Jsoncut MCP Server
Enables AI agents to generate JSON configurations for creating images and videos programmatically through the Jsoncut API, with support for layers, positioning, transitions, and validation.
README
[!WARNING] โ ๏ธ OUTDATED REPOSITORY - This repository is no longer maintained
A public MCP server is now available and this package is deprecated.
Please use the official public server instead: https://mcp.jsoncut.com/mcpFor more information, see: https://docs.jsoncut.com/docs/mcp/overview
<p align="center"> <img src="assets/logo.png" alt="Jsoncut Logo" width="200"/> </p>
<h1 align="center">Jsoncut MCP Server</h1>
<p align="center"> <strong>Model Context Protocol server for the Jsoncut API</strong><br> Enable AI agents to generate stunning images and videos programmatically </p>
<p align="center"> <a href="https://www.npmjs.com/package/@jsoncut/mcp-server"><img src="https://img.shields.io/npm/v/@jsoncut/mcp-server.svg" alt="npm version"></a> <a href="https://github.com/jsoncut/jsoncut-mcp-server/blob/main/LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="License"></a> </p>
๐ Features
- ๐จ Image Generation: Create JSON configurations for image composition with layers, positioning, and effects
- ๐ฌ Video Generation: Create JSON configurations for video rendering with clips, transitions, and audio
- โ Configuration Validation: Validate configs against the Jsoncut API before submission
- ๐ Schema Resources: JSON schemas automatically available as MCP resources
- ๐ Flexible Authentication: API key via environment variable or .env file
๐ฆ Quick Start
Using npx (Recommended for Local)
export JSONCUT_API_KEY=your_api_key_here
npx -y @jsoncut/mcp-server
Using Remote Server (Recommended)
A public MCP server is available at https://mcp.jsoncut.com. No installation needed - just configure your MCP client with your API key:
{
"jsoncut": {
"url": "https://mcp.jsoncut.com/mcp",
"headers": {
"x-api-key": "your_jsoncut_api_key_here"
}
}
}
Using Docker Locally (Optional)
You can also run your own local server using Docker:
# Pull and run from Docker Hub
docker run -d \
--name jsoncut-mcp \
-p 3210:3000 \
centerbit/jsoncut-mcp-server:latest
# Access at: http://localhost:3210/mcp
Or use Docker Compose:
# Start the service
docker-compose up -d
# Access at: http://localhost:3210/mcp
๐ See DOCKER.md for complete Docker deployment guide
Get Your API Key
Get your Jsoncut API key at jsoncut.com
# Set as environment variable
export JSONCUT_API_KEY=your_api_key_here
# Or create .env file
cp .env.example .env
# Edit .env and add: JSONCUT_API_KEY=your_api_key_here
๐ฏ MCP Client Configuration
Remote Server (Recommended)
Use the public server at https://mcp.jsoncut.com:
Cursor IDE
Open Cursor Settings โ Features โ MCP Servers โ "+ Add New MCP Server"
{
"jsoncut": {
"url": "https://mcp.jsoncut.com/mcp",
"headers": {
"X-API-Key": "your_jsoncut_api_key_here"
}
}
}
Claude Desktop
Add to your claude_desktop_config.json:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"jsoncut": {
"url": "https://mcp.jsoncut.com/mcp",
"headers": {
"X-API-Key": "your_jsoncut_api_key_here"
}
}
}
}
Local npx Mode
For local development without network access:
Cursor IDE
{
"jsoncut": {
"command": "npx",
"args": ["-y", "@jsoncut/mcp-server"],
"env": {
"JSONCUT_API_KEY": "your_api_key_here"
}
}
}
Claude Desktop
{
"mcpServers": {
"jsoncut": {
"command": "npx",
"args": ["-y", "@jsoncut/mcp-server"],
"env": {
"JSONCUT_API_KEY": "your_api_key_here"
}
}
}
}
Local Docker Server
If you're running your own local Docker server:
Cursor IDE
{
"jsoncut": {
"url": "http://localhost:3210/mcp",
"headers": {
"X-API-Key": "your_jsoncut_api_key_here"
}
}
}
Claude Desktop
{
"mcpServers": {
"jsoncut": {
"url": "http://localhost:3210/mcp",
"headers": {
"X-API-Key": "your_jsoncut_api_key_here"
}
}
}
}
๐ MCP Resources
The server automatically exposes JSON schemas as MCP resources:
schema://image- Complete image generation schemaschema://video- Complete video generation schema
AI agents can read these directly without tool calls for fast access to all configuration options.
