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  3. Compliance AIops
Compliance AIops logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 10:18:15 AM

Compliance AIops

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
View RepositoryVisit Website

Compliance evidence from AIops audit trails: HIPAA/PCI/SOC2/GDPR, hash-chain-sealed, 15 tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Compliance AIops, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Tool Schemas (17) Directory Badge Claim listing Alternatives🔒 More in Security

Capabilities & Tool Schemas (17) ~342 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Compliance AIops.

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

activity_timeline

Event counts bucketed by hour or day

list_frameworks

Supported frameworks + control counts

coverage_summary

Per-control covered/weak/uncovered for ONE framework

control_evidence

Evidence rows + population + a reproducible query for ONE control

Documentation Overview

Compliance AIops

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 ~/.<tool>-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)

ToolPurpose
list_audit_sourcesDiscovered sibling audit DBs (path, tool, readable, row count)
query_audit_eventsCross-tool event query — filter by tool/skill/status/risk/approved/selector/since/until
activity_timelineEvent counts bucketed by hour or day
list_frameworksSupported frameworks + control counts
coverage_summaryPer-control covered/weak/uncovered for ONE framework
control_evidenceEvidence rows + population + a reproducible query for ONE control
gap_analysisControls with no/weak evidence + honest caveat + remediation
approval_reportHigh-risk write ops + who approved + rationale (the CC8.1 / PCI 7-8 / HIPAA §312(a) artifact)
exceptions_reportDenied / error / budget_exceeded ops — enforcement + anomaly evidence
verify_source_chainChain head + row-id gap detection for one source
verify_bundleVerify a sealed bundle: chain + seal head + optional signature
list_bundlesBundles under ~/.compliance-aiops/bundles/
oscal_assessment_resultsA sealed bundle as a NIST OSCAL 1.2.3 Assessment Results document, inline, with its limitations named
bundle_schedule_hintReady-to-paste cron line + non-interactive command for periodic sealing (writes nothing)

Write / artifact (3 — no external mutation)

ToolRiskPurpose
generate_evidence_bundlelowOne call: coverage + approval trail + exceptions + sealed records → a bundle .json
export_bundlelowRender a bundle to markdown / csv / json / oscal
sign_bundlemediumHMAC over the seal using the stored signing key

The CLI exposes a convenience subset; the full 19-tool surface is available over MCP.

Frameworks & controls

FrameworkSample controls (strength)
HIPAA (§164.312)164.312(b) Audit controls (strong), 164.312(a)(1) Access control (strong), 164.312(c)(1) Integrity (strong)
PCI-DSS v4.010.2 Audit log content (strong), 10.3 Protect audit logs (strong), 7-8 Least privilege / authn (partial)
SOC 2 TSCCC6.1 Logical access (strong), CC7.2 Monitoring (strong), CC8.1 Change management (strong)
GDPRArt.30 Records of processing (partial), Art.32 Security of processing (strong)
ISO/IEC 27001:2022 (Annex A)A.5.15 Access control (strong), A.5.16 Identity mgmt (strong), A.5.18 Access rights (partial), A.8.2 Privileged access (partial), A.8.15 Logging (strong), A.8.16 Monitoring (strong), A.8.32 Change management (strong)
等保2.0 (DJCP L3) (GB/T 22239-2019 三级)8.1.5.4 安全审计 (strong), 8.1.4.2 访问控制 (partial), 8.1.5 安全管理中心/集中审计 (strong)

Install

bash
uv tool install compliance-aiops      # or: pipx install compliance-aiops

Quick start

As a Claude Code plugin

One install gives an agent both the skill and the MCP server:

Code
/plugin marketplace add AIops-tools/marketplace
/plugin install compliance-aiops@aiops-tools

The MCP server is fetched with uv and pinned to the package version this plugin declares, so an audit row can be traced back to the code that wrote it. Credentials are still configured with compliance-aiops init — see below.

As an OpenClaw plugin

The same bundle is published on ClawHub, where one install delivers the skill and its MCP server together:

bash
openclaw plugins install clawhub:@zw008/compliance-aiops
openclaw skills info compliance-aiops          # expect: Visible to model: yes

Restart the OpenClaw gateway afterwards so it loads the plugin. The MCP server is fetched with uv, pinned to this exact release, so uvx has to be on PATH — without it the skill still installs but reports Visible to model: no. Credentials are configured exactly as below.

As a CLI or standalone MCP server

bash
compliance-aiops init                 # discover sibling ~/.*-aiops/audit.db, set org name, optional signing key
compliance-aiops doctor               # which sibling audit DBs are present/readable
compliance-aiops overview             # audit sources + per-framework covered/total
compliance-aiops report coverage soc2 # per-control SOC 2 coverage
compliance-aiops bundle generate soc2 # sealed evidence bundle → ~/.compliance-aiops/bundles/
compliance-aiops bundle verify <path> # re-verify the chain + seal (+ signature)

Run as an MCP server (stdio):

server.ts
export COMPLIANCE_AIOPS_MASTER_PASSWORD=...   # only needed to unlock a signing key
compliance-aiops mcp                          # or: compliance-aiops-mcp

Where that password then lives: an exported variable is readable by every process this shell starts and is recorded by shell history. On a shared or long-lived host, prefer the interactive prompt, or inject it from a secret manager for the life of the one command that needs it.

定期封存 (scheduled sealing)

Evidence bundles are most useful when sealed on a cadence (e.g. weekly), so each period has a tamper-evident anchor. This tool ships no daemon — instead bundle schedule prints a ready-to-paste cron line plus the exact non-interactive command, and writes nothing:

bash
compliance-aiops bundle schedule soc2 --cron "0 2 * * 1" --period 7d --sign

It returns a cronLine you paste into crontab -e, for example:

cron
0 2 * * 1 compliance-aiops bundle generate soc2 --period 7d --sign
  • --period (also available on bundle generate) is a convenience relative window — 7d, 24h, 2w, or last-7-days — resolved to a since/until pair ending "now", so each scheduled run seals the trailing window.
  • Export COMPLIANCE_AIOPS_MASTER_PASSWORD in the cron job's environment so a stored signing key unlocks non-interactively. Do not inline the real password in the crontab file — reference it from a protected env file.

Integrity & honest limits

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit
22d ago
Most recent push to the default branch.
Tools exposed
17
Callable tools this server registers over MCP.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Compliance AIops

We don't have a confirmed install command for Compliance AIops yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/AIops-tools/Compliance-AIops) for the current steps.

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Technical Specs & Signals

Category🔒Security
More technical detailsExpand ▾
Last updatedSep 2, 2026
5/7 checks healthy over the last 45d
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Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
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Adoption & activity4/15
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