
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.
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
在 SourceWeft 中
- 打开 控制台中的 ShortSmash,将其添加到工作区。
- 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.
🏆 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.
来源:README.md,提交 3d0f704
工具
0版本历史
1- v0.3.0最新Oct 21, 2026
评分
已满足适用检查项的 50%
该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。
- 近 30 天内可连通25 分
请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。
- 已声明认证方式10 分
请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。
- 已列出工具15 分
请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。
- 描述必需15 分
- 图标10 分
- 文档15 分
- 许可证10 分