Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Drive Blender scenes: scene and object info, code execution, assets and 3D generation.
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Node.js
SettingsDeveloperEdit Config
{
"mcpServers": {
"scenemodel": {
"command": "npx",
"args": [
"-y",
"@reneturcios/scenemodel",
"mcp"
]
}
}
}Use Scenemodel and tell me what you can do for me, then show me one thing✓ If Claude says it is using Scenemodel or shows a Scenemodel tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Scenemodel yet
Scenemodel runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect Scenemodel
B · Others in Design, images & audio that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user scenemodel -- npx -y @reneturcios/scenemodel mcpYou should see Scenemodel listed as connected
Use Scenemodel and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Scenemodel or shows a Scenemodel tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Use Scenemodel and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Scenemodel or shows a Scenemodel tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Use Scenemodel and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Scenemodel or shows a Scenemodel tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Claude Code
claude mcp add --scope user scenemodel -- npx -y @reneturcios/scenemodel mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"scenemodel": {
"command": "npx",
"args": [
"-y",
"@reneturcios/scenemodel",
"mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"scenemodel": {
"command": "npx",
"args": [
"-y",
"@reneturcios/scenemodel",
"mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"scenemodel": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/scenemodel",
"mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
npm: @reneturcios/scenemodeloci: ghcr.io/cloudcorprecords/scenemodel:0.1.0Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
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 13, 2026
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
Code last changed 11 days ago
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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Posts here are written by users, not the PopNx team.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed 11 days ago, and the latest version (0.1.0) reached the registry 11 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Figma Context MCP, AutoClip, Next AI Draw.io
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ 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.
Clip long videos into short clips with covers and captions. Local CLI and MCP.
draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand
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 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.
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.
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.
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.
| Tool | Input | Addon command |
|---|---|---|
get_scene_info | — | get_scene_info |
get_object_info | object_name (required) | get_object_info |
execute_blender_code | code (required) | execute_code |
get_viewport_screenshot | max_size (optional) | get_viewport_screenshot — returns a format/length summary, not image content |
get_polyhaven_categories | asset_type (optional) | get_polyhaven_categories |
search_polyhaven_assets | asset_type, categories (optional) | search_polyhaven_assets |
download_polyhaven_asset | asset_id, asset_type (required), resolution, file_format | download_polyhaven_asset |
generate_hunyuan3d_model | text_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.
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.
MIT — see LICENSE.