ittybitty MCP server

ittybitty MCP server

Enables AI agents to generate narrated videos from topics or scripts, with stock footage, home videos, or local AI clips.

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README

ittybitty

Topic or script in → narrated video out. Shorts for TikTok and Reels, or longer chaptered explainers — with stock footage, your Jellyfin/Plex home videos, or local AI clips.

License Status · 中文 README

Alpha — under construction. APIs, pipelines (R3 screening, R9 talker), and the Windows installer may change between releases. Not production-ready. See alpha release checklist before going public or tagging.

Three ways to use it (pick one):

Windows app Web dashboard MCP server
For Everyday use on your PC Browser UI while you develop or self-host Cursor, Claude, other MCP clients
You get Installer + desktop shortcut; backend starts automatically Generate, Jobs, Depot, Settings, Help videogen_* tools for agents
Start Download installer Run locally or use the app above Connect MCP

Same engine under all three: Python backend on port 11054, React dashboard on 11055 when running the dev stack.


Contents

Windows app Installer — no Python required
Web dashboard Browser UI (dev or bundled in desktop app)
MCP server Agent automation
What you need Keys and optional extras
Footage sources Where B-roll comes from
vs MoneyPrinterTurbo Why pick ittybitty
More help Config, troubleshooting, API docs
Marketing site GitHub Pages one-pager (also website/ locally)

Windows app

Best if you just want to make videos.

  1. Download the latest pre-release installer from Releases (tag v0.2.0-alpha.* or newer)
  2. Run the installer → launch ittybitty from Start or your desktop shortcut
  3. In Settings, add a free Pexels key → Generate with a topic or paste a script

The installer bundles the web dashboard and Python backend — no separate Python or Node install.

Install folder: %LOCALAPPDATA%\ittybitty\
If the backend fails to start: %LOCALAPPDATA%\ai.fleet.ittybitty\logs\backend-spawn.log


Web dashboard

The React UI: Generate, Plan (mid-length), Jobs, Depot, Publish, Settings, Help, Logs.

Already using the Windows app? You're in the dashboard — nothing else to install.

Running on your dev machine (live reload, for contributors):

git clone https://github.com/sandraschi/ittybittyvideos.git videogen-mcp
cd videogen-mcp
.\start.bat

Open http://127.0.0.1:11055. The script starts the dashboard and the API together.

Needs Python 3.10+, FFmpeg, and Node.js — see INSTALL.md.


MCP server

For AI agents that should generate or plan videos over the Model Context Protocol.

  1. Start the backend (Windows app running, or .\start.bat -BackendOnly, or uv run python -m videogen_mcp.server)
  2. Point your MCP client at http://127.0.0.1:11054/mcp

Example prompts: "Generate a 45-second video about Vienna coffee culture" · "Plan a 5-minute sourdough tutorial" · "Call videogen_help first"

Tool list and REST API: docs/TOOLS.md (16 MCP tools; catalog at /api/v1/tools) · Claude Desktop / MCPB: INSTALL.md


What you need

For You need
Most workflows FFmpeg on PATH + free Pexels API key
Topic → script DeepSeek or OpenAI key, or paste your own script
Home videos as B-roll Jellyfin or Plex URL + token (Settings)
Local AI clips (GPU) CUDA ~24 GB + .\start-localgen.bat

The in-app Help page walks through each step.


Footage sources

Pick one in Settings → Footage:

  • Pexels — free stock (default, no GPU)
  • Jellyfin / Plex — cut clips from your library (vacation, pets, …)
  • Veo / Omni — Google cloud (config)
  • LocalGen — Wan 2.2 on your GPU

Finished videos land in ./output/ and appear in Depot.


How this differs from MoneyPrinterTurbo

MoneyPrinterTurbo popularized topic → short video. ittybitty targets the same job with fleet tooling: agents, longer formats, your own libraries, and a path to local GPU — still alpha, so expect rough edges.

MoneyPrinterTurbo ittybitty (alpha)
How you run it Web UI Windows app + web dashboard + HTTP MCP
Length Mostly shorts (~60s) Shorts + 3–15 min chapters (planner + videographer rules)
Footage Stock APIs Pexels + Jellyfin/Plex + LocalGen (Wan 2.2) + Veo/Omni
Agents videogen_* tools for Cursor, Claude, fleet MCP clients
Library & jobs SQLite depot, job history, publish handoff
Edit intelligence Assembly / concat Hook, pacing, B-roll, transitions; R1 karaoke subs; R2 beat snap + ducking; R3 screening (experimental)
Architecture Monolith Plugin registry — swap LLM, stock, and TTS providers
Desktop NSIS installer (Windows, backend bundled)
Status Mature OSS Alphachecklist

中文说明与中国本地栈(通义千问、CosyVoice 等):README-zh.md


Sample output

Demo reel coming soon (GSD puppy short). Quick test render:

py scripts/smoke_render.py

docs/examples/README.md


More help

Doc When to read it
INSTALL.md All install paths, MCPB, verification
docs/CONFIGURATION.md Env vars and providers
docs/TROUBLESHOOTING.md Something broke
docs/ALPHA-RELEASE-CHECKLIST.md Going public / alpha tag
docs/PROMPT-DIRECTOR.md R10 trope templates (mermaid)
docs/EXEMPLARS-RESEARCH.md Viral Short formats + mid expansion
docs/TOOLS.md MCP tools and REST API
docs/DEVELOPMENT.md Tests, Tauri build, CI
SPEC.md Architecture and roadmap
CHANGELOG.md Version history

Fleet docs: mcp-central-docs/projects/ittybitty


MIT · sandraschi · v0.2.0

Repo folder videogen-mcp, Python package videogen_mcp — kept for MCP tool compatibility.

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