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.

Category
Visit Server

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.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured