Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
제작자가 쓴 설명(영어 원문)
Drive a local Blender headlessly: inspect, convert, render and script 3D files.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
BLENDER_PATH, BLENDER_MCP_TIMEOUT_MS, BLENDER_MCP_WORKDIR, BLENDER_MCP_ALLOW_PYTHON, BLENDER_MCP_INLINE_IMAGE_BYTES, BLENDER_MCP_INLINE_IMAGE_PX, BLENDER_MCP_MAX_CONCURRENCY, THREE_WS_BASE, THREE_WS_FORGE_TIMEOUT_MS, THREE_WS_FORGE_PROVIDER_KEY비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"blender": {
"command": "npx",
"args": [
"-y",
"@three-ws/blender-mcp"
],
"env": {
"BLENDER_PATH": "your-value",
"BLENDER_MCP_TIMEOUT_MS": "your-value",
"BLENDER_MCP_WORKDIR": "your-value",
"BLENDER_MCP_ALLOW_PYTHON": "your-value",
"BLENDER_MCP_INLINE_IMAGE_BYTES": "your-value",
"BLENDER_MCP_INLINE_IMAGE_PX": "your-value",
"BLENDER_MCP_MAX_CONCURRENCY": "your-value",
"THREE_WS_BASE": "your-value",
"THREE_WS_FORGE_TIMEOUT_MS": "your-value",
"THREE_WS_FORGE_PROVIDER_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add blender --env BLENDER_PATH=your-value --env BLENDER_MCP_TIMEOUT_MS=your-value --env BLENDER_MCP_WORKDIR=your-value --env BLENDER_MCP_ALLOW_PYTHON=your-value --env BLENDER_MCP_INLINE_IMAGE_BYTES=your-value --env BLENDER_MCP_INLINE_IMAGE_PX=your-value --env BLENDER_MCP_MAX_CONCURRENCY=your-value --env THREE_WS_BASE=your-value --env THREE_WS_FORGE_TIMEOUT_MS=your-value --env THREE_WS_FORGE_PROVIDER_KEY=your-value -- npx -y @three-ws/blender-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"blender": {
"command": "npx",
"args": [
"-y",
"@three-ws/blender-mcp"
],
"env": {
"BLENDER_PATH": "your-value",
"BLENDER_MCP_TIMEOUT_MS": "your-value",
"BLENDER_MCP_WORKDIR": "your-value",
"BLENDER_MCP_ALLOW_PYTHON": "your-value",
"BLENDER_MCP_INLINE_IMAGE_BYTES": "your-value",
"BLENDER_MCP_INLINE_IMAGE_PX": "your-value",
"BLENDER_MCP_MAX_CONCURRENCY": "your-value",
"THREE_WS_BASE": "your-value",
"THREE_WS_FORGE_TIMEOUT_MS": "your-value",
"THREE_WS_FORGE_PROVIDER_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"blender": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@three-ws/blender-mcp"
],
"env": {
"BLENDER_PATH": "your-value",
"BLENDER_MCP_TIMEOUT_MS": "your-value",
"BLENDER_MCP_WORKDIR": "your-value",
"BLENDER_MCP_ALLOW_PYTHON": "your-value",
"BLENDER_MCP_INLINE_IMAGE_BYTES": "your-value",
"BLENDER_MCP_INLINE_IMAGE_PX": "your-value",
"BLENDER_MCP_MAX_CONCURRENCY": "your-value",
"THREE_WS_BASE": "your-value",
"THREE_WS_FORGE_TIMEOUT_MS": "your-value",
"THREE_WS_FORGE_PROVIDER_KEY": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
BLENDER_PATH envBLENDER_MCP_TIMEOUT_MS envBLENDER_MCP_WORKDIR envBLENDER_MCP_ALLOW_PYTHON envBLENDER_MCP_INLINE_IMAGE_BYTES envBLENDER_MCP_INLINE_IMAGE_PX envBLENDER_MCP_MAX_CONCURRENCY envTHREE_WS_BASE envTHREE_WS_FORGE_TIMEOUT_MS env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 nirholas 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: THREE_WS_FORGE_PROVIDER_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.5.0)은 38일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
@three-ws/blender-mcp
Give any AI agent the Blender on your machine. Headless, no GUI, no add-on to install.
A Model Context Protocol server that hands an AI assistant a real Blender over stdio. Inspect a 3D file, convert between GLB, glTF, FBX, OBJ, STL, PLY, Collada, Alembic, USD and
.blend, render an auto-framed and auto-lit preview that comes back inline so the assistant can see it, run abpyscript against a scene, and generate a model from a text prompt on the free three.ws Forge lane.
Blender runs in background mode (blender -b), one process per call. That means it works on a server, in CI, and inside a container with no display, no GUI session to keep alive, and no add-on to install into Blender first. Everything is real: each tool drives the Blender installed on the machine, and blender_forge_import calls the live public three.ws generation pipeline.
PATH, set BLENDER_PATH to the executable (/Applications/Blender.app/Contents/MacOS/Blender on macOS).Call blender_info first if anything misbehaves: it reports the exact executable, version, render engines, and file formats this build supports.
npm install @three-ws/blender-mcp
Or run it with npx (no install):
npx -y @three-ws/blender-mcp
claude mcp add blender -- npx -y @three-ws/blender-mcp
Paste this into your MCP config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": { "blender": { "command": "npx", "args": ["-y", "@three-ws/blender-mcp"] } } }
Add "env": { "BLENDER_PATH": "/path/to/blender" } if Blender is not on PATH.
| Tool | What it does |
|---|---|
blender_info | Reports the Blender being driven: path, version, bundled Python, usable render engines, and the import/export formats this build actually supports. Read-only. |
blender_scene_info | Opens a 3D file and describes it: objects with types, parents, dimensions and modifiers; evaluated triangle and vertex counts; materials; a texture inventory with each image's resolution and byte size; armature bone names; animation actions with frame ranges; world-space bounds. Read-only. |
blender_convert | Imports one format and exports another, chosen by the file extensions. Applies modifiers by default and can bake in a uniform unit scale. The exact format list depends on the build (some Linux packages ship without USD, Collada, or Alembic), and blender_info reports what yours actually has. |
blender_optimize | The delivery pass in one call: decimate to a triangle budget, scale oversized textures, purge unreferenced datablocks, and compress the mesh streams with meshopt or Draco. Reports before and after triangles, texture bytes and file size. |
blender_render | Renders a still PNG and returns it inline, so the assistant can actually see the model in one call even with no filesystem access. Ask for several views and it orbits the model, every angle in the same launch. If the file has no camera, one is created and framed to the model's bounding sphere; if it has no light, a key light and a lit world are added. A scene that already has its own camera and lighting renders as authored. |
blender_run_python | Runs a bpy script against a scene, optionally opening a file first and exporting the result afterwards. The escape hatch for anything the other tools do not cover. |
blender_forge_import | Generates a model from a text prompt or a reference image on the public three.ws Forge pipeline and brings it into Blender, converting on the way in if the output asks for another format. The default lane is free. |
Describe a file before touching it:
> What is in ~/assets/character.fbx?
blender_scene_info { "input": "~/assets/character.fbx" } → 4 meshes, 41,208 triangles, 1 armature (67 bones), 3 actions, bounds 1.78m tall
Make a model shippable and see what it cost:
blender_optimize { "input": "character.glb", "output": "character-web.glb", "max_triangles": 30000, "max_texture_px": 1024 }
→ 4.1 MB to 780 KB (81% saved): 96,412 to 30,000 triangles, textures 2048 to 1024, meshopt compressed
Look at it from four sides at once:
blender_render { "input": "character-web.glb", "views": 4 }
Convert a client's FBX into a web-ready GLB, in metres:
blender_convert { "input": "character.fbx", "output": "character.glb", "scale": 0.01 }
See what you just made:
blender_render { "input": "character.glb", "output": "preview.png", "samples": 64 }
Halve the triangle count and export in one call:
blender_run_python {
"input": "character.glb", "output": "character-lod1.glb", "code": "import bpy\nfor obj in bpy.data.objects:\n if obj.type == 'MESH':\n obj.modifiers.new('Decimate', 'DECIMATE').ratio = 0.5\nresult = {'meshes': len([o for o in bpy.data.objects if o.type == 'MESH'])}" }
Generate an asset and open it as a .blend:
blender_forge_import { "prompt": "a weathered brass diving helmet", "output": "helmet.blend" }
Or reconstruct one from a reference image:
blender_forge_import { "image": "./reference.png", "prompt": "a brass diving helmet", "output": "helmet.glb" }
Meshopt- and Draco-compressed assets are decoded automatically before Blender opens them, in process, with no external binary to install.
