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JSON2Video

JSON2Video

Remote
json2video.comMedia & Design1Updated today

About JSON2Video

JSON2Video provides an MCP server for agents that create videos through its video API. It supports reusable templates, media uploads, voiceovers, subtitles, and cloud rendering, returning a URL for the finished video.

Key features

  1. 01Render videos from JSON or templates
  2. 02Create and inspect reusable templates
  3. 03Validate movie JSON before rendering
  4. 04Upload and manage media files
  5. 05Check render status and account credits

Use cases

  1. 01Produce product videos with voiceovers and subtitles
  2. 02Render a template for multiple property listings
  3. 03Create recurring news shorts from a template
  4. 04Add a logo as a video watermark

MCP support

The local stdio MCP server runs from the @json2video/cli package and sends requests to the JSON2Video API using an API key. It exposes video rendering, template, media, account, and documentation tools to MCP clients.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.json2video.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Packages
npm@json2video/cli1.1.5

Tools

14
ParameterTypeRequiredDescription
waitbooleanNoWait for render to complete (default: true)
moviestringNoComplete movie JSON as a string (will be parsed). Include scenes, elements, resolution, etc.
variablesstringNoTemplate variables as JSON string
template_idstringNoTemplate ID (alternative to movie)

Details

From the project README

JSON2Video MCP Server

JSON2Video

Official Model Context Protocol server for JSON2Video, the video API for automated video production at scale.

Connect your AI agent (Claude, Cursor, VS Code, Windsurf, Cline…) to JSON2Video and let it produce finished MP4 videos: build a video from reusable templates, add AI voiceovers, subtitles, AI-generated images and video, render it in the cloud and get back a URL you can publish.

Built and maintained by the JSON2Video team. The server ships inside the @json2video/cli npm package and runs locally over stdio.

Listed in the official MCP Registry as com.json2video/mcp.

What you can do

  • "Make a 30-second vertical video about our new product with a voiceover and subtitles."
  • "Render my Real estate listing template for each of these 10 properties."
  • "Create a template for daily news shorts, then render today's three stories."
  • "Upload this logo and add it as a watermark to the video."
  • "How many credits do I have left?"

Requirements

Installation

Claude Code (plugin)

Install the plugin from this repository. Claude Code asks for your API key and stores it securely:

/plugin install json2video --marketplace JSON2Video/json2video-mcp

On older Claude Code versions, run /plugin marketplace add JSON2Video/json2video-mcp first, then /plugin install json2video@json2video.

Claude Code (manual)

The quickest way, from your project folder:

npm install -g @json2video/cli
json2video auth --api-key YOUR_API_KEY
json2video mcp install claude

This adds the server to the project's .mcp.json and installs the create-video skill. Use cursor or vscode instead of claude for those editors. Or add it by hand:

claude mcp add json2video --env JSON2VIDEO_API_KEY=YOUR_API_KEY -- npx -y @json2video/cli mcp run
Claude Desktop, Cursor, Windsurf and other clients

Add this to your client's MCP configuration file (claude_desktop_config.json, ~/.cursor/mcp.json, ~/.codeium/windsurf/mcp_config.json…):

{
  "mcpServers": {
    "json2video": {
      "command": "npx",
      "args": ["-y", "@json2video/cli", "mcp", "run"],
      "env": {
        "JSON2VIDEO_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}
VS Code

Add this to .vscode/mcp.json:

{
  "servers": {
    "json2video": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@json2video/cli", "mcp", "run"],
      "env": {
        "JSON2VIDEO_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Restart your client after saving. Full instructions for every editor: MCP server documentation.

Tools

ToolWhat it does
render_videoRender a video from a movie JSON or from a template with variables. Returns the video URL.
check_statusCheck the rendering status of a video project.
validate_movieValidate a movie JSON without rendering it.
list_templatesList the templates in your account.
list_featured_templatesList the templates in the public template library.
get_templateGet a template's variables or its full source.
save_templateSave a movie JSON as a reusable template.
get_exampleGet an example movie JSON.
get_helpGet help on the movie JSON syntax, elements and transitions.
get_accountGet account information and remaining credits.
media_listList files in your media storage.
media_getGet a file's details and download URL.
media_uploadUpload a file from a local path or a public URL.
media_deleteDelete a file from your media storage.

What runs on your machine

The plugin and the configs above run npx -y @json2video/cli mcp run. npx downloads the published @json2video/cli package from npm and starts the MCP server locally over stdio. The server sends your requests (movie JSON, template variables, media files you choose to upload) to the JSON2Video API at api.json2video.com, authenticated with your API key. To answer help and example requests it also downloads public reference files (documentation, examples, voice and music lists) from cdn.json2video.com and JSON2Video's public S3 buckets. It sends no data to any other service.

Configuration

Environment variableRequiredDescription
JSON2VIDEO_API_KEYYesYour JSON2Video API key.
JSON2VIDEO_TIMEOUTNoMaximum time to wait for a render, in seconds (default 240).

Renders use the credits of your JSON2Video account. Free accounts include credits to try it out; see pricing.

Resources

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.