MCP

Generate Videos Programmatically

Programmatically generate videos with rich scene and element support using the json2video API. Supports LLMs and agents.

⚠️ This tool looks unmaintained — no upstream commits in 6+ months.

14
Spark score
out of 100
Updated May 2025
Version 1.0.0
Models

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Why it matters

Automate video creation by integrating with the json2video API. This MCP server allows LLMs and agents to programmatically generate, manage, and check the status of video projects.

Outcomes

What it gets done

01

Generate videos with rich scene and element support.

02

Check the status and retrieve results of video generation tasks.

03

Create, retrieve, and list video templates.

04

Integrate with LLMs and automation agents for seamless video production.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-json2video-mcp | bash

Capabilities

Tools your agent gets

generate_video

Create a customizable video project with scenes and elements including text, images, video, audio, and more.

get_video_status

Check the status or retrieve the result of a video generation task.

create_template

Create a new template in json2video with a given name and optional description.

get_template

Retrieve template details from json2video by its name.

list_templates

List all available templates from json2video.

Overview

JSON2Video MCP Server

What it does

The JSON2Video MCP Server is an implementation of the Model Context Protocol (MCP) that exposes video generation capabilities via the json2video API. It allows for the creation of videos with complex scenes and diverse elements like text, images, audio, and subtitles. The server supports asynchronous rendering and provides tools for status checking.

How it connects

Use this MCP server when you need to integrate programmatic video generation into AI agents, LLMs, or other MCP-compatible systems. It's ideal for automating video content creation based on dynamic data or user prompts.

Source README

json2video MCP Server

A Model Context Protocol (MCP) server implementation for programmatically generating videos using the json2video API. This server exposes powerful video generation and status-checking tools for use with LLMs, agents, or any MCP-compatible client.


Features

  • Generate videos with rich scene and element support (text, image, video, audio, components, subtitles, etc.)
  • Asynchronous video rendering with status polling
  • Flexible, extensible JSON schema for video projects
  • Designed for easy integration with LLMs, automation agents, and MCP-compatible tools
  • API key authentication (env or per-request)
  • Comprehensive error handling and logging

Installation

Running with npx

env JSON2VIDEO_API_KEY=your_api_key_here npx -y @omerrgocmen/json2video-mcp

Manual Installation

npm install -g @omerrgocmen/json2video-mcp

Windows Users

If you are on Windows and encounter issues, try:

cmd /c "set JSON2VIDEO_API_KEY=your_api_key_here && npx -y @omerrgocmen/json2video-mcp"

Running on Cursor

Cursor v0.48.6+

  1. Open Cursor Settings
  2. Go to Features > MCP Servers
  3. Click "+ Add New MCP Server"
  4. Enter the following:
    • Name: "json2video-mcp" (or your preferred name)
    • Type: "command"
    • Command: env JSON2VIDEO_API_KEY=your_api_key_here npx -y @omerrgocmen/json2video-mcp

Cursor v0.48.6+

  1. Open Cursor Settings
  2. Go to Features > MCP Servers
  3. Click "+ Add new global MCP server"
  4. Enter the following code:
    {
      "mcpServers": {
        "json2video-mcp": {
          "command": "npx",
          "args": ["-y", "@omerrgocmen/json2video-mcp"],
          "env": {
            "JSON2VIDEO_API_KEY": "your_api_key_here"
          }
        }
      }
    }
    

Replace your_api_key_here with your json2video API key. You can get an API key from json2video.com.

After adding, refresh the MCP server list to see the new tools. Your agent or LLM will automatically use json2video MCP when appropriate, or you can explicitly request it by describing your video generation needs.


MCP Integration Example

Add this to your mcp.json or similar config:

{
  "mcpServers": {
    "json2video-mcp": {
      "command": "npx",
      "args": ["-y", "@omerrgocmen/json2video-mcp"],
      "env": {
        "JSON2VIDEO_API_KEY": "your_api_key_here"
      }
    }
  }
}
  • Replace your_api_key_here with your actual json2video API key.
  • This configuration allows your agent or LLM to start and communicate with the json2video MCP server automatically.
  • The server will expose the generate_video and get_video_status tools for use in your workflows.

