canvas3d-mcp

Enables AI agents to create, render, and validate 3D scenes, 2D art, and games in HTML canvas using Three.js, WebGL, or Canvas 2D, with multi-angle screenshots, structured validation reports, and interactive playtesting.

→ eduardosm123/mcp-3d-llm · listed on glama

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// key findings

⚠️

Tests do not pass

Either the test suite is broken or the code regressed. Either way the published behaviour can’t be verified by the publisher’s own tests.

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configCANVAS3D_BROWSER_ARGS— WebGL headless funciona sem flags (SwiftShader). Override: .

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 7 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/eduardosm123-mcp-3d-llm-jml4i4)](https://m8ven.ai/mcp/eduardosm123-mcp-3d-llm-jml4i4)

commit: b47154d6d54d69fc1f4c9afe9e858493977c045d

code hash: 3cea78ec426b79c0323edea42c79d1523cf9f32facb7806908d9ac22884c12c5

verified: 6/13/2026, 9:40:25 AM

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