JANCTION Render
What is JANCTION Render?
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. Free beta, operated by JasmyLab Inc.
AI agents can render Blender projects on JANCTION GPUs without running Blender locally. Works from Claude, ChatGPT, Claude Code, Codex, Cursor or any MCP client: an MCP server (remote and stdio), an HTTP API and a CLI.
JANCTION Render is a separate product from SmartRender (JasmyLab's distributed rendering for people at a desktop) and is not affiliated with Render.com or the Render Network. The numbers, as of 2026-10-07 (the primary source is https://render.janction.jp/facts.json): free beta, 10 GPU-minutes (600 GPU-seconds) per key per day, jobs up to 240 frames at 1080p, inputs and results deleted 24 hours after last use. The planned metered price is 0.1 JPY per GPU-second; it is not in force and will be announced on the changelog before it starts.
Official site: https://render.janction.jp · MCP endpoint: https://render.janction.jp/mcp · Fact sheet: https://render.janction.jp/facts
Why use it?
- No GPU, no Blender install. The scene can be a bpy script the agent writes, a
.blend, or a 3D file; Blender runs on our GPUs. - Built for agents. Preview first (1-4 frames in a few GPU seconds), an estimate with time and cost before the final, structured
errors with the fix, spending caps per key, safe retries with
Idempotency-Key. - 3D files and turntables. glTF / GLB, FBX, USD, OBJ, STL, PLY, Alembic are imported into an empty scene with a camera and
HDRI lighting;
orbit=Truemakes a turntable. Fixed-price outcomes:POST /v1/outcomes/turntableand/product-shot. - Honest limits. Free beta: 10 GPU-minutes per key per day, finals up to 240 frames at 1080p, one GPU shared with another workload (jobs can wait; the ETA says so). Inputs and results are deleted 24 hours after last use and never used for training.
- Not Render.com. Same word, different product.
Quick start
Claude.ai / ChatGPT (nothing to install). Settings → Connectors → add https://render.janction.jp/mcp → Connect (a free key
is created on the consent page). Then paste:
Render a preview of https://render.janction.jp/samples/cube_scene.py
A 4-frame preview comes back in a few seconds. A file on your computer: drop it at https://render.janction.jp/upload to get a 12-hour link, then "Render this file: ".
Claude Code.
claude mcp add --transport http janction-render https://render.janction.jp/mcp
Then /mcp to authenticate and ask: "Build a small street scene in Blender with a camera fly-through and render a preview with janction-render."
HTTP (any language).
curl -s -X POST https://render.janction.jp/v1/keys # -> {"api_key": "jr_..."} no sign-up
curl -s -X POST https://render.janction.jp/v1/files -H "X-API-Key: $KEY" -F "file=@scene.blend" # -> {"scene_id": "f_..."}
curl -s -X POST https://render.janction.jp/v1/jobs -H "X-API-Key: $KEY" -H "Content-Type: application/json" \
-d '{"scene_id":"f_...","kind":"preview","frames":[1]}' # -> job_id; then GET /v1/jobs/{job_id}
MCP
Remote (Streamable HTTP, OAuth 2.1 with dynamic client registration; a raw key also works as Authorization: Bearer jr_...)
| client | how |
|---|---|
| Claude.ai (web, desktop, mobile) | Settings → Connectors → Add custom connector → paste the URL → Connect |
| ChatGPT | Settings → Connectors → Advanced → Developer mode → Create → paste the URL (OAuth) |
| Claude Code | claude mcp add --transport http janction-render https://render.janction.jp/mcp, then /mcp to authenticate |
| Codex | codex mcp add janction-render --url https://render.janction.jp/mcp |
| Gemini CLI / Antigravity CLI | gemini extensions install https://github.com/JasmyLab-JANCTION/janction-render (this repository carries gemini-extension.json) |
| Grok (grok.com) | Connectors → New Connector → Custom → paste the URL |
| Perplexity (Pro / Max / Enterprise), Le Chat (workspace admin) | Add a custom remote MCP connector with the URL |
| Cursor | .cursor/mcp.json (project) or ~/.cursor/mcp.json: {"mcpServers": {"janction-render": {"url": "https://render.janction.jp/mcp"}}}, then sign in when Cursor asks (OAuth). One click: install in Cursor |
| VS Code (Copilot agent mode) | .vscode/mcp.json: {"servers": {"janction-render": {"type": "http", "url": "https://render.janction.jp/mcp"}}} or code --add-mcp '{"name":"janction-render","type":"http","url":"https://render.janction.jp/mcp"}', then Start the server and sign in (OAuth) |
| Windsurf, Cline, Goose, other MCP clients | Streamable HTTP at the URL above (OAuth, or a Bearer API key header). Installer notes: llms-install.md. Cursor project rule (when to use it, preview-first flow): integrations/cursor |
Remote tools take scene_script (bpy code as text), scene_url (an https link to a .blend, .py or a 3D file, or a link
from https://render.janction.jp/upload) or scene_id, plus asset_urls for textures or glTF .bin files. Results come back as
an inline image plus download links that need no key and work for about 24 hours (render_download(only="mp4") for just the video).