Configuration

Environment Variables

  • JSON2VIDEO_API_KEY (required): Your json2video API key. Can be set as an environment variable or provided per request.

Note: If you encounter a client closed error, run the following command in your terminal:

npm i @omerrgocmen/json2video-mcp

Usage

Available Tools

1. Generate Video (generate_video)

Create a customizable video project with scenes and elements.

Description:
Creates a video project using the json2video API. Each project can contain multiple scenes, and each scene can contain various elements such as text, images, video, audio, components, HTML, voice, audiogram, and subtitles. Video generation is asynchronous; use the returned project ID to check status. See https://json2video.com/docs/api/ for full schema and more examples.

Input Schema:

{
  "id": "string (optional, unique identifier for the movie)",
  "comment": "string (optional, project description)",
  "cache": true,
  "client_data": {},
  "draft": true,
  "quality": "high", // one of: low, medium, high
  "resolution": "custom", // one of: sd, hd, full-hd, squared, instagram-story, instagram-feed, twitter-landscape, twitter-portrait, custom
  "width": 1920, // required if resolution is custom
  "height": 1080, // required if resolution is custom
  "variables": {},
  "elements": [ /* global elements, see below for examples */ ],
  "scenes": [
    {
      "id": "string (optional, unique scene id)",
      "comment": "string (optional)",
      "background_color": "#000000",
      "cache": true,
      "condition": "string (optional)",
      "duration": -1,
      "variables": {},
      "elements": [ /* see element examples below */ ]
    }
  ],
  "apiKey": "string (optional)"
}

Element Types & Examples:

  • Text Element:
{
  "type": "text",
  "text": "Hello world",
  "duration": 5,
  "settings": { "font-size": "60px", "color": "#FF0000" }
}
  • Image Element:
{
  "type": "image",
  "src": "https://images.pexels.com/photos/1105666/pexels-photo-1105666.jpeg",
  "width": 1620,
  "height": 1080,
  "x": 0,
  "y": 0
}
  • Video Element:
{
  "type": "video",
  "src": "https://example.com/path/to/my/video.mp4",
  "duration": 7.3
}
  • Component Element:
{
  "type": "component",
  "component": "basic/001",
  "settings": {
    "headline": { "text": "Lorem ipsum", "color": "white" },
    "body": { "text": "Dolor sit amet" }
  }
}
  • HTML Element:
{
  "type": "html",
  "html": "<h1>Hello world</h1>",
  "width": 800,
  "height": 600
}
  • Audio Element:
{
  "type": "audio",
  "src": "https://example.com/audio.mp3",
  "duration": 5
}
  • Voice Element:
{
  "type": "voice",
  "text": "This is a voiceover.",
  "voice": "en-US-Wavenet-D"
}
  • Audiogram Element:
{
  "type": "audiogram",
  "color": "#00FF00",
  "amplitude": 5
}
  • Subtitles Element:
{
  "type": "subtitles",
  "captions": "1\n00:00:00,000 --> 00:00:02,000\nHello world!"
}

Example Input:

{
  "comment": "MyProject",
  "resolution": "full-hd",
  "scenes": [
    {
      "elements": [
        { "type": "video", "src": "https://example.com/path/to/my/video.mp4" },
        { "type": "text", "text": "Hello world", "duration": 5 },
        { "type": "image", "src": "https://images.pexels.com/photos/1105666/pexels-photo-1105666.jpeg", "width": 1620, "height": 1080, "x": 0, "y": 0 },
        { "type": "component", "component": "basic/001", "settings": { "headline": { "text": "Lorem ipsum" } } },
        { "type": "html", "html": "<h1>Hello world</h1>", "width": 800, "height": 600 },
        { "type": "audio", "src": "https://example.com/audio.mp3", "duration": 5 },
        { "type": "voice", "text": "This is a voiceover.", "voice": "en-US-Wavenet-D" },
        { "type": "audiogram", "color": "#00FF00", "amplitude": 5 },
        { "type": "subtitles", "captions": "1\n00:00:00,000 --> 00:00:02,000\nHello world!" }
      ]
    }
  ]
}

Notes for Users:

  • Each element type has its own required and optional properties. See https://json2video.com/docs/api/ for full details.
  • You can mix and match element types in scenes and globally.
  • For custom resolutions, set both width and height.
  • Use the returned project ID to check video status with get_video_status.

