Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者による説明(英語の原文)
Drive a local Blender headlessly: inspect, convert, render and script 3D files.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
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_KEY「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"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"
}
}
}
}ターミナルでこれを実行します
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-mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
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 envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント nirholas で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:THREE_WS_FORGE_PROVIDER_KEY
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.5.0)がレジストリに届いたのは37 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Figma Context MCP, Claude Real Video, Figma MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
@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