Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Inspect, validate and preview VRM / VRMA files from an AI agent (5 tools, local stdio server).
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
VRM_TOOLKIT_CHROMEYou need
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-mcpFill in the empty values before running it.
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.
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.
VRM_TOOLKIT_CHROME envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
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 7, 2026
The registry name was verified with the GitHub account dwarehouse1, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
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 –, and the latest version (0.1.1) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, MemberVault MCP by usefulapi
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
List courses; add users to courses, remove course access or delete users in MemberVault.
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.
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。
| Tool | What it does | 説明 |
|---|---|---|
vrm_inspect | Structured 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_validate | Finding list: missing required humanoid bones, broken node references, missing meta/license fields, unknown required extensions, configurable size/triangle/texture budgets | humanoid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_inspect | Tracks, 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_preview | Applies a VRMA to a VRM and renders a PNG still or a short WebM clip (max 10 s) through local headless Chrome/Edge | VRMA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_snapshot | Renders 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.
vrma_preview / vrm_snapshot: a local Chrome or Edge (auto-detected; override with the VRM_TOOLKIT_CHROME environment variable)VRM_TOOLKIT_MAX_BYTES to override)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
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)。
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.)
{
"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"] } ] } }
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" } ] }
{
"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 }
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.
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。
npm test # build + 25 self-verification tests (structural, boundary, headless rendering)
Rendering tests skip with a notice when no local Chrome/Edge is found.
MIT (see LICENSE). / MITライセンス(LICENSE参照)。