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infra-advisor-mcp

Estimates GPU requirements, training/inference costs, and cloud-vs-on-prem TCO for AI workloads using deterministic calculators.

github ↗
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50poor
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
30
7.5
Adoption
20%
0
0.0
Quality
10%
20
2.0
Trust
10%
50
5.0
Total
49.5
⚿ Capabilities & Risk Explainer
fs readfs writenetworksecrets
◆ Risk level: medium
fs read + fs write + network + secrets — requires access to credentials or environment secrets.
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/c3-yang-song/LLM-Infra-Advisor-MCP
📈 Score historylast 2 snapshots
6/13/20266/16/2026 · 2 snapshots
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated2d ago
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infra-advisor-mcp — MCP Score: 50/100 | MCPScore | Timeahead