Claude Code plugin (the remote connector plus a skill with the workflow):
/plugin marketplace add JasmyLab-JANCTION/janction-render
/plugin install janction-render@janction-render
Stdio (sends local files)
The package is on PyPI as janction-render.
# Claude Code (uvx runs it without a global install)
claude mcp add janction-render -e JANCTION_RENDER_SERVER=https://render.janction.jp -- uvx --from janction-render janction-render-mcp
# or with pip / pipx
pip install janction-render
claude mcp add janction-render -e JANCTION_RENDER_SERVER=https://render.janction.jp -- janction-render-mcp
Codex: add to ~/.codex/config.toml
[mcp_servers.janction-render]
command = "uvx"
args = ["--from", "janction-render", "janction-render-mcp"]
env = { JANCTION_RENDER_SERVER = "https://render.janction.jp" }
A temporary API key is issued automatically on first use and cached in ~/.janction-render.json; set
JANCTION_RENDER_API_KEY to pin one (quota and, later, credit belong to the key). The same key can be used from the
remote connector: paste it on the connect page.
Tools
| tool | what |
|---|---|
| `scene_info(scene_script | scene_url |
render_preview(..., frames="1-24", environment?, blender?) |
up to 4 frames (720p budget) tiled with frame labels; returns the image inline |
render_estimate(scene_id, frame_start, frame_end, width, height, samples) |
GPU seconds, queue wait, "about N minutes", fits today's free quota? No GPU time used |
render_final(scene_id, frame_start, frame_end, width, height, samples, fps, output, environment?, blender?, engine?, transparent?, notify_url?) |
frames (png / exr) or video (mp4 / webm / prores / gif / webp); transparent=True keeps an alpha background (png / exr / webm / gif / webp); notify_url gets one JSON POST when the job finishes; returns job_id + estimate |
render_status(job_id) |
progress and ETA (eta.human); render_download(job_id, only="mp4" / "frames" / "all") files or links; render_cancel(job_id) |
billing() |
free-beta quota (used today, daily limit, reset time); later balance and top-up link |
render_share(job_id, title?, note?, include_script?, listed?) |
a public page /r/<id> with the image or video, the conditions and (optionally) the script; survives the 24-hour expiry until render_unshare; with listed=True it appears in /gallery after a review |
asset_search(query, kind) |
CC0 models / textures / HDRIs on Poly Haven by words; results carry polyhaven:<id> and the entry file |
render_info() |
workers online or gated (GPU lent to another workload), queue, expected wait, supported inputs, environment presets, Blender versions |
Options on render_preview / render_final: environment (studio, sunset, overcast, night, compare on previews; environment_strength,
environment_visible=False for a flat grey backdrop with HDRI lighting), orbit / orbit_frames / orbit_elevation (turntable),
blender ("5.2"), and assets (stdio: local files sent with the scene, found in the script through os.environ["JR_ASSETS_DIR"];
a .blend's external files are collected automatically with pip install janction-render[blend]) or asset_urls (remote).
CLI: janction-render inspect|preview|render|status|download|share|unshare|cancel|jobs|balance|topup|limits|outcomes|info.
