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ai.responsibleailabs/rail-score

Responsible-AI guardrails for agents: scoring, prompt-injection & PII detection, DPDP compliance.

43poor
1 credential detected in repository history via Gitleaks
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
80
28.0
Freshness
25%
30
7.5
Adoption
20%
0
0.0
Quality
10%
20
2.0
Trust
10%
50
5.0
Total
42.5
⚿ Capabilities & Risk Explainer
fs readnetworksecrets
◆ Risk level: medium
fs read + 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/Responsible-AI-Labs/rail-score-mcp
📈 Score historylast 2 snapshots
6/10/20266/11/2026 · 2 snapshots
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated3d ago
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ai.responsibleailabs/rail-score — MCP Score: 43/100 | MCPScore | Timeahead