What is Goldilocks?
Goldilocks is a research that Goldilocks predicts optimal k-point grids for Quantum ESPRESSO DFT calculations using ML.. It has a Nerq Trust Score of 42/100 (E). 3 GitHub stars. Published by https://github.com/stfc/goldilocks-mcp. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 3 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Goldilocks Does
Goldilocks is a mcp_server in the research category. Goldilocks predicts optimal k-point grids for Quantum ESPRESSO DFT calculations using ML.. It is published by https://github.com/stfc/goldilocks-mcp and has no specified license. With 3 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Goldilocks
Goldilocks is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/stfc/goldilocks-mcp |
|---|---|
| Category | research |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=goldilocks
Setup guide · Full safety report · Production review · Is it safe?
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Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.