3D Agent MCP

Item: 3D Agent MCP
Rating: 73
Author: M8ven

MCP server for generating print-ready 3D models from text descriptions via a multi-agent pipeline, enabling AI assistants to create and optimize STL files.

→ teslaproduuction/3d-agent-mcp · listed on glama

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Glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 5 credentials: RESTART_TOKEN, HF_TOKEN, HUGGING_FACE_HUB_TOKEN, OPENAI_API_KEY, ANTHROPIC_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

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

configHEATMAP_ENABLED

configHEATMAP_SAMPLE_POINTS

configHEATMAP_CHUNK_SIZE

🔐 secretRESTART_TOKEN

configAPP_CONTAINER

configPORT

🔐 secretHF_TOKEN

🔐 secretHUGGING_FACE_HUB_TOKEN

configMODEL_NAME

configDEVICE

configUSE_FP16

configREMBG_WARMUP_ON_START

configGRADIO_ENABLE_QUEUE

configGRADIO_QUEUE_CONCURRENCY

configGRADIO_QUEUE_MAX_SIZE

🔐 secretOPENAI_API_KEY— "": "your_key"

🔐 secretANTHROPIC_API_KEY— Claude models as agent LLM Optional

configREDIS_URL

configREDIS_SESSION_TTL_SECONDS

configOLLAMA_BASE_URL

configCOMFYUI_URL

configHUNYUAN3D_URL

// 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 3 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/teslaproduuction-3d-agent-mcp-boovl6)](https://m8ven.ai/mcp/teslaproduuction-3d-agent-mcp-boovl6)

commit: efcd74b5c1e3f396456a85fc36fdd4ac3ddd6a05

code hash: 2b1ebc13b826c4000d5584d10edea5dc332b2f71a297eece60dba13d39e8dc6e

verified: 6/24/2026, 9:38:35 AM

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