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PolicyPulse MCP

PolicyPulse connects your AI assistant directly to your Kubernetes policy engines. Instead of switching between three dashboards and two CLIs, you ask in plain English and get answers enriched with CI

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
networksecrets
◆ Risk level: medium· 7 tools · auth: API key
network + secrets — requires access to credentials or environment secrets.
Tool nameDescriptionDestructive?
cluster_statusWhich policy engines are connected, fleet overview, and credential type✓ no
list_policiesAll policies across connected engines, filterable by engine✓ no
get_violationsActive violations enriched with compliance framework refs, filterable by namespace, engine, severity, or cluster✓ no
get_compliance_risk_summaryCross-engine risk summary with severity breakdown and regulatory impact✓ no
explain_violationPlain English explanation of one violation with framework mapping and remediation steps✓ no
+2 more tools
check_manifest_complianceStatic pre-deploy gate — checks a Kubernetes YAML manifest for policy violations, no cluster needed✓ no
list_controlsFull compliance control catalog with CIS, PCI-DSS, NIST 800-53, and SOC 2 mappings✓ no
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/raviteja-pegata/policy-pulse-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 updated4d ago
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PolicyPulse MCP — MCP Score: 50/100 | MCPScore | Timeahead