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Vrm Toolkit MCP

by dwarehouse1version 0.1.1i★ –iRuns on your computer
Registry nameio.github.dwarehouse1/vrm-toolkit-mcp

Install

Overview

Description from the maker (original English)

Inspect, validate and preview VRM / VRMA files from an AI agent (5 tools, local stdio server).

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: Other

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).
  • You fill in yourself: VRM_TOOLKIT_CHROME

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": {
    "vrm-toolkit": {
      "command": "npx",
      "args": [
        "-y",
        "vrm-toolkit-mcp"
      ],
      "env": {
        "VRM_TOOLKIT_CHROME": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add vrm-toolkit --env VRM_TOOLKIT_CHROME=your-value -- npx -y vrm-toolkit-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "vrm-toolkit": {
      "command": "npx",
      "args": [
        "-y",
        "vrm-toolkit-mcp"
      ],
      "env": {
        "VRM_TOOLKIT_CHROME": "your-value"
      }
    }
  }
}

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": {
    "vrm-toolkit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "vrm-toolkit-mcp"
      ],
      "env": {
        "VRM_TOOLKIT_CHROME": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • VRM_TOOLKIT_CHROME env
    Optional path to a Chromium-based browser executable for the rendering tools

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 dwarehouse1, 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 Otheri

  • More stars than 0% of the other 32718 servers in this category
  • Published to the registry more recently than 21% of the other 32718 servers in this category
  • Basic checks equal to or better than 100% of the other 32718 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 Vrm Toolkit MCP 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 (0.1.1) reached the registry 3 months 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: Spec Driven Development, Remote Desktop Commander, MemberVault MCP by usefulapi

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

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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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.

vrm-toolkit-mcp

v0.1.1 — [npm](https://www.npmjs.com/package/vrm-toolkit-mcp) / [GitHub](https://github.com/dwarehouse1/vrm-toolkit-mcp)

An MCP (Model Context Protocol) server that lets an AI agent inspect, validate and preview VRM / VRMA files on your machine. Five tools, stdio transport, no network access at runtime.

VRM / VRMAファイルの検品・情報抽出・プレビューをAIエージェントから使えるようにする MCPサーバーです。ツールは5本、stdioトランスポート、実行時のネットワークアクセスなし。

Tools / ツール

ToolWhat it does説明
vrm_inspectStructured JSON: meta (name/author/license and permission fields), humanoid bone map, expressions, polygon/texture statisticsメタ(名前/作者/ライセンス許諾)・ボーン・表情・ポリゴン/テクスチャ規模を構造化出力
vrm_validateFinding list: missing required humanoid bones, broken node references, missing meta/license fields, unknown required extensions, configurable size/triangle/texture budgetshumanoidマッピング欠落・参照切れ・メタ/ライセンス欠落・未知の必須拡張・サイズ超過などの検品リスト
vrma_inspectTracks, targeted humanoid bones, expression tracks, duration, estimated frame rateトラック・対象ボーン・表情トラック・尺・フレームレート推定
vrma_previewApplies a VRMA to a VRM and renders a PNG still or a short WebM clip (max 10 s) through local headless Chrome/EdgeVRMAをVRMに適用し、ローカルのヘッドレスChrome/EdgeでPNG静止画または短尺WebM動画を書き出し
vrm_snapshotRenders a rest-pose PNG with optional expression weights and view presets (front / three-quarter / side / face close-up)表情ウェイトとビュープリセット(正面/斜め/側面/顔アップ)を指定できる静止画スクリーンショット

Structural tools (vrm_inspect, vrm_validate, vrma_inspect) parse the GLB/glTF container directly in Node and need no browser. Rendering tools (vrma_preview, vrm_snapshot) use an already-installed Chromium-based browser via puppeteer-core; nothing is downloaded.

構造系3ツールはNode単体でGLB/glTFを直接パースし、ブラウザ不要。描画系2ツールは インストール済みのChromium系ブラウザをpuppeteer-coreで使います(追加ダウンロードなし)。

Supported inputs: VRM 0.x (extensions.VRM), VRM 1.0 (extensions.VRMC_vrm), VRMA (extensions.VRMC_vrm_animation), GLB container or plain glTF JSON.

Requirements / 動作条件

  • Node.js 20+
  • For vrma_preview / vrm_snapshot: a local Chrome or Edge (auto-detected; override with the VRM_TOOLKIT_CHROME environment variable)
  • Input size budget: 512 MiB by default (VRM_TOOLKIT_MAX_BYTES to override)

Setup / セットアップ

Register with Claude Code / Claude Codeへの登録:

claude mcp add vrm-toolkit -- npx -y vrm-toolkit-mcp

Other MCP hosts / その他のMCPホスト: command npx, args ["-y", "vrm-toolkit-mcp"] (stdio).

