video-studio-mcp

video-studio-mcp

Creates narrated 9:16 documentary videos from user-described topics using Wikimedia images and AI voiceover, rendered entirely on your machine.

Category
Visit Server

README

video-studio-mcp

An MCP server that builds narrated 9:16 documentary videos (TikTok / Reels / Shorts) end to end, entirely on your own machine:

Wikimedia Commons imagesAI voiceoverRemotion render → MP4 + QA frames + publishing copy.

You describe a topic; the assistant picks images, writes the storyboard, narrates it, renders it, and hands you the file plus a title/description/hashtags.

The bundled template and default voices are Vietnamese-first. The pipeline itself is language-agnostic — pass any ElevenLabs voice and write the narration in whatever language you want.


Requirements

Needed for Install
Node.js ≥ 20 everything nodejs.org
ffmpeg + ffprobe measuring narration length, extracting QA frames brew install ffmpeg · sudo apt install ffmpeg · winget install Gyan.FFmpeg
ElevenLabs API key real voiceover free key at elevenlabs.io
ImageMagick (optional) slightly nicer thumbnails; ffmpeg is used otherwise brew install imagemagick

Without an ElevenLabs key the server falls back to the macOS say command — noticeably lower quality, and macOS only. On Linux/Windows a key is required.

The server checks for ffmpeg before starting any job and tells you exactly what is missing, rather than failing silently inside a background render.


Install

Add to your MCP client config:

{
  "mcpServers": {
    "video-studio": {
      "command": "npx",
      "args": ["-y", "video-studio-mcp"]
    }
  }
}
Client Config file
Claude Desktop ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) · %APPDATA%\Claude\claude_desktop_config.json (Windows)
Claude Code claude mcp add video-studio -- npx -y video-studio-mcp
Cursor / Cline / others their own mcp.json — same shape

Restart the client afterwards.


Your API key

No API key ships with this package. You supply your own, one of two ways:

Option A — put it in the MCP config (standard, key never enters a chat transcript):

{
  "mcpServers": {
    "video-studio": {
      "command": "npx",
      "args": ["-y", "video-studio-mcp"],
      "env": { "ELEVENLABS_API_KEY": "sk_your_key_here" }
    }
  }
}

Option B — let the assistant ask you. Just start making a video. When a key is needed, the server says so and the assistant asks for yours, then calls its set_api_key tool. The key is written to ~/.config/video-studio/config.json with 0600 permissions and never leaves your machine.

Resolution order: ELEVENLABS_API_KEY env → ~/.config/video-studio/config.json~/.claude/elevenlabs.env.

Ask "where is my video-studio key coming from?" and the assistant will report the active source.


Usage

Just ask, in any language:

"Make a video about the Battle of Bach Dang, 938."

The assistant will:

  1. list_templates — show the available looks and ask you to pick one. This is the one decision it will not make for you.
  2. search_wikimedia_images — find freely-licensed (PD / CC) photos, recording license + author for every one.
  3. create_video — scaffold the Remotion project, download images, write the storyboard, generate the voiceover, and render. Runs in the background.
  4. project_status wait_for='build' — returns the MP4 path plus four QA frames, which the assistant inspects for layout, legible text, correct diacritics, and mis-cropped subjects.
  5. write_publish_meta — a hook title, a description with image credits, and hashtags, saved to publish.txt / publish.json.

Output lands in ~/Work/VideoReview/<slug>/ — change that with the VIDEO_STUDIO_BASE environment variable.

<slug>/
├── out/video.mp4      the finished video
├── content.json       the storyboard — edit and re-render to tweak
├── public/images/     downloaded source images
├── public/voiceover/  per-scene narration mp3s
├── qa/                extracted QA frames
└── publish.txt        title + description + hashtags, ready to paste

Tools

Tool What it does
list_templates every template with its look and what it suits
template_schema the content.json schema for one template
search_wikimedia_images find PD/CC images (title, license, author, dimensions, URL)
preview_images download URLs and return thumbnails to eyeball
create_video one-shot: scaffold + images + storyboard + voiceover + render
new_video_project · add_images · write_content · generate_voiceover · render_video the same pipeline, step by step
project_status poll a background job; returns duration, audio check, QA frames
write_publish_meta save title + description + hashtags
set_api_key save your ElevenLabs key, or report where the current one comes from

Configuration

Variable Default Purpose
ELEVENLABS_API_KEY your key; highest priority
VIDEO_STUDIO_BASE ~/Work/VideoReview where projects are created
ELEVENLABS_VOICE_ID template's voice override the narrator globally

Per-video overrides live in that project's content.json under meta: voiceId, voiceSpeed, voiceModel. meta beats the environment — so each template can own its voice without a global setting silently overriding it.


Templates

id Look Best for
history aged paper, serif type, sepia photos in frames, year seals, timeline historical figures, dynasties, monuments, heritage sites, past events

Adding one: create templates/<id>/ containing template.json (manifest), Composition.tsx, and optionally poster.jpg. The server rescans the directory on every call — no server code to change.

Shared building blocks live in templates/_shared/: Ken Burns motion, photo layouts, scene dissolves, Vietnamese text normalisation. Reuse them instead of rewriting.


Using it as a Claude Code skill

skill/SKILL.md documents the full workflow including a shell-only path that bypasses MCP. To install:

mkdir -p ~/.claude/skills/video-studio
cp -R "$(npm root -g)/video-studio-mcp/"{base,templates,scripts} ~/.claude/skills/video-studio/
cp "$(npm root -g)/video-studio-mcp/skill/SKILL.md" ~/.claude/skills/video-studio/

Pick one path — MCP or CLI, never both. Both drive the same npm run scripts in the same project directory, so mixing them renders twice and can overwrite the MP4 mid-write.


Gotchas worth knowing

  • Vietnamese ALL-CAPS with hook accents. Chromium renders Ỷ Ủ Ổ Ả Ẩ as acute accents. Keep titles sentence-case; write_content rejects the dangerous cases outright.
  • Wikimedia rate limits. upload.wikimedia.org returns 429 aggressively for original file URLs. The downloader asks the API for a /thumb/ URL first and retries with backoff.
  • Reused slugs. A directory built by another template is refused rather than rendered over — different templates render to different filenames, which used to hang status polling forever.
  • Ultra-wide images (aspect > 1.9) crop badly as fullbleed; use editorial or framed.

Licensing of what you make

Everything is sourced from Wikimedia Commons (Public Domain / CC). Credit your sources — CC-BY and CC-BY-SA require attribution when you publish. The closing scene and the generated description both carry credits; keep them.

License

MIT

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
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
Qdrant Server

Qdrant Server

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

Official
Featured