Glbforge MCP Server

GLBForge — the web-readiness layer for AI-generated 3D

glbforge.dev · raw AI mesh in, shipped asset out

Makes AI-generated 3D assets (Meshy, etc.) actually shippable on the web: analyze → optimize → scaffold a viewer, with performance budgets as a CI-able contract.

Status

• ✅ glbforge analyze — budget report card + named lint rules
• ✅ glbforge optimize — weld/simplify/LOD/compress to hit the budget
• ✅ glbforge scaffold — emit a React Three Fiber viewer for the optimized asset
• ✅ glbforge meshy — generate/download via Meshy REST API (image/text → 3D, --optimize glue)
• ✅ MCP server wrapping all of the above (@glbforge/mcp, 8 tools)
• ✅ GLBForge Studio (glbforge ui) — local web UI: drag-drop analyze, one-click optimize with a before/after compare slider in the viewport, logo forging, Meshy generation with live progress, STL export. Zero hosting; runs entirely on your machine.
• ✅ glbforge extrude — deterministic logo/graphic → 3D (no AI, no credits): traces the silhouette (marching squares → Douglas-Peucker → earcut), extrudes it watertight, and projects the source image back on as the texture. For 2D artwork (logos, wordmarks) this beats image-to-3D generation outright: ~1.5k tris vs ~2M, exact silhouette, original colors. --bevel adds a signage-style rounded rim (miter-limited, clamp-probed insets + a crack stitching pass keep it watertight even on thin graffiti strokes; verified 0 boundary / 0 non-manifold edges on real logo fixtures). Photographic inputs are detected and routed to Meshy instead. Also exposed as the extrude_image MCP tool.

Usage

pnpm install && pnpm build
node packages/cli/dist/index.js analyze fixtures/veiled-guardian.glb --profile mobile-hero
node packages/cli/dist/index.js optimize fixtures/veiled-guardian-tex4k.glb -o out.web.glb --lods 40000,10000
node packages/cli/dist/index.js scaffold out.web.glb -o viewer && cd viewer && pnpm install --ignore-workspace && pnpm dev
node packages/cli/dist/index.js ui model.glb   # GLBForge Studio on localhost:5177

analyze flags: --profile mobile-hero|desktop-hero|product-configurator, --json, --no-topology. Exits non-zero when the asset is over budget — wire it into CI like a linter. optimize flags: --target <tris>, --lods a,b, --no-textures, --no-compress.

Measured on the included Meshy 7 fixture (4K textures, 1.99M tris): 89.4MB → 5.5MB (93.8% smaller), score 25 → 100, ~7s. Pipeline: dedup → weld → meshopt-simplify to budget (error ladder) → fill missing normals → texture resize + WebP (normal maps near-lossless) → prune → EXT_meshopt_compression.

Packages

MCP server

.mcp.json registers the server for Claude Code automatically (build first: pnpm build). For other clients:

claude mcp add glbforge -- node /path/to/XUI/packages/mcp/dist/index.js

Generation tools are deliberately split into create/status/download — Meshy tasks take minutes, and agents poll at their own pace instead of holding a tool call open.

Meshy API key

Copy .env.example to .env and set MESHY_API_KEY (gitignored, loaded automatically, never overrides real env vars). Or keep it out of files entirely via macOS Keychain:

security add-generic-password -a "$USER" -s meshy-api-key -w
# ~/.zshrc: export MESHY_API_KEY=$(security find-generic-password -s meshy-api-key -w)

Full loop, one command:

node packages/cli/dist/index.js meshy image art.png --pbr --optimize -p mobile-hero -o hero.glb

Open-model generation (fal.ai)

True image→3D via open weights on GPU inference — often 5-25x cheaper than commercial generation. Set FAL_KEY (https://fal.ai/dashboard/keys):

node packages/cli/dist/index.js gen photo.png --model hunyuan --optimize   # Hunyuan3D-2
node packages/cli/dist/index.js gen photo.png --model trellis             # TRELLIS
node packages/cli/dist/index.js gen photo.png --model triposr             # fastest

The studio's generate panel picks up every configured provider automatically (Meshy + the open trio side by side, with per-model credit costs in hosted mode).

Rules

perf/* budget violations fail the build; geo/*, topo/*, mat/*, tex/*, scene/* describe defects typical of AI-generated assets, each with a concrete fix. See packages/core/src/rules.ts.

Design decisions

• Pure Node/TS, no Blender dependency. Analysis and (upcoming) optimization run on @gltf-transform + meshoptimizer — native to glTF, no lossy DCC round-trip, installable via npx, CI-friendly. Ops are designed as pluggable backends so Blender-only capabilities (retopo, UV unwrap, baking) can be added later without changing the CLI surface.
• Topology in welded space. Boundary/non-manifold counts are computed after unifying position-duplicate vertices, so unwelded exports don't produce garbage numbers.
• Budgets are profiles, not advice. An asset passes or fails a named target (mobile-hero etc.). Determinism makes it automatable.

Fixtures

• fixtures/veiled-guardian.glb — Meshy 7 High-Detail geometry-stage export (1.99M tris, POSITION-only, 34MB). Welded + manifold; tests assert we don't cry wolf.
• fixtures/veiled-guardian-tex4k.glb — same asset after the 4K texture stage (89MB). Its 77k position-duplicate vertices are UV-seam splits, not waste; the topo/unwelded rule distinguishes these (regression-tested).