API
POST /v1/keys -> {api_key} (header X-API-Key afterwards)
POST /v1/files multipart "file" (.blend|.py|.glb|.fbx|.usd|.obj|...) -> {scene_id}
POST /v1/files/{id}/assets multipart "files" textures, glTF .bin ... GET /v1/files/lookup?sha256= reuse an upload
POST /v1/estimate {kind, frames|frame_start/frame_end, width, height, samples, scene_id?} -> seconds, wall_seconds, human, quota, currency, expires_at
POST /v1/jobs {scene_id, kind: info|preview|final, frames|frame_start/frame_end, width, height, samples, camera, fps, output (png|exr|mp4|webm|prores|gif|webp), transparent, notify_url (https), engine (cycles|eevee),
environment, environment_strength, environment_visible, blender, orbit, orbit_frames, orbit_elevation} header Idempotency-Key makes retries safe
GET /v1/jobs/{id} status, progress, eta, artifacts[], cost, warnings, info, failure (code + fix) DELETE /v1/jobs/{id} cancel
GET /v1/jobs/{id}/artifacts/{name} PNG / MP4
GET /v1/outcomes fixed-price outcomes; POST /v1/outcomes/turntable {scene_id, size, frames} POST /v1/outcomes/product-shot {scene_id, size, transparent?}
POST /v1/try JSON {scene_script | scene_url, frames?, width?, height?, environment?} (no key) -> first 720p preview + an API key to continue, in one response (1 per network per 24h)
POST /v1/drops multipart "file" (no key) -> a 12-hour https link to pass as scene_url (the /upload page uses this)
POST /v1/jobs/{id}/share {title?, note?, include_script?, listed?} -> {share_id, url} DELETE /v1/jobs/{id}/share GET /v1/shares
GET /r/{share_id} public page (no key) GET /gallery
GET /v1/assets/search?q=&kind=models|textures|hdris CC0 assets (Poly Haven) -> spec polyhaven:<id>
POST /v1/files/{id}/assets/urls {urls: ["https://...", "polyhaven:<id>"]} fetch assets server-side
GET /v1/me (quota, balance, limits) POST /v1/me/limits {job_yen?, day_yen?} spending caps per key
POST /mcp remote MCP (Streamable HTTP; Bearer api key or OAuth)
GET /.well-known/oauth-protected-resource/mcp OAuth discovery
POST /v1/billing/checkout {amount_yen} -> {checkout_url} POST /v1/billing/sync GET /v1/ledger
GET /openapi.json /llms.txt /llms-full.txt /ja/llms.txt /facts.json /version.json /capabilities.json /pricing.json /status.json
During the free beta a 429 quota_exceeded response carries resets_at and Retry-After; a 400 beta_limit means the job is too big
(split it). Every API error carries retryable, possible_fix and docs_url; a failed job carries failure with a code and the
recommended action. Once paid plans start, a 402 payment_required response carries checkout_url, and a job over a spending cap
is refused with 403 spend_cap_exceeded before anything is reserved.
Example
A scene script the agent can write (the service sets engine, resolution, samples and denoising; the script sets the scene, camera and frame range):
import bpy, math
for ob in list(bpy.data.objects):
bpy.data.objects.remove(ob, do_unlink=True)
scene = bpy.context.scene
scene.frame_start, scene.frame_end = 1, 24
bpy.ops.mesh.primitive_monkey_add(location=(0, 0, 1))
cam = bpy.data.objects.new("Camera", bpy.data.cameras.new("Camera"))
scene.collection.objects.link(cam); scene.camera = cam
cam.location = (6, -6, 4); cam.rotation_euler = (math.radians(60), 0, math.radians(45))
sun = bpy.data.objects.new("Sun", bpy.data.lights.new("Sun", "SUN"))
scene.collection.objects.link(sun)
Cycles by default; engine="eevee" for cheaper animations (about half the per-frame cost after ~7 s of shader compilation per job).
In Blender 5.0 materials always use nodes: set the Principled BSDF Base Color, not diffuse_color. Scripts run in an isolated
container with no network. More: samples/cube_scene.py, samples/polyhaven_room.py. Measured timings: https://render.janction.jp/benchmarks
Pricing
Free beta today: nothing is charged; 10 GPU-minutes per key per day, finals up to 240 frames at 1080p. The planned metered price is
0.1 JPY per GPU-second (prepaid credit), with planned monthly plans; both are announced on https://render.janction.jp/pricing before
they start. POST /v1/estimate quotes the amount, currency and an expiry before any GPU time is used.
