What is Materials Science Knowledge Graph?
Materials Science Knowledge Graph is a AI tool that Ontology-aware RAG pipeline for natural-language-to-SPARQL queries against the NFDI MatWerk materials science ontology.. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by https://github.com/ebrahimnorouzi/mse-kg-mcp. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Materials Science Knowledge Graph Does
Materials Science Knowledge Graph is a mcp_server in the AI tool category. Ontology-aware RAG pipeline for natural-language-to-SPARQL queries against the NFDI MatWerk materials science ontology.. It is published by https://github.com/ebrahimnorouzi/mse-kg-mcp and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Materials Science Knowledge Graph
Materials Science Knowledge Graph is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | https://github.com/ebrahimnorouzi/mse-kg-mcp |
|---|---|
| Category | AI tool |
| 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=materials-science-knowledge-graph
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.