From source / ソースから:

npm install

npm run build claude mcp add vrm-toolkit -- node /absolute/path/to/vrm-toolkit/dist/main.js

Execution examples / 実行例

Real outputs from the local test run (2026-08-05, file paths shortened). ローカルテスト実行(2026-08-05)の実出力です(パスは短縮表記)。

vrm_inspect

Input: a VRoid Studio-exported VRM 1.0 avatar (15.7 MB).

{

"file": { "path": "...\\V1.vrm", "bytes": 15737992, "container": "glb" }, "vrm": { "specFamily": "vrm1", "specVersion": "1.0" }, "meta": { "name": "V1", "authors": ["D"], "licenseUrl": "https://vrm.dev/licenses/1.0/", "avatarPermission": "onlyAuthor", "commercialUsage": "corporation", "creditNotation": "required", "allowRedistribution": false, "modification": "prohibited" }, "humanoid": { "mappedBoneCount": 54, "bones": [ { "bone": "hips", "node": 1, "nodeName": "J_Bip_C_Hips" }, { "bone": "spine", "node": 34, "nodeName": "J_Bip_C_Spine" } ], "missingRequiredBones": [] }, "expressions": { "presetCount": 14, "presets": ["happy", "angry", "sad", "..."] }, "geometry": { "meshCount": 3, "totalVertices": 103489, "totalTriangles": 33484, "perMesh": [ { "name": "Face (merged)", "vertices": 33640, "triangles": 7308 }, { "name": "Body (merged)", "vertices": 57128, "triangles": 11548 }, { "name": "Hair001 (merged)", "vertices": 12721, "triangles": 14628 } ] }, "textures": { "imageCount": 26, "totalImageBytes": 8033934, "maxDimension": 2048 }, "materials": { "materialCount": 17 } }

(Output truncated for readability; the tool returns the full bone and image lists.)

vrma_inspect
{

"file": { "path": "...\\motion-walk-forward.vrma", "bytes": 3268, "container": "glb" }, "vrma": { "specVersion": "1.0" }, "humanoid": { "mappedBoneCount": 16, "bones": ["hips", "spine", "chest", "head", "..."] }, "animation": { "animationCount": 1, "channelCount": 2, "channelsByPath": { "translation": 1, "rotation": 1, "scale": 0, "weights": 0 }, "totalKeyframes": 62, "durationSec": 1.25, "fpsEstimate": 24, "frameCountEstimate": 31, "humanoidBoneTracks": [ { "bone": "hips", "paths": ["translation"] }, { "bone": "chest", "paths": ["rotation"] } ] } }

vrm_validate

A finding list with stable codes and severities:

{

"ok": false, "errorCount": 1, "warningCount": 1, "findings": [ { "severity": "error", "code": "HUMANOID_REQUIRED_BONE_MISSING", "message": "required humanoid bone is not mapped: leftHand (vrm1 required set)" }, { "severity": "warning", "code": "META_LICENSE_OTHER_URL_MISSING", "message": "licenseName is Other but otherLicenseUrl is empty" } ] }

vrm_snapshot / vrma_preview
{

"output_path": "...\\v1-three-quarter-snapshot.png", "format": "png", "bytes": 194005, "width": 768, "height": 1024, "view": "three_quarter", "pose": "rest", "humanoid_bone_count": 54 }

{

"output_path": "...\\v1-walk-preview.webm", "format": "webm", "bytes": 313597, "width": 768, "height": 768, "clip_duration_sec": 1.25, "recorded_duration_sec": 3, "fps": 30 }

Error codes / エラーコード

Every failure is a structured tool error with one of: FILE_NOT_FOUND, SIZE_BUDGET_EXCEEDED, NOT_A_GLB, NOT_A_VRM, NOT_A_VRMA, BROWSER_NOT_FOUND, RENDER_FAILED, OUTPUT_WRITE_FAILED. The server process never crashes on a bad input file.

Privacy / プライバシー

All processing is local. The server opens no network connection, sends no telemetry, and writes only the output files you name. / 処理はすべてローカルです。ネットワーク接続・テレメトリ送信は なく、書き込みは指定した出力ファイルのみです。

Development / 開発

npm test   # build + 25 self-verification tests (structural, boundary, headless rendering)

Rendering tests skip with a notice when no local Chrome/Edge is found.

License / ライセンス

MIT (see LICENSE). / MITライセンス(LICENSE参照)。

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