Render Blender scenes from ChatGPT

Updated 2026-10-02

In ChatGPT, add https://render.janction.jp/mcp as a connector (Settings → Connectors → Advanced → Developer mode → Create). Then describe a scene: ChatGPT writes the bpy script, JANCTION Render previews it on a GPU in a few seconds and renders the final MP4. Free beta, no sign-up. A ChatGPT / Codex plugin is also submitted (in review as of 2026-10-02).

Setup (about one minute)

  1. ChatGPT → Settings → Connectors → Advanced → turn on Developer mode.
  2. Create → name "JANCTION Render" → MCP server URL https://render.janction.jp/mcp → authentication OAuth → Create.
  3. Press Connect. A consent page opens and creates a free API key for you (no account).
  4. In a new chat, enable the connector and ask.

Developer mode is not available on every ChatGPT plan; the plugin (in review) will make this a one-click install. Codex users can use codex mcp add instead.

Prompt to try

Using JANCTION Render, build a glossy red cube rotating on a grey floor and show me a 4-frame preview.
If it looks right, render 24 frames at 1280x720 as an MP4.

What ChatGPT does

  1. scene_info reads the scene without rendering: cameras, frame range, objects, missing files.
  2. render_preview renders 1-4 frames at 720p in a few GPU seconds and returns the image, so the agent can look, fix the script and try again.
  3. render_estimate says how long the final render takes ("about 3 minutes") and whether it fits today's free quota.
  4. render_final renders the frames on GPUs and joins them into an MP4; render_status reports the remaining time; render_download returns the files or links.
A 4-frame preview rendered by JANCTION Render (a rotating red cube)
The 4-frame preview Claude.ai got from that prompt: 4 GPU seconds. The 24-frame 720p MP4 that followed took 58 GPU seconds (2026-10-01, RTX PRO 6000).

How long it takes

jobGPU timenote
preview, 4 frames (720p split in 4 tiles, 16 samples, denoised)about 4 sround trip about 8 s; the image comes back inline
final, 24 frames at 1280x720, 64 samples → MP4about 60 smeasured 2026-09-30 / 10-01 (59 s and 58 s)
final, one 1920x1080 frame at 128 samplesabout 11 sthe estimator's baseline; heavy scenes take longer

render_estimate gives the number before rendering; once a scene has been rendered once, the estimate uses that scene's own measurement.

Free limits

Free beta (as of 2026-10-02): 10 GPU-minutes per key per day (20 per network), final renders up to 240 frames at 1080p. No sign-up: connecting creates a key. Inputs and results are deleted 24 hours after last use and never used for training. Paid plans will be announced on this site and in llms.txt before they start.

Why not render on my own machine?

ChatGPT cannot run Blender on your computer, and even a local Blender needs a GPU for Cycles to be fast. With the connector, the scene is written as a bpy script, sent to a datacenter GPU, and the image comes back into the conversation. Nothing is installed locally.

FAQ

Which ChatGPT plans can add custom MCP connectors?

Developer mode is available on paid plans; check OpenAI's current help page. The plugin submission (in review) is meant to remove this step.

Can ChatGPT render a .blend file I have?

Put it on an https URL (a cloud drive link that serves the file directly) and pass it as scene_url, or use Codex / Claude Code with the stdio server to send local files.

Does it cost anything?

No, during the free beta: 10 GPU-minutes per key per day. Paid plans will be announced on this site first.

Related

Overview · llms.txt

JANCTION Render v0.3.2 · JasmyLab Inc. · 日本語