mcp server
shortsmash
⚒️ Prompt in, finished short out. AI video studio with eyes: CLIP-verified footage, neural voice, karaoke captions, 50-language dubbing, trend harvesting, official publishing APIs.
Set up
Runs on your computer. Pick your agent and operating system.
Before you start
- uv (`curl -LsSf https://astral.sh/uv/install.sh | sh`)
{
"mcpServers": {
"shortsmash": {
"command": "uvx",
"args": [
"shortsmash"
]
}
}
}same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12
Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs
README
synced Oct 26, 2026ShortSmash ⚒️
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.
shortsmash trends food # what's hot right now (free, no keys)
shortsmash batch food --count 5 # turn the top 5 trends into 5 videos
shortsmash serve # 🆕 web studio: http://localhost:8000
shortsmash agent "make a 30s reel about coffee and post it Friday at 6pm"
shortsmash post myvideo.mp4 --caption # post YOUR video: AI title + hashtags
shortsmash post myvideo.mp4 --at "Friday 6pm" --platforms youtube,tiktok
git clone https://github.com/hydope/shortsmash && cd shortsmash
./install.sh # Windows: .\install.ps1
shortsmash "why you can't tickle yourself" # prompt in, finished short out
🏆 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
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:
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
🖥️ ShortSmash Studio
shortsmash serve — generate, browse trends, publish, and track stats from the browser:
| Studio (templates) | Settings (API keys) |
|---|---|
| Publish | Library |
| Trends | Stats |
| Lyrics mode | Auto pilot |
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: 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
| ShortSmash | MoneyPrinterTurbo | OpenPost | Postiz | ShortGPT | |
|---|---|---|---|---|---|
| Prompt → finished short | ✅ | ✅ | ❌ (manual editor) | ❌ | ✅ |
| Post your own video (validate + schedule) | ✅ | ❌ | ✅ | ✅ | ❌ |
| Footage verification | ✅ CLIP + Gemini | ❌ | n/a | n/a | ❌ |
| Offline neural voice fallback | ✅ Piper | ❌ | n/a | n/a | ❌ |
| Audio safety gate | ✅ | ❌ | n/a | n/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/a | n/a | ❌ |
| License | MIT | MIT | AGPL/Commercial | MIT | MIT |
| $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:
& ([scriptblock]::Create((irm "https://raw.githubusercontent.com/hydope/shortsmash/master/install.ps1")))
Windows (CMD) — same thing, one line in Command Prompt:
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:
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:
git clone --depth 1 --filter=blob:none --sparse https://github.com/hydope/shortsmash.git
git -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:
pip install 'shortsmash[ai,voice,captions,trends,vision,mcp,youtube,x,schedule]'
shortsmash init # guided setup: keys, voice, defaults
shortsmash doctor # verify every dependency
# Your first video (needs a free Pixabay key + any LLM key)
shortsmash new "coffee" --duration 30
# Ride the trends
shortsmash trends ai --limit 5
shortsmash batch ai --count 3
# Hands-free
shortsmash 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.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.