JsonCut
CHATGPT + MCP

Create images and video
from a ChatGPT conversation.

Connect the JsonCut MCP server so ChatGPT can create projects, use uploaded files, inspect frames, fill templates and render results.

Asteri — Cinematic AI Assistant — editable JsonCut video example
Editable Video · 1920 × 1080 · 16:9Asteri — Cinematic AI Assistant
01Create from scratch02Patch projects03Review frames
WHAT IT IS

JsonCut MCP gives compatible ChatGPT clients a focused V2 tool surface for iterative image and video authoring.

THE CONNECTION

Connect JsonCut.
Render and deliver.

01Connect JsonCutCreate from scratch
02Map data and mediaPatch projects
03Render and deliverReview frames
CONNECTED FLOW

Connect JsonCut.
Render and deliver.

1

Connect JsonCut

Authenticate the integration and choose a project or versioned template.

2

Map data and media

Inspect the input contract, upload files and map only the values the design expects.

3

Render and deliver

Start a job, observe its status and pass the finished output to the next step.

WHAT IT UNLOCKS

A focused connection, not another disconnected tool.

Use chatgpt + mcp where it helps and keep the visual source understandable in Studio.

01

Keep long work structured

The agent can build scene by scene and patch only the relevant part of a long video.

02

Review what it created

Image snapshots and multi-frame video grids let the agent inspect the visible result.

03

Use templates when faster

Search existing templates, retrieve fields and fill them without rebuilding familiar work.

USE IT FOR

Conversational campaign creation.
And the work after it.

01Conversational campaign creation
02Agent-built explainers
03Template filling and automation
QUESTIONS

Before you connect it.

01Do I need to build the visual in code?

No. Create and approve it in Studio, then expose typed fields for the integration.

02Can the workflow generate images and video?

Yes. Both project types use the same media, template and job foundations.

03How are large media files supplied?

Upload them as project media first and use the returned reference instead of embedding large base64 strings.

CONNECT THE NEXT STEP

Keep the handoff understandable.

MCP productAI assistantExamples
CONNECT · CREATE · DELIVER

Use the tools you know.
Keep control of the result.

Connect JsonCut where it belongs and keep the visual source accessible in Studio.

Start creating free