MCP.Market

Compliance AIops MCP server

by AIops-tools·io.github.AIops-tools/compliance-aiops·v0.15.0

Compliance evidence from AIops audit trails: HIPAA/PCI/SOC2/GDPR, OSCAL export, 19 tools.

A91/100grade A
What users say
No reviews yet
Be the first
Safety scan
A91/100

not scanned yet

Adoption
Growing

0 stars145 downloads/wk

Reviews

Write one

Nobody has reviewed Compliance AIops yet.

If you have run it, two minutes of your experience saves the next person an afternoon.

Compliance AIops tools

No tool declarations could be read from the package source. They show once the server is installed.

Not scanned yet. New listings are scanned within a day or two of arriving.

How Compliance AIops compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
91/100
higher than 85% of 48,255 servers
Downloads a week
145
more than 70% of 12,191 servers with a package

Release history: 4 versions in the registry since 2026-09-15, latest 2026-10-30, typically one every 15 days.

Install Compliance AIops in Claude Code, Cursor or VS Code

claude mcp add compliance-aiops -- uvx compliance-aiops
Add to Cursor

What the publisher says

From the Compliance AIops repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.AIops-tools/compliance-aiops -->

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 ~/.-aiops/audit.db SQLite trails, all sharing one auditlog 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

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.

  • Framework mapping with honest evidence-strength — audit events map to

(hash = SHA-256(prevhash ‖ canonicaljson(record)), genesis prev = 64 zeros). The chainHead is reproducible for the same (framework, period, sources). verifybundle catches tampering; verifysource_chain detects row-id gaps / deletions in a source trail. An optional HMAC signature seals a bundle under a stored signing key.

  • Hash-chain-sealed evidence bundles — SHA-256 over ordered records

of the source trails. Bundles are the only thing written, under ~/.compliance-aiops/bundles/.

  • Zero-network, read-only — no credentials, no outbound calls, no mutation

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.

  • Deterministic, test-verified integrity — the integrity claims are

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)

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Compliance AIops: common questions

Is Compliance AIops MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the Compliance AIops safety report
How do I install Compliance AIops?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Compliance AIops need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Compliance AIops maintained?
The last commit was 49 days ago (2026-09-16). The latest release is v0.15.0.
What can I use instead of Compliance AIops?
Servers from other publishers that do the same job: SSH Manager MCP server and Tradememory Protocol MCP server.
How does Compliance AIops compare with other MCP servers?
safety score 91/100 (higher than 85% of 48,255 servers); downloads a week 145 (more than 70% of 12,191 servers with a package). Full comparison.

Alternatives to Compliance AIops

Same job from other publishers: the closest match first, then the best rated.

  • SSH Manager
    SSH for AI agents: commands, files, backups and health, with approval, a vault and an audit trail
    A
  • Tradememory Protocol
    Tamper-evident decision audit trail and outcome-weighted memory for AI trading agents.
    B

More from AIops-tools →