JANCTION Render

JANCTION Render is a cloud GPU render farm for Blender that AI agents call as an MCP server or HTTP API.

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What it can do

Render Preview: Show what a Blender scene looks like: a fast, low-cost preview render on a cloud GPU, back as an image in seconds. Typical requests: 'render this .blend', 'show me the scene', 'preview
Render Final: Render the final frames or video of a Blender scene on cloud GPUs, after the user approved a preview: 'render the final', 'make the video', 'export the turntable MP4', 'product shots fro
Render Download: Get the download links of a job (no key needed, valid about 24 hours) and show them to the user; in a terminal, fetch them with curl -o. A finished preview also comes back as an inlin

What data it sees

Do you need an account

No: the server works without sign-in

JANCTION Render is a cloud GPU render farm for Blender that AI agents call as an MCP server or HTTP API. Send a .blend file, a bpy script or a 3D file (glTF / FBX / USD), preview in seconds, and get frames or an MP4 back from JANCTION's NVIDIA GPUs. No local Blender or GPU is needed.

How to connect

How to connect JANCTION Render to Claude

The server address to paste into Claude settings:

https://janction-render.run.tools

Open Claude (claude.ai or the desktop app).
Go to Settings → Connectors.
Click Add custom connector.
Paste the server address copied below into Remote MCP server URL and click Add.
In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect JANCTION Render to ChatGPT

The server address to paste into ChatGPT settings:

https://janction-render.run.tools

Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
Open Settings → Connectors and click Create.
Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect JANCTION Render to Cursor

The server address to paste into Cursor settings:

https://janction-render.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (12)

Raw names from tools/list. Only developers need these.

