compliance-aiops
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@compliance-aiopsGenerate HIPAA evidence bundle for last week's audit events."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.dbfiles 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
strongorpartial.gap_analysissays 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). ThechainHeadis reproducible for the same (framework, period, sources).verify_bundlecatches tampering;verify_source_chaindetects 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 reproduciblechainHeadis asserted, and tamper tests confirm detection. No live infrastructure needed.
Related MCP server: TrustAtom MCP Server
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 |
| Discovered sibling audit DBs (path, tool, readable, row count) |
| Cross-tool event query — filter by tool/skill/status/risk/approved/selector/since/until |
| Event counts bucketed by hour or day |
| Supported frameworks + control counts |
| Per-control covered/weak/uncovered for ONE framework |
| Evidence rows + population + a reproducible query for ONE control |
| Controls with no/weak evidence + honest caveat + remediation |
| High-risk write ops + who approved + rationale (the CC8.1 / PCI 7-8 / HIPAA §312(a) artifact) |
| Denied / error / budget_exceeded ops — enforcement + anomaly evidence |
| Chain head + row-id gap detection for one source |
| Verify a sealed bundle: chain + seal head + optional signature |
| Bundles under |
| Ready-to-paste cron line + non-interactive command for periodic sealing (writes nothing) |
Write / artifact (3 — no external mutation)
Tool | Risk | Purpose |
| low | One call: coverage + approval trail + exceptions + sealed records → a bundle |
| low | Render a bundle to markdown / csv / json |
| medium | HMAC over the seal using the stored signing key |
The CLI exposes a convenience subset; the full 18-tool surface is available over MCP.
Frameworks & controls
Framework | Sample 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 v4.0 | 10.2 Audit log content (strong), 10.3 Protect audit logs (strong), 7-8 Least privilege / authn (partial) |
SOC 2 TSC | CC6.1 Logical access (strong), CC7.2 Monitoring (strong), CC8.1 Change management (strong) |
GDPR | Art.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
uv tool install compliance-aiops # or: pipx install compliance-aiopsQuick start
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):
export COMPLIANCE_AIOPS_MASTER_PASSWORD=... # only needed to unlock a signing key
compliance-aiops mcp # or: compliance-aiops-mcp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:
compliance-aiops bundle schedule soc2 --cron "0 2 * * 1" --period 7d --signIt returns a cronLine you paste into crontab -e, for example:
0 2 * * 1 compliance-aiops bundle generate soc2 --period 7d --sign--period(also available onbundle generate) is a convenience relative window —7d,24h,2w, orlast-7-days— resolved to a since/until pair ending "now", so each scheduled run seals the trailing window.Export
COMPLIANCE_AIOPS_MASTER_PASSWORDin 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
Tamper-EVIDENT, not tamper-PROOF. The hash chain and optional signature let an auditor detect alteration; they do not prevent it. The source
audit.dbfiles remain the system of record — record thechainHeadout-of-band if you need an independent anchor.Operating effectiveness vs. design. An audit trail strongly evidences that a control ran (samples, approvals, denials) but only partially evidences that a control is designed / configured correctly (e.g. MFA required, least-privilege roles). Every control carries a
strong/partiallabel andgap_analysissurfaces the caveat rather than overclaiming.
Supported scope & limitations
Evidence, not certification. This produces auditor-ready evidence bundles; it does not issue attestations, opinions, or certifications.
In scope: the six frameworks above, over the
audit_logtrails written by governed AIops tools discovered via~/.*-aiops/audit.db.Not in scope: it does not scan infrastructure, connect to any platform, or replace a GRC platform. For platform operations use the other AIops-tools.
OSCAL export is v0.2. v0.1 emits JSON + Markdown + CSV.
Interfaces may change before v1.0.
Verification: the integrity claims are covered by deterministic offline tests; see
docs/VERIFICATION.mdfor the reproducible run.
Missing a capability?
Want another framework, control mapping, export format (OSCAL, CSV shape), or a verification you don't see here? Open an issue or a PR — contributions welcome.
Maintenance
Related MCP Servers
- AlicenseAqualityCmaintenanceEnables AI agents to sign decisions with post-quantum cryptographic proofs and maintain secure audit trails for compliance. It provides tools for stamping events, verifying chain integrity, and exporting audit data across industries like finance and healthcare.Last updated477MIT
- AlicenseAqualityBmaintenanceProvides cryptographic signing and verification for AI decisions to generate verifiable, Ed25519-signed receipts for compliance and auditing. It automatically maps AI actions to regulatory frameworks like HIPAA and SOX with high-performance, sub-3ms signing.Last updated4MIT
- Flicense-qualityCmaintenanceAn MCP-powered compliance copilot for SaaS stacks, enabling structured audit workflows including stack detection, module wiremapping, implementation directives, code verification, and security/infrastructure/legal readiness gates.Last updated
- Flicense-qualityDmaintenanceEnables authorized compliance verification and security auditing through natural language, bridging AI assistants with industry-standard security tools for enterprise audits.Last updated24
Related MCP Connectors
Runtime AI governance: decision gates, human approval, hash-chained audit, compliance mapping.
KYC, KYB, AML, wallet screening, transaction monitoring, and fraud workflows for AI agents.
Bitcoin-anchored, tamper-evident audit log for AI agents — record, disclose and verify actions.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/AIops-tools/Compliance-AIops'
If you have feedback or need assistance with the MCP directory API, please join our Discord server