๐ ๏ธ Available Tools
create_image_config
Create JSON configurations for image generation with a layer-based system.
Layer Types:
- image: Display images with fit modes (cover, contain, fill, inside, outside)
- text: Text with custom fonts, alignment, wrapping, and effects
- rectangle: Rectangular shapes with fill, stroke, and rounded corners
- circle: Circular and elliptical shapes
- gradient: Linear or radial color gradients
Positioning:
- Pixel coordinates:
{ x: 100, y: 50 } - Position strings:
center,top,bottom,top-left,top-right, etc. - Position objects:
{ x: 0.5, y: 0.5, originX: "center", originY: "center" }
Example:
{
"width": 1200,
"height": 630,
"layers": [
{
"type": "gradient",
"x": 0, "y": 0, "width": 1200, "height": 630,
"gradient": {
"type": "linear",
"colors": ["#667eea", "#764ba2"],
"direction": "diagonal"
}
},
{
"type": "text",
"text": "Welcome to Jsoncut",
"position": "center",
"fontSize": 64,
"color": "#ffffff"
}
]
}
create_video_config
Create JSON configurations for video generation with clips, layers, and transitions.
Key Features:
- Clips: Sequential video segments with individual layers
- Layer Types: video, image, title, subtitle, news-title, audio, gradients, and more
- Transitions: 75+ effects (fade, wipe, circle, cube, glitch, zoom, etc.)
- Audio: Background music, multiple tracks, normalization, and ducking
Example:
{
"width": 1920,
"height": 1080,
"fps": 30,
"defaults": {
"duration": 3,
"transition": { "name": "fade", "duration": 1 }
},
"clips": [
{
"layers": [
{ "type": "title", "text": "Welcome", "position": "center" }
]
}
]
}
validate_config
Validate configurations against the Jsoncut API before submission.
Parameters:
type: "image" or "video"config: Configuration object to validateapiKey: Optional API key (uses environment if not provided)
Returns:
- Validation status
- Estimated token cost
- Error details (if any)
- Detected resources with sizes
get_image_schema / get_video_schema
Get complete JSON schemas for image or video generation.
Note: Schemas are also available as MCP resources (schema://image and schema://video) which AI agents can access directly without tool calls.
๐ Workflow
- Create Configuration: Use
create_image_configorcreate_video_config - Validate (optional): Call
validate_configif you have actual file paths - Submit: Use the configuration with the Jsoncut API
The schemas are automatically available as MCP resources, so AI agents have instant access to all configuration options.
๐ File Paths
Use placeholder paths in configurations:
/image/2024-01-15/userXXX/photo.jpg
/video/2024-01-15/userXXX/video.mp4
/audio/2024-01-15/userXXX/music.mp3
/font/2024-01-15/userXXX/CustomFont.ttf
Supported formats:
- Images: png, jpg, jpeg, gif, webp
- Videos: mp4, mov, avi, webm
- Audio: mp3, wav, m4a, aac
- Fonts: ttf, otf, woff, woff2
๐งช Testing
Use the MCP Inspector for interactive testing:
export JSONCUT_API_KEY=your_api_key_here
npm run inspector
๐ง Development
Local Development
# Clone and install
git clone https://github.com/jsoncut/jsoncut-mcp-server.git
cd jsoncut-mcp-server
npm install
# Build
npm run build
# Watch mode
npm run watch
# Run locally
node dist/index.js
Configuration with Local Build
For Cursor/Claude Desktop, use the local build:
{
"jsoncut": {
"command": "node",
"args": ["/absolute/path/to/jsoncut-mcp-server/dist/index.js"],
"env": {
"JSONCUT_API_KEY": "your_api_key_here"
}
}
}
๐ Examples
See the examples/ directory for complete configurations:
image-example.json- Image generation with multiple layer typesvideo-example.json- Video generation with clips and transitions
๐ค Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
๐ License
MIT License - see LICENSE file for details.
๐ Links
- API Documentation: docs.jsoncut.com
- Website: jsoncut.com
- GitHub: github.com/jsoncut/jsoncut-mcp-server
- npm: @jsoncut/mcp-server
- Support: support@jsoncut.com
<p align="center"> Built with the <a href="https://github.com/modelcontextprotocol">Model Context Protocol SDK</a> by Anthropic </p>
<p align="center"> Made with โค๏ธ by the Jsoncut Team </p>
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.