VELMA

Item: VELMA
Rating: 67
Author: M8ven

MCP server for controlling a simulated robot arm with vision-based pick-and-place, driven by LLM or manual control.

→ Yunsmn/VELMA · listed on 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.

🔐

You'll be asked for 1 credential: LLM_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.

configMCP_URL

configLLM_BASE_URL— help for endpoint/model flags (, LLM_API_KEY, --mode autonativetext).

🔐 secretLLM_API_KEY— help for endpoint/model flags (LLM_BASE_URL, , --mode autonativetext).

configLLM_MODEL

configLLM_TIMEOUT

configMCP_READ_TIMEOUT

configSO101_SCENE— models/so101/<scene>.xml overrides the scene (default pick_and_place_scene.xml).

configSO101_VIEWER— 0 MUJOCO_GL=egl ./venv/bin/python main.py

configSO101_PORT

configSO101_EXPOSE_TRUTH— server with =1 — never set this when an LLM is connected).

// 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/yunsmn-velma-11ap3e)](https://m8ven.ai/mcp/yunsmn-velma-11ap3e)

commit: 34f72d0fb80b5cf1dc66eed6b7632d26c1ad7f77

code hash: c2f50e61d70553cd9c177169e3ab2badc554a1570b12e2c676e2349859324dfe

verified: 7/29/2026, 9:34:53 AM

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