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  3. Glbforge
Glbforge logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 8:16:08 AM

Glbforge

User RatingsBe the first to rate and review this MCP server!
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website
3dasset-optimizationmcpweb-assets

Analyze, optimize, inspect, diff, and export 3D assets for web delivery through MCP and a local CLI.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

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Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "glbforge": {
      "command": "npx",
      "args": [
        "-y",
        "glbforge"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Overview

The glbforge MCP server gives AI agents tools for inspecting, comparing, analyzing, optimizing, and exporting 3D assets. It covers GLB/GLTF workflows, deterministic 2D logo extrusion, Meshy-based image or text generation, and budget checks suitable for CI. Reach for it when an agent needs measurable mesh diagnostics, optimization reports, or a budget-gated asset pipeline rather than only file conversion.

Use cases

β€’Inspect a generated mesh after each agent edit
β€’Compare two asset revisions for topology regressions
β€’Gate web assets against triangle and texture budgets
β€’Extrude a logo into a watertight textured model
β€’Generate or optimize assets before exporting them

Key features

β€’MCP tools for 3D asset inspection and diffs
β€’Versioned budget analysis and optimization
β€’Deterministic logo-to-3D extrusion
β€’Meshy image and text generation
β€’GLB, STL, and USDZ export workflows
β€’Local React Three Fiber viewer scaffolding

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Glbforge.

Extracted Tool Capabilities
MCP tools for 3D asset inspection and diffs
Versioned budget analysis and optimization
Deterministic logo-to-3D extrusion
Meshy image and text generation
GLB, STL, and USDZ export workflows
Local React Three Fiber viewer scaffolding

How Glbforge works

What the glbforge MCP server does

The glbforge MCP server exposes GLBForge’s local 3D asset workflow to MCP clients. Its 28 tools cover mesh inspection, before-and-after comparison, budget analysis, optimization, logo extrusion, Meshy generation, shipping workflows, and related asset operations. The same capabilities are also available through the GLBForge CLI and local Studio interface.

The server is intended for AI-assisted editing and release checks. An agent can inspect a mesh after an edit, compare it with an earlier version, identify topology or transform regressions, and run budget checks before an asset reaches a web application. The project also handles 2D artwork and photographs: logos can be converted deterministically into watertight 3D geometry, while photographic inputs can be sent to Meshy or processed with the subject-lifting matte flow.

How it works

Inspection reports scene and geometry findings such as shell count, open or overlapping geometry, dimensions, up axis, origin placement, and unapplied or mirrored transforms. Findings include rule identifiers and certainty information. The diff workflow compares two files and reports changes to parts, triangles, shells, topology, transforms, nodes, and meshes. Optional visual comparison uses fixed front, side, top, and isometric views with SSIM measurements.

A typical release path is analyze, optimize, then verify. Analysis applies a selected budget profile and returns a report; optimization can weld, simplify, create LODs, and compress content to meet a target. ship combines routing, analysis, optimization, and gating for a GLB, logo, or photograph. The glbforge MCP server returns these operations to an agent as tool results rather than requiring shell commands.

Setup and configuration

Build the repository with pnpm install && pnpm build. The README identifies the MCP package as @glbforge/mcp and the registry identifier as dev.glbforge/glbforge, but it does not provide a client-specific configuration example. The command-line examples invoke the built CLI from packages/cli/dist/index.js.

Usage counting is optional and disabled by default. Set GLBFORGE_USAGE=1 to enable the local counter, or use glbforge usage --enable. Records are written to ~/.config/glbforge/usage.jsonl; GLBFORGE_CONFIG_DIR changes that location. The project states that these records remain local.

Tools and capabilities

  • Inspect meshes and scenes, including GLB, GLTF, USDZ, USDA, and USDC inputs.
  • Compare revisions and report geometry, topology, transform, and visual changes.
  • Analyze assets against mobile, desktop, or product-configurator budgets.
  • Optimize geometry and textures, generate LODs, and verify results.
  • Extrude logos or other 2D graphics into textured, watertight 3D assets.
  • Generate or download models through the Meshy REST API.
  • Scaffold a React Three Fiber viewer and export GLB, STL, or USDZ assets.
  • Preview and tune photographic subject masks before extrusion.

Limitations and notes

The matte workflow is an inference for photographs, not a guaranteed segmentation result. It reports coverage, pieces, holes, and confidence, and refuses results below its confidence threshold. front is recorded as declared input and is not inferred. GLB files use Y-up by definition, so a requested Z-up value is informational for that format.

Topology processing can be skipped, and non-manifold geometry may cause LOD simplification to use grid vertex clustering instead. Analysis exits non-zero when an asset exceeds its selected budget, which makes it suitable for CI gating. The README does not name specific MCP desktop or editor clients, nor does it state a license.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
2
Stargazers on the source repository.
npm downloads
529
Package downloads in the last 30 days.
Last commit
8d ago
Most recent push to the default branch.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Glbforge

glbforge is an MCP server that connects AI agents to GLBForge’s 3D asset workflows. Its main tools inspect and diff meshes, analyze and optimize budgets, extrude 2D artwork, route generation through Meshy, and run budget-gated shipping operations for web-ready assets.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedOct 6, 2026
8/8 checks healthy over the last 44d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
Last commit8d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 1, 2026
npm downloads529/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
44Quality signal: Fair Β· 44/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity7/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 12d ago via OSV.dev Β· glbforge (npm)

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