Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
Beschreibung vom Entwickler (englisches Original)
Governed OLVM / oVirt 4.5 ops — 18 MCP tools: inventory, health, capacity, diagnosis; audited.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"olvm-aiops": {
"command": "uvx",
"args": [
"olvm-aiops"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add olvm-aiops -- uvx olvm-aiopsIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"olvm-aiops": {
"command": "uvx",
"args": [
"olvm-aiops"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"olvm-aiops": {
"type": "stdio",
"command": "uvx",
"args": [
"olvm-aiops"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto AIops-tools bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.7.2) kam vor 3 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Mirobody, FHIR MCP Server, Google Health MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
Audit availability: Real writes require a committed
pendingaudit 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
completelong 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.
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.
| Question | Tool | CLI |
|---|---|---|
| Is the engine itself healthy — certificates, backups, clock? | engine_health_rca | olvm-aiops engine health |
| What is wrong with my hosts? | host_health_rca | olvm-aiops host health |
| Is storage about to stop the engine creating disks? | storage_capacity_rca | olvm-aiops storage capacity |
| Why is this VM paused / not responding? | vm_health_rca | olvm-aiops vm health |
| How many VMs and configured vCPUs are on this engine, and what is their ratio to host cores? | vm_capacity_summary | olvm-aiops vm capacity |
| What happened recently? What is new since I last looked? | event_list | olvm-aiops event list |
| What long-running operations failed? | job_list | olvm-aiops job list --status failed |
| Inventory | datacenter_list, cluster_list, host_list/host_get, storage_domain_list/storage_domain_get, vm_list/vm_get, vm_stats | datacenter, 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.
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:
/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;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;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;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.
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.
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:
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.
{
"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 theenvblock above,
or the encrypted store cannot be unlocked and every tool returns a teaching
error.
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).
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.
~/.olvm-aiops/audit.db (relocate with OLVM_AIOPS_HOME).OLVM_MAX_TOOL_CALLS, OLVM_MAX_TOOL_SECONDS, OLVM_RUNAWAY_MAX).risk_level; it gates nothing.| Area | Read | Write |
|---|---|---|
| Engine | health diagnosis (health check, clock, certificates, backups) | — |
| Hosts | list / get / health diagnosis | — |
| