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  3. OLVM AIops
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OLVM 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 β€” check back soon.
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Governed OLVM / oVirt 4.5 ops β€” 17 MCP tools: inventory, health, capacity, diagnosis; audited.

Quick Install

Automated & IDE Setup

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

One-click editor setup isn’t available for this listing yet β€” 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 β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for OLVM 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 Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

OLVM AIops

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 β€” 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 β€” the engine answers complete long before a VM or host reaches its target state β€” so write tools are held back until each can confirm its own outcome. Do NOT use for XCP-ng β€” use xcpng-aiops. Do NOT use for Proxmox VE β€” 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 β€” 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 β€” 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
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

17 MCP tools: 15 reads and diagnoses, plus the harness's undo_list / undo_apply (which have nothing to undo in a read-only release).

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 β€” 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 β€” 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=<index> is an exact cursor β€” 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:

Code
/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 β€” 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/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 β€” 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
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:

yaml
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://<engine>/ovirt-engine/services/pki-resource?resource=ca-certificate&format=X509-PEM-CA and connect by FQDN β€” 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:

server.ts
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

config.json
{
  "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 β€” 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

server.ts
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_<TARGET_NAME_UPPER>_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 β€” 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 β€” 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 β€” a descriptive label on the audit row derived from risk_level; it gates nothing.
  • Output hygiene β€” all engine-returned text is sanitized and bounded before it reaches the agent; SSO session ids in login events are redacted.

ζ”―ζŒθŒƒε›΄ / Supported scope

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

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about OLVM AIops

We don't have a confirmed install command for OLVM AIops yet, so we don't publish a generated one β€” 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/OLVM-AIops) for the current steps.

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Technical Specs & Signals

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Last updatedSep 28, 2026
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Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

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