render_preview	Show what a Blender scene looks like: a fast, low-cost preview render on a cloud GPU, back as an image in seconds. Typical requests: 'render this .blend', 'show me the scene', 'preview the turntable', 'I have no GPU', 'Blender is too slow on my laptop', 'Blenderでレンダリングして', 'GPUがない', 'ターンテーブル', '商品の360度動画'. Also use it after writing a bpy script, to see what it builds. Each preview returns a critic verdict (ok / check / fix) with fix code: apply the fixes and preview again before any final render. It also returns final_estimate (the same scene as a 1080p final) and quota_left_today; tell the user both before asking to go on. When not to use: editing a scene open in the user's Blender belongs to a local Blender MCP, and a single still on a machine with its own NVIDIA GPU usually renders faster locally. This service is for CPU-only machines, animations, and scripts with no Blender installed. Limits: up to 1280x720; 1-4 frames tiled in one labeled image for the GPU time of one 720p frame. Options are explained on each parameter: environment presets and 'compare', orbit (turntable), cameras (several named cameras), engine, transparent, asset_urls with 'polyhaven:<id>' CC0 assets. Give the scene as scene_script (bpy code as text), scene_url (an https link to a .blend, .py or 3D file) or scene_id; reuse the returned scene_id in render_final.
render_final	Render the final frames or video of a Blender scene on cloud GPUs, after the user approved a preview: 'render the final', 'make the video', 'export the turntable MP4', 'product shots from these cameras'. Call render_estimate first when the time or the free GPU time left (the welcome credit, or 2 preview GPU-minutes a day after it) is uncertain, the job is longer than about 24 frames or above 720p, or the user asks how long it takes, and tell the user. Long jobs are rendered in chunks and joined into one video. Returns job_id and estimate.human at once (short jobs return the links directly); then call render_download(job_id, wait_seconds=45). When not to use: editing a scene open in the user's Blender belongs to a local Blender MCP, and a single still on a machine with its own NVIDIA GPU usually renders faster locally. Use the same environment and blender as the approved preview. Limits: up to 240 frames and 1920x1080 per job; each new key gets 500 JPY of GPU time free (welcome credit, 14 days); after that, previews are free up to 2 GPU-minutes a day and finals cost 0.1 JPY per GPU-second (prepaid); ask the user before a render that the free time does not cover; files are deleted 24 hours after last use. Options are explained on each parameter: output (png, exr, mp4, webm, prores, gif, webp), orbit=True for a turntable MP4, cameras for one image per named camera, transparent, engine='eevee', notify_url for one POST when the job finishes, asset_urls with 'polyhaven:<id>'. Pass scene_id from render_preview, or scene_script / scene_url for a new scene.
render_download	Get the download links of a job (no key needed, valid about 24 hours) and show them to the user; in a terminal, fetch them with curl -o. A finished preview also comes back as an inline image. wait_seconds > 0 first waits for the job (the service waits at most 50 s per call; call again while it is still running). only picks the files: 'output' (default: the MP4 or the preview sheet, plus the first frames), 'mp4', 'sheet', 'frames' or 'all'.
render_status	Check a render job: status (queued / running / done / failed / canceled), frames done, the ETA (eta.human, including queue wait), files ready, Blender warnings, and the error with the log tail if it failed. Use it to report progress to the user; render_download(job_id, wait_seconds=45) waits and returns the links in one call.
scene_info	Read a Blender scene without rendering (a few seconds, no GPU time): cameras and the active one, frame range and fps, resolution, objects by type, lights, materials, whether it is animated, and missing linked files that would render pink. Use it for a .blend you did not write, or to check what a bpy script built. Returns scene_id; pass it to render_preview and render_final instead of sending the scene again.
render_estimate	Estimate a render before starting it (no GPU time): GPU seconds, queue wait, the wall-clock time as text (estimate.human, e.g. 'about 3 minutes') and whether it fits the free GPU time left (the welcome credit, or 2 preview GPU-minutes a day after it) and the size limits. Call it before render_final when the time or quota is uncertain, the job is longer than about 24 frames or above 720p, or the user asks how long it takes; tell the user the result. With scene_id the estimate uses this scene's measured render times; it also says when to split a job.
render_info	Show the JANCTION Render service state: whether GPU workers are online, queue length and expected wait, this key's usage, and how to connect from other clients. Call this if renders seem stuck or before the first render. Use it to decide whether to route a render here: workers_available > 0 means a preview comes back in seconds; gated means the GPU is lent out and 'gate' says how long the wait usually is.
asset_search	Find free CC0 3D models, PBR textures or HDRIs on Poly Haven by words ('wooden chair', 'forest hdri') to furnish a scene without uploading files; no GPU time. Each result has a spec 'polyhaven:<id>' to pass in asset_urls, its size in metres and the entry file. In the scene script: import jr_assets, then jr_assets.import_model('<id>', location=(x, y, z), scale=1.0) returns the objects, jr_assets.material('<id>') builds a material and jr_assets.apply(obj, mat) assigns it, jr_assets.world_hdri('<id>', strength=1.0) lights the world. 'polyhaven:<id>@2k' fetches 2k textures (1k by default).
render_share	Publish a finished render as a public page the user can send to anyone (X, Discord, a client): the image or video, the render conditions, an optional title and note, and the bpy script if include_script=True. The page keeps a copy of the result after the job's 24-hour expiry, until render_unshare. listed=True asks for it to appear in the public gallery (/gallery) after the operator reviews it; until then the page is not indexed by search engines. prompt: what the user asked you, in their words (shown as 'what the user asked the agent'; it makes the page useful to others). Ask the user before sharing; return the url to them.
render_unshare	Remove the public share page of a job (the copy of the result is deleted).
render_cancel	Cancel a queued or running JANCTION render job. GPU time after the cancel is not used.
billing	Check the free GPU time left and the credit: what this key can still render for free (a new key's welcome credit, or the free daily amount), when it resets or expires, plus the balance (yen), the price per GPU second and any pending checkout link. Jobs the free time covers cost nothing; beyond it only the extra GPU seconds are charged from prepaid credit. Also shows auto top-up and monthly plan status, with links the user can open to turn them on.