claude mcp add compliance-aiops -- npx -y compliance-aiops
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
0 ★ · AIops-tools/Compliance-AIops · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository AIops-tools/Compliance-AIops;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
> **Disclaimer**: Community-maintained open-source project. **Not affiliated with, endorsed by, or sponsored by any framework body or GRC vendor.** HIPAA, PCI-DSS, SOC 2, GDPR and OSCAL are referenced descriptively; the frameworks and trademarks belong to their owners. MIT licensed. Governed **compliance-evidence** tooling for AI-agent infrastructure ops. It **reads the audit trails your governed AIops agents already write** — the local ~/. -aiops/audit.db SQLite trails, all sharing one audit_log schema — and turns that activity into **framework-mapped, hash-chain-sealed compliance evidence**. It **never scans your infrastructure and never replaces a GRC platform**: it converts the trails you already produce into auditor-ready, tamper-evident evidence bundles. Unlike the other tools in the AIops-tools line it is **not a platform wrapper**: **no external API, no network, no platform credentials**. Its only inputs are those on-disk audit databases, read **read-only**. That also makes it the easiest-to-self-test tool in the line — fully offline and deterministic. > **Evidence, not certification.** Fully offline; the source audit.db > files remain the system of record. OSCAL export is a documented v0.2 roadmap > item (v0.1 emits JSON + Markdown + CSV shaped to ease a future OSCAL > Assessment-Results adapter). Key features - **Framework mapping with honest evidence-strength** — audit events map to **HIPAA §164.312 / PCI-DSS v4.0 / SOC 2 TSC / GDPR** controls. Audit trails prove *operating effectiveness* strongly but *control design / configuration* only partially, and each control is labelled strong or partial. gap_analysis says so per control, with the caveat and a remediation hint. - **Hash-chain-sealed evidence bundles** — SHA-256 over ordered records (hash = SHA-256(prev_hash ‖ canonical_json(record)), genesis prev = 64 zeros). The chainHead is **reproducible** for the same (framework, period, sources). verify_bundle catches tampering; verify_source_chain detects row-id gaps / deletions in a source trail. An optional HMAC signature seals a bundle under a stored signing key. - **Zero-network, read-only** — no credentials, no outbound calls, no mutation of the source trails. Bundles are the only thing written, under ~/.compliance-aiops/bundles/. - **Deterministic, test-verified integrity** — the integrity claims are themselves covered by tests: synthetic audit DBs are built through the real governance-harness AuditEngine, a golden reproducible chainHead is asserted, and tamper tests confirm detection. No live infrastructure needed. What this tool does, and does not, decide It reads your audit trails and writes evidence bundles — and records every operation. It does **not** decide whether producing or signing a bundle is allowed: that is the agent's judgement, or the filesystem permissions of the account it runs as. The source audit.db files are opened strictly read-only regardless, and the only thing ever written is a bundle under ~/.compliance-aiops/bundles/. So there is no read-only switch, no policy file, no approval gate to configure. The one thing the tool guarantees is that nothing is silent: **every call, over MCP and over the CLI alike, lands an audit row** in ~/.compliance-aiops/audit.db. > Each tool declares a risk_level, kept in agreement with its [READ]/[WRITE] > documentation tag by a test, and carried into the audit row as a descriptive > tier — so a reviewer can see at a glance what a row was. It is a label, not a > gate. Tools (16 MCP tools) Read / analysis (13) | Tool | Purpose | |------|---------| | list_audit_sources | Discovered sibling audit DBs (path, tool, readable, row count) | | query_audit_events | Cross-tool event query — filter by tool/skill/status/risk/approved/selector/since/until |