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Scenemodel

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/scenemodel

Install

Overview

Description from the maker (original English)

Drive Blender scenes: scene and object info, code execution, assets and 3D generation.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "scenemodel": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/scenemodel",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add scenemodel -- npx -y @reneturcios/scenemodel mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "scenemodel": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/scenemodel",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "scenemodel": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/scenemodel",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2186 servers in this category
  • Published to the registry more recently than 86% of the other 2186 servers in this category
  • Basic checks equal to or better than 100% of the other 2186 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Scenemodel safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 5 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago
Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
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Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

scenemodel

scenemodel is a small MCP server and CLI for driving a Blender scene from an agent. It is a clean-room rebuild of a core subset — eight tools — from the documented surface of ahujasid/blender-mcp: scene and object info, arbitrary Blender Python execution, viewport screenshots, PolyHaven category browsing, search and download, and Hunyuan3D model generation.

The transport is the original's, unchanged: Blender runs an addon that listens on a TCP socket (default localhost:9876) and exchanges JSON commands of the shape {type, params} for JSON responses. scenemodel implements exactly that protocol behind an injectable socket function — one connection, one JSON request, one JSON response per call — with the host and port taken from BLENDER_HOST / BLENDER_PORT. When nothing is listening, calls fail honestly with the underlying connection error (ECONNREFUSED); scenemodel never invents scene data.

One documented gap: upstream, the screenshot tool returns image content. scenemodel returns an artifact summary instead — the image format plus its byte and base64 lengths — and never the image content block itself.

Deliberately omitted: the Hyper3D (Rodin) generation tools and their status checks, Hunyuan job status/polling beyond the generate call, the dedicated set_texture tool (texture setting stays reachable through asset download and code execution, as in the original), telemetry/user-id tools, and viewport scene manipulation beyond execute_blender_code.

The published container image bundles no Blender binary: the addon runs inside the user's own Blender install, so the image expects to reach a host Blender socket and says so in its Dockerfile.

Install

npx @reneturcios/scenemodel get-scene-info

docker run -i ghcr.io/cloudcorprecords/scenemodel

Start Blender with the blender-mcp addon enabled first; it listens on localhost:9876 by default.

CLI

scenemodel get-scene-info

scenemodel get-object-info scenemodel execute-blender-code "import bpy; print(bpy.context.scene.name)" scenemodel get-viewport-screenshot [--max-size 1024] scenemodel get-polyhaven-categories [asset_type] scenemodel search-polyhaven-assets [asset_type] [categories] scenemodel download-polyhaven-asset [--resolution 2k] [--format gltf] scenemodel generate-hunyuan3d-model --text "a wooden chair" scenemodel --version

Exit codes: 0 success, 1 addon/socket error, 2 usage error.

MCP server

npx -y @reneturcios/scenemodel mcp
{

"mcpServers": { "scenemodel": { "command": "npx", "args": ["-y", "@reneturcios/scenemodel", "mcp"], "env": { "BLENDER_HOST": "localhost", "BLENDER_PORT": "9876" } } } }

The env block is optional; the defaults are shown.

Tools
ToolInputAddon command
get_scene_info—get_scene_info
get_object_infoobject_name (required)get_object_info
execute_blender_codecode (required)execute_code
get_viewport_screenshotmax_size (optional)get_viewport_screenshot — returns a format/length summary, not image content
get_polyhaven_categoriesasset_type (optional)get_polyhaven_categories
search_polyhaven_assetsasset_type, categories (optional)search_polyhaven_assets
download_polyhaven_assetasset_id, asset_type (required), resolution, file_formatdownload_polyhaven_asset
generate_hunyuan3d_modeltext_prompt, input_image_url (one required)generate_hunyuan3d_model

Addon error envelopes and socket failures — a refused connection, a timeout, a malformed response — are reported as tool errors carrying the underlying message.

Development

npm install

npm run build npm test npm run dev

Tests run entirely on a fake socket function: command shaping, response unwrapping, screenshot summarisation, and error propagation. No live Blender instance is touched.

License

MIT — see LICENSE.

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