AIops-tools/Compliance-AIops

Overview

Generates compliance evidence from AIops audit trails for HIPAA, PCI-DSS, SOC2, and GDPR. Audit records are sealed with a hash chain to prove integrity. Exposes 15 Model Context Protocol tools in preview for integrating compliance workflows.

Best for

Best for
Python-based teams needing compliance-grade audit evidence from AIops systems

Use cases

• Produce audit-trail evidence for compliance audits
• Seal audit logs with hash-chain integrity proofs
• Connect MCP-aware tools to compliance evidence workflows

How to use

Tools exposed

• list_audit_sources
• query_audit_events
• activity_timeline
• list_frameworks
• coverage_summary
• control_evidence
• gap_analysis
• approval_report
• exceptions_report
• verify_source_chain
• verify_bundle
• list_bundles
• oscal_assessment_results
• bundle_schedule_hint
• generate_evidence_bundle
• export_bundle
• sign_bundle

Tested with

Claude Code

Notes

Generates compliance evidence from AIops audit trails for HIPAA, PCI-DSS, SOC2, and GDPR. Audit records are sealed with a hash chain to prove integrity. Exposes 15 Model Context Protocol tools in preview for integrating compliance workflows.

0 stars on GitHub. Last updated 2026-09-12. Licensed MIT.

Use cases

• Produce audit-trail evidence for compliance audits
• Seal audit logs with hash-chain integrity proofs
• Connect MCP-aware tools to compliance evidence workflows

Pros

• Covers four major compliance frameworks
• Hash-chain sealing provides tamper-evident audit trails
• MCP tool support enables flexible integrations

Cons

• Preview stage and zero stars suggest limited real-world validation
• Python-only, restricting adoption in non-Python stacks
• No indication of built-in reporting or dashboard features

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.