged PRs):
- ToolkitlyAI/awesome-ai-tools — AI Video
- TensorBlock/awesome-mcp-servers — MCP registry profile live on tensorblock.co
- sajadh76/awesome-AI-tools — Video Generation
- mcpHQ/awesome-mcp-servers — MCP Servers
- Jenqyang/Awesome-AI-Agents — AI Agents
- Official MCP Registry —
io.github.hydope/shortsmash, installable viapip install shortsmash
🏗️ Architecture
🖥️ 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:
Same video, re-voiced — native neural voices, same verified footage:
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
The deepest place on Earth — 14s, 1080×1920
Why time flies faster as you get older — 11s, 1080×1920
📤 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:
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
- 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: customwith 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 urre-voices any video in 50 languages — Urdu, Hindi, Arabic, Spanish, French, German, Chinese, Portuguese and 42 more — plusur-roman/hi-romanfor 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 analyticspulls 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 batchturns 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_serverexposesgenerate_video,get_trends,list_projects,project_statusto 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
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:
Windows (CMD) — same thing, one line in Command Prompt:
Linux / macOS / Git Bash (Windows) — one line, works everywhere including Git Bash on Windows:
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:
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:
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.mddocs/setup-threads.md,setup-bluesky.md,setup-linkedin.md,setup-pinterest.md,setup-facebook.md,setup-facebook_page.mddocs/trends.md— trend sources and scoringdocs/mcp.md— MCP server setup for Claude Code / Cursordocs/visual-providers.md— plugging in AI visual generation
License
MIT — build whatever you want.
來源:README.md,提交 3d0f704
工具
0版本歷史
1- v0.3.0最新Oct 21, 2026
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