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PopNx MCPMCP servers for people who use AI · explained in plain words

Vectreal

by Vectrealversion 3.1.0i★ –iRuns on your computer
Registry nameio.github.Vectreal/vectreal

Install

Overview

Description from the maker (original English)

Upload, publish and embed 3D models on any website from your agent.

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": {
    "vectreal": {
      "command": "npx",
      "args": [
        "-y",
        "@vctrl/cli",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add vectreal -- npx -y @vctrl/cli mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "vectreal": {
      "command": "npx",
      "args": [
        "-y",
        "@vctrl/cli",
        "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": {
    "vectreal": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@vctrl/cli",
        "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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Vectreal, 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 2175 servers in this category
  • Published to the registry more recently than 78% of the other 2175 servers in this category
  • Basic checks equal to or better than 100% of the other 2175 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 Vectreal 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 (3.1.0) reached the registry 9 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 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
Install

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.

@vctrl/cli

The Vectreal command line: sign in once, then let a terminal or an agent act for you in the organization you chose.

Run it with npx, or install it globally to get the vectreal command:

npx -y @vctrl/cli login
npm install -g @vctrl/cli

Setup for Claude Code, Cursor and VS Code is in the agents docs.

Commands

CommandWhat it does
vectreal login [--origin ] [--no-browser]Signs in through the browser and keeps the session in the OS keychain. Remembers the origin for later commands.
vectreal whoami [--json]Shows the user, organization, role and scopes the session acts as.
`vectreal init [--project \--create ]`Links the current directory to a project by writing .vectreal/project.json.
vectreal logoutEnds the session on the server and forgets it here.
vectreal mcpServes the Vectreal tools to an agent over stdio (MCP) until the agent closes the stream.
vectreal mcp install [--origin ]Registers that server in the current directory's .mcp.json, launched the way this CLI was.

The origin is --origin, then VECTREAL_ORIGIN, then the last one signed in to, then https://vectreal.com. Plain http is allowed on localhost only.

The MCP server

vectreal mcp gives an agent these tools:

ToolDoes
search_docs, read_docSearch and read the Vectreal docs. No sign-in needed.
whoami, list_projects, create_project, list_scenesWho the session is, and the organization's projects and scenes.
create_scene_from_fileUploads a local GLB as a draft scene, as it is.
describe_modelA local GLB's size, meshes, materials and animation clips, and where the viewer places it, without rendering it.
get_scene_settings, update_scene_settingsRead every settings section; change lighting, environment, controls, bounds, shadows and presentation. Lighting supersedes environment and shadows once a scene has it.
publish_scene, unpublish_sceneCompress a local GLB as the publisher does (Draco, KTX2) and publish it; take a scene offline.
get_embed_snippetThe snippet and preview URL for a published scene, creating an embed key and allowing domains when asked.

Tools that take projectId default to the project vectreal init linked. The server finds that project in CLAUDE_PROJECT_DIR when the agent sets it, else in the directory it was started from. It signs in with the stored session, so run vectreal login first; a tool called without one says so.

To register it with Claude Code, run this in the project directory:

claude mcp add vectreal -- npx -y @vctrl/cli mcp

Or let the CLI write the entry into the current directory's .mcp.json:

npx -y @vctrl/cli mcp install

Run from npx, the entry it writes is npx -y @vctrl/cli mcp, so .mcp.json can be committed. Run from a checkout of this repository, it names paths on that machine instead.

The server is also listed in the MCP Registry as io.github.Vectreal/vectreal.

Output and exit codes

Results go to stdout, as JSON with --json. Everything else goes to stderr.

CodeMeaning
0Done
1Failed
2Wrong usage
3Not signed in, or the server no longer accepts the session: run vectreal login

Where the session is kept

In the OS keychain (macOS Keychain, Windows Credential Manager, Secret Service on Linux), one entry per origin. Where the keychain cannot be used, as on a headless Linux box with no Secret Service, the session goes to $XDG_CONFIG_HOME/vectreal/credentials.json (default ~/.config/vectreal) instead, and each command that does so says it on stderr. On macOS and Linux that file is readable only by you; on Windows it relies on your profile folder's permissions.

Signing in against a local stack

Register the CLI's OAuth client on the local Supabase stack once, then point the CLI at the dev server:

pnpm nx run vectreal-platform:supabase-register-cli-client
pnpm -s vectreal login --origin http://localhost:4200

From a checkout, use pnpm's -s: without it, pnpm prints its own banner to stdout before the CLI does, which breaks anything reading --json output.

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