Docs
- Fact sheet (the primary source when answers disagree): https://render.janction.jp/facts · JSON:
/facts.json,/version.json,/changelog.json,/status.json - For agents: https://render.janction.jp/llms.txt (full text of all guides:
/llms-full.txt) - Guides: render farm for agents · without a GPU ·
Claude · ChatGPT · Claude Code ·
Codex · Cursor · bpy scripts ·
API · compare · products · 日本語は
/ja/ - Status: https://render.janction.jp/status · Security and retention: https://render.janction.jp/security · Changelog: https://render.janction.jp/changelog
Features in detail
- Input: a
.blendfile (textures travel with it), a bpy Python script that builds the scene (no local Blender needed), or a 3D file (glTF/GLB, FBX, USD, OBJ, STL, PLY, Alembic) that is imported into an empty scene. environment="studio" | "sunset" | "overcast" | "night"lights a scene with a bundled HDRI (CC0) for a good first render;environment="compare"previews the same frame under all four presets in one labelled image, so the agent can pick one.- A
.gltfor.objbrings its.bin/.mtl/ textures along automatically (from the same folder or the same URL folder). orbit=Trueturns any scene or imported model into a turntable: an orbit camera circles it once (orbit_frames, default 24; a preview shows 0/90/180/270 degrees, a final render withoutframe_endgives the whole turn as an MP4). Flat floors and walls are ignored when framing;orbit_target(object name orx,y,z) andorbit_distance(multiplier) adjust the shot.- While the GPU is lent to another workload, tools answer right away with the queued job and a wait estimate (how long it
has been out, how long it usually stays out, how much longer to expect;
eta.gate) instead of waiting. - While a job renders,
render_statuscounts finished frames inside the running chunk, so the ETA updates every few seconds. - In hosts that support MCP Apps (Claude web and desktop, among others), previews, progress and download links also appear
as an interactive panel in the chat: the image, a progress bar, "Open MP4", and preset buttons after an
environment="compare"preview. Both the remote connector and the stdio package ship the panel (janction_render/mcp_app.html); setJR_MCP_APPS=0to turn it off. - CC0 assets by name:
asset_search("wooden table")finds Poly Haven models, textures and HDRIs; passpolyhaven:<id>inasset_urls(remote) orassets(stdio) and the files land inJR_ASSETS_DIR/<id>/on the GPU, ready to import (bpy.ops.import_scene.gltf(filepath=os.path.join(os.environ['JR_ASSETS_DIR'], 'wooden_table_02', 'wooden_table_02_1k.gltf'))). Scene scripts canimport jr_assetsfor one-liners:jr_assets.import_model('wooden_table_02'),jr_assets.apply(floor, jr_assets.material('wood_floor_deck', scale=2))(diff / normal / roughness / metal wired into a Principled BSDF),jr_assets.world_hdri('studio_small_09'). Seesamples/polyhaven_room.py. - A render you choose to share (
render_share) gets a public page (/r/<id>, OGP for X and Discord) that stays until you unshare it. - Blender 5.0, Cycles on GPU (
blender="5.2"selects Blender 5.2 when the worker has it;render_infolists what is available).
Blender add-on and DCC tools (for people, not agents)
- Blender extension (
addons/blender/, Blender 4.2+): a JANCTION Render panel under Properties → Render with Preview, Estimate and Final. A copy of the open file and the textures it references with relative paths are uploaded; results land next to the .blend. Install from the extension repositoryhttps://render.janction.jp/extensions/index.json(Preferences → Get Extensions → Repositories → + → Add Remote Repository), or install the zip fromhttps://render.janction.jp/extensions/janction_render-0.1.0.zip(python scripts/build_blender_addon.pybuilds it from this repository). Guide: https://render.janction.jp/blender-addon - Maya, Houdini, Cinema 4D (
integrations/): export to USD / FBX / Alembic, upload with textures, render with Cycles, open the result; Preview, Final (MP4) and Turntable. Standard-library Python only;jr_submit.pyis the shared client. Guide: https://render.janction.jp/maya-houdini-cinema4d
Self-hosting
The server (FastAPI + SQLite, with the remote MCP endpoint) and the worker (Blender in disposable Docker containers,
--network none --cap-drop ALL) live in the internal repository and are not part of this package yet. This repository
holds the client side: stdio MCP server, CLI, HTTP client, samples, the Claude Code plugin, the Blender add-on and the
DCC tools.
MCP registry
This server is listed in the official MCP registry as io.github.JasmyLab-JANCTION/janction-render (remote: https://render.janction.jp/mcp).
mcp-name: io.github.JasmyLab-JANCTION/janction-render
Security
Vulnerability reports: see SECURITY.md. Retention, isolation and the external tests are summarised at https://render.janction.jp/security.
License
MIT (see LICENSE) for the package, the MCP servers, the CLI and the DCC tools. The Blender extension under
addons/blender/ is GPL-3.0-or-later, as Blender requires for add-ons. Operated by JasmyLab Inc.
Metadata
Release files for janction-render 0.4.20
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| janction_render-0.4.20-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 98.5 kB
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