Output:

  • Returns a project ID to be used with get_video_status.
2. Get Video Status (get_video_status)

Check the status or retrieve the result of a video generation job.

Description:
Retrieves the status or result of a previously started video generation job. Note: Video rendering is asynchronous and may take some time. If the status is not "done", please try again later using the same project ID.

Input Schema:

{
  "project": "string (required)",
  "apiKey": "string (optional)"
}

Example Input:

{
  "project": "q663vmm2"
}

Example Output:

{
  "success": true,
  "movie": {
    "success": true,
    "status": "done",
    "message": "",
    "project": "q663vmm2",
    "url": "https://assets.json2video.com/clients/yourclient/renders/yourvideo.mp4",
    "created_at": "2025-04-27T10:44:18.880Z",
    "ended_at": "2025-04-27T10:44:28.589Z",
    "duration": 11,
    "size": 359630,
    "width": 640,
    "height": 360,
    "rendering_time": 10
  }
}
3. Create Template (create_template)

Create a new template in json2video.

Description:
Creates a new template with a given name and optional description.

Input Schema:

{
  "name": "string (required, name of the template)",
  "description": "string (optional, description of the template)",
  "apiKey": "string (optional)"
}

Example Input:

{
  "name": "MyTemplate",
  "description": "A reusable video template."
}

Output:

  • Returns the template ID if successful.
4. Get Template (get_template)

Get template details from json2video.

Description:
Retrieves details of a template by its name.

Input Schema:

{
  "name": "string (required, name of the template)",
  "apiKey": "string (optional)"
}

Example Input:

{
  "name": "MyTemplate"
}

Output:

{
    "updated_at": "YYYY-MM-DDTHH:MM:SSZ",
    "created_at": "YYYY-MM-DDTHH:MM:SSZ",
    "movie": "{\"id\":\"template1\",\"comment\":\"Example template\",\"resolution\":\"full-hd\",\"quality\":\"high\",\"scenes\":[{\"id\":\"scene1\",\"comment\":\"Scene 1\",\"elements\":[]}],\"elements\":[],\"width\":1920,\"height\":1080}",
    "name": "MyTemplate",
    "id": "MyTemplate_ID"
  }
5. List Templates (list_templates)

List all available templates from json2video.

Description:
Lists all templates available to the user.

Input Schema:

{
  "apiKey": "string (optional)"
}

Example Input:

{
}

Output:

[
  {
    "updated_at": "YYYY-MM-DDTHH:MM:SSZ",
    "created_at": "YYYY-MM-DDTHH:MM:SSZ",
    "movie": "{\"id\":\"template1\",\"comment\":\"Example template\",\"resolution\":\"full-hd\",\"quality\":\"high\",\"scenes\":[{\"id\":\"scene1\",\"comment\":\"Scene 1\",\"elements\":[]}],\"elements\":[],\"width\":1920,\"height\":1080}",
    "name": "MyTemplate1",
    "id": "TEMPLATE_ID_1"
  },
  {
    "updated_at": "YYYY-MM-DDTHH:MM:SSZ",
    "created_at": "YYYY-MM-DDTHH:MM:SSZ",
    "movie": "{\"id\":\"template2\",\"resolution\":\"instagram-story\",\"quality\":\"medium\",\"scenes\":[{\"id\":\"scene2\",\"comment\":\"Scene 2\",\"elements\":[]}],\"elements\":[],\"comment\":\"Another template\"}",
    "name": "MyTemplate2",
    "id": "TEMPLATE_ID_2"
  }
]

Discussion

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