프로토타입 · 미리 보기: 공식 레지스트리의 모든 서버를 담고 있으며 30분마다 동기화해요. 리뷰와 계정 기능은 다음 단계에서 열려요.
PopNx MCPAI를 쓰는 사람을 위한 MCP 서버 · 쉬운 말로 설명해요

OLVM AIops

제작자: AIops-tools버전 0.7.2i★ –i내 컴퓨터에서 실행
레지스트리 이름io.github.AIops-tools/olvm-aiops

설치

개요

제작자가 쓴 설명(영어 원문)

Governed OLVM / oVirt 4.5 ops — 18 MCP tools: inventory, health, capacity, diagnosis; audited.

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 내 컴퓨터에서 실행
  • 전송 방식: stdio
  • 카테고리: 클리닉 및 건강

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

  • 기본 점검: 1개 중 1개 통과
  • 내 컴퓨터에서 내 사용자 계정의 권한(파일, 네트워크, 앱)으로 실행돼요.
  • 레지스트리에 입력해야 할 키가 나와 있지 않아요.

필요한 것

  • PyPIPython의 uv 설치(uvx 명령어용)

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요

{
  "mcpServers": {
    "olvm-aiops": {
      "command": "uvx",
      "args": [
        "olvm-aiops"
      ]
    }
  }
}

터미널에서 이 명령어를 실행하세요

claude mcp add olvm-aiops -- uvx olvm-aiops

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "olvm-aiops": {
      "command": "uvx",
      "args": [
        "olvm-aiops"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "olvm-aiops": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "olvm-aiops"
      ]
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 AIops-tools 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • – 해당 없음

    엔드포인트 응답

    내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요

  • – 해당 없음

    OAuth로 로그인

    내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요

클리닉 및 건강 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 866개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 866개 중 88%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 866개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

OLVM AIops, 안전한가요?

해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.7.2)은 3일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: Mirobody, FHIR MCP Server, Google Health MCP

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

Mirobody

제작자: thetahealth

Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.

내 컴퓨터에서 실행★ 1,408Apache-2.05일 전 업데이트
설치

FHIR MCP Server

제작자: wso2

MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications

내 컴퓨터에서 실행★ 137Apache-2.08일 전 업데이트
설치

Google Health MCP

제작자: davidmosiah

Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents

내 컴퓨터에서 실행★ 79MIT4개월 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

OLVM AIops

Audit availability: Real writes require a committed pending audit row and stop before contacting the platform if storage is unavailable. Reads and previews may continue with a warning; new audit rows store outcome summaries rather than full responses.

Disclaimer: Community-maintained open-source project. Not affiliated with, endorsed by, or sponsored by Oracle or the oVirt project. "Oracle", "Oracle Linux" and "oVirt" are trademarks of their owners. MIT licensed.

AI-powered operations for Oracle Linux Virtualization Manager (OLVM) and oVirt 4.5, over the engine REST API, with a built-in governance harness — an audit log that MCP and CLI calls both write to, a token/runaway budget guard, and descriptive risk tiers. Built for teams that run OLVM (often next to another hypervisor platform) and want an agent to answer "what needs attention?" with evidence from the engine, not guesses. Built on httpx and the MCP SDK, not on the pycurl-based engine SDK.

Read-only in this release: inventory, health, capacity and diagnosis.

Engine actions are asynchronous — the engine answers complete long before a

VM or host reaches its target state — so write tools are held back until each

can confirm its own outcome. Do NOT use for XCP-ng — use xcpng-aiops. Do NOT

use for Proxmox VE — use proxmox-aiops.

What this tool does, and does not, decide

It reads an OLVM / oVirt engine accurately and records every call. It does not decide what an agent may change — that belongs to the engine account you connect it with. Give that account a read-only role (such as ReadOnlyAdmin) and the engine itself enforces it.

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 ~/.olvm-aiops/audit.db.

Running a smaller / local model? See agent-guardrails.md for what the tool already guarantees and a ready-made system prompt for the rest.

What it answers

QuestionToolCLI
Is the engine itself healthy — certificates, backups, clock?engine_health_rcaolvm-aiops engine health
What is wrong with my hosts?host_health_rcaolvm-aiops host health
Is storage about to stop the engine creating disks?storage_capacity_rcaolvm-aiops storage capacity
Why is this VM paused / not responding?vm_health_rcaolvm-aiops vm health
How many VMs and configured vCPUs are on this engine, and what is their ratio to host cores?vm_capacity_summaryolvm-aiops vm capacity
What happened recently? What is new since I last looked?event_listolvm-aiops event list
What long-running operations failed?job_listolvm-aiops job list --status failed
Inventorydatacenter_list, cluster_list, host_list/host_get, storage_domain_list/storage_domain_get, vm_list/vm_get, vm_statsdatacenter, cluster, host, storage, vm

18 MCP tools: 16 reads and diagnoses, plus the harness's undo_list / undo_apply (which have nothing to undo in a read-only release).

vm_list accepts a one-based page (CLI: olvm-aiops vm list --page 2). Keep the same limit and search, then follow nextPage until it is null. Each response includes page, returned, limit, truncated, and total: null: the engine has no atomic total-count field. The tool orders by VM name unless the search already specifies sortby; it adds an explicit asc direction to bare sorts because live OLVM 4.5.5 engines returned an empty page without it. Agents should request no more than 20 rows per call: a large MCP response can be clipped before the model sees its continuation metadata. oVirt paging is stateless, so concurrent VM changes can still duplicate or omit rows across requests; do not claim an exact fleet total from a changing inventory.

vm_capacity_summary walks VM pages within the server and returns only aggregates: VM count, configured vCPUs, physical host cores and assignment ratio. If a page limit, duplicate ID, missing CPU topology or truncated host inventory prevents a supported total, complete is false and affected totals are null. snapshotConsistent is always false: a completed walk is not an atomic engine snapshot.

Each diagnosis ranks findings worst first; every finding carries the measured signal, a cause, an action and an explicit rank. Transient states are not reported as failures: a host the engine is installing or rebooting is "in progress", alert 9000 on a host without fencing hardware is informational, and an event the host, VM or data center has since recovered from is marked superseded. Events older than 24 hours (events_window_hours) are history, not findings, and every warning-or-worse event inside the window lands in exactly one diagnosis — engine-wide alerts such as certificate expiry and missing backups included.

Built from a live engine, not from the docs

Every read was written against, and every fixture captured from, a live Oracle Linux Virtualization Manager 4.5.5-1.73.el9 engine with Keycloak enabled. Things that engine does, which this tool accounts for:

  • counts, sizes and flags arrive as JSON strings, timestamps as epoch-ms numbers;
  • an attached storage domain has no status in /storagedomains — status is read from each data center's storage-domain collection;
  • /jobs refuses any search and returns jobs oldest first, so jobs are sorted here;
  • the time search on events is unusable (formats return all or nothing), while from= is an exact cursor — hence after_index and a client-side since_minutes;
  • the cursor sorted newest first returns the newest events above it and skips the rest, so after_index reads oldest first;
  • /ovirt-engine/services/health answers without a login, and a data center's old status alerts stay in the log after it recovers;
  • login events print the SSO session id, which is redacted before events are returned.

Quick start

As a Claude Code plugin

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

/plugin marketplace add AIops-tools/marketplace

/plugin install olvm-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 olvm-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:

openclaw plugins install clawhub:@zw008/olvm-aiops

openclaw skills info olvm-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
uv tool install olvm-aiops

olvm-aiops init # wizard: engine URL, username with profile, CA file, encrypted password olvm-aiops doctor # verify config, encrypted store, login and engine version olvm-aiops host health # first diagnosis

init writes ~/.olvm-aiops/config.yaml (non-secret connection details) and stores the password encrypted in ~/.olvm-aiops/secrets.enc. Example:

targets:
  • name: engine1 url: https://olvm-engine.example.com # the Administration Portal origin (FQDN) username: admin@ovirt@internalsso # admin@internal on engines without Keycloak ca_file: /etc/pki/olvm-engine-ca.pem # engine CA; keeps verify_ssl on timeout: 30 # seconds per request; raise for busy engines

The username includes its profile. Engine-setup enables Keycloak by default since 4.5.1, which makes the admin admin@ovirt@internalsso; engines without Keycloak use admin@internal. Download the engine CA from https:// /ovirt-engine/services/pki-resource?resource=ca-certificate&format=X509-PEM-CA and connect by FQDN — the engine certificate does not cover its IP address.

For non-interactive use (MCP server, CI, cron) export the master password so the store can be unlocked without a prompt:

export OLVM_AIOPS_MASTER_PASSWORD='your-master-password'

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.

MCP client config
{

"mcpServers": { "olvm-aiops": { "command": "uvx", "args": ["--from", "olvm-aiops", "olvm-aiops-mcp"], "env": { "OLVM_AIOPS_MASTER_PASSWORD": "your-master-password" } } } }

Env-block caveat: MCP clients launch the server with a minimal

environment — your shell profile's exports are not inherited. Put

OLVM_AIOPS_MASTER_PASSWORD (and, if you use them, OLVM_AIOPS_HOME /

OLVM_AIOPS_CONFIG / OLVM_AUDIT_APPROVED_BY) in the env block above,

or the encrypted store cannot be unlocked and every tool returns a teaching

error.

Managing secrets
olvm-aiops secret set engine1          # prompts hidden for the account password

olvm-aiops secret list # names only, values never shown olvm-aiops secret rm engine1 olvm-aiops secret rotate-password # re-encrypt under a new master password olvm-aiops secret migrate # import a legacy plaintext .env, then retires it

A legacy plaintext env var OLVM_ _PASSWORD is still honoured as a fallback with a deprecation warning (migrate with olvm-aiops secret migrate).

Governance

Every MCP tool passes through @governed_tool, and every CLI command calls the MCP tool of the same name. It records; it does not authorize.

  • Audit — every call (tool, params with secrets redacted, result, status, duration, risk tier, and any operator-supplied approver/rationale) lands in ~/.olvm-aiops/audit.db (relocate with OLVM_AIOPS_HOME).
  • Budget / runaway guard — a safety backstop, not an authorization gate: cumulative call and wall-time caps plus a tight-loop circuit breaker (OLVM_MAX_TOOL_CALLS, OLVM_MAX_TOOL_SECONDS, OLVM_RUNAWAY_MAX).
  • Risk tier — a descriptive label on the audit row derived from risk_level; it gates nothing.
  • Output hygiene — all engine-returned text is sanitized and bounded before it reaches the agent; SSO session ids in login events are redacted.

支持范围 / Supported scope

AreaReadWrite
Enginehealth diagnosis (health check, clock, certificates, backups)—
Hostslist / get / health diagnosis—
Storage domainslist / get (data-center-scoped status, capacity) / capacity diagnosis—
VMslist / get / statistics / health diagnosis—
Data centers, clusterslist—
Events, jobslist (severity, paging, after_index, since_minutes; job status)—

缺功能?(Missing something?) Coverage is intentionally focused. Open an issue or PR at github.com/AIops-tools/OLVM-AIops — feature requests, contributions, and comments are all welcome.

Scope & caveats

  • Verification status: every read and all four diagnoses were run end to end against a live OLVM 4.5.5 engine with one KVM host, an NFS data domain and one VM. A user has since run the read-only tools against a small production engine with 8 hosts and an FC data domain, and their results matched the engine's own API — includ

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