This is not a nicety. Blender's glTF importer has no decoder for EXT_meshopt_compression, which is what gltfpack emits and what most three.ws avatars are delivered as; handed one it fails outright with *"Extension EXT_meshopt_compression is not available on this addon version"*. Draco is nominally supported but only on builds that ship libextern_draco, which several Linux distribution packages do not. Every tool that takes an input goes through the same decode, and the response names what was decoded in decoded_compression. Your file is never modified: the decoded copy lives in the job's scratch directory and is deleted with it.
Every tool call spawns blender -b --factory-startup --python src/py/runner.py -- and exits. Three consequences worth knowing:
Failures come back as structured tool errors (input_not_found, format_unsupported, engine_unavailable, timeout, blender_not_found, blender_unusable, blender_crashed), each with a message that says what to do about it. blender_not_found means no candidate exists; blender_unusable means one exists but would not run, and carries the per-candidate diagnostics, because on a loaded machine a failed probe is transient and telling you to install software you already have is the wrong answer.
| Variable | Default | Purpose |
|---|---|---|
BLENDER_PATH | discovered on PATH and at the platform's standard install locations | Absolute path to the Blender executable. |
BLENDER_MCP_TIMEOUT_MS | 300000 | Ceiling for one Blender job. |
BLENDER_MCP_WORKDIR | /three-ws-blender-mcp | Where outputs land when a tool is called without an explicit output path. |
BLENDER_MCP_ALLOW_PYTHON | 1 | Set to 0 to withdraw blender_run_python from the advertised tool list entirely. |
BLENDER_MCP_MAX_CONCURRENCY | 2 | Blender processes allowed at once. Further calls queue rather than compete for memory. |
BLENDER_MCP_INLINE_IMAGE_PX | 768 | Longest edge of the render copy returned inline. The full-resolution PNG always goes to disk. |
BLENDER_MCP_INLINE_IMAGE_BYTES | 1500000 | Past this the image stays on disk and the response says so. |
THREE_WS_BASE | https://three.ws | Deployment backing blender_forge_import. |
THREE_WS_FORGE_TIMEOUT_MS | 600000 | Ceiling for one text-to-3D generation. |
THREE_WS_FORGE_PROVIDER_KEY | unset | Meshy/Tripo key for the bring-your-own-key geometry lane. The default image lane is free and needs no key. |
blender_run_python executes caller-supplied Python inside Blender with the permissions of this server: it can read and write the local filesystem. That is the point of the tool, and it is annotated destructiveHint: true so a client can prompt before running it. For unattended or shared deployments, set BLENDER_MCP_ALLOW_PYTHON=0 and the tool is never advertised.
Everything else stays local. Only blender_forge_import reaches the network, and only to the three.ws deployment named by THREE_WS_BASE.
node src/index.js # run the server over stdio
npm test # offline invariants + real-Blender integration npm run inspect # open the MCP Inspector against it
test/registration.test.mjs runs offline and passes with no Blender installed. test/blender-session.test.mjs drives the server through a real MCP stdio session against the local Blender, building its fixture with Blender itself; it skips cleanly when no Blender is present.
integrations/blender/ is the artist-facing counterpart: a Blender add-on with a sidebar panel that generates three.ws models from inside the GUI. This package is the agent-facing one.@three-ws/scene-mcp composes whole 3D worlds from a sentence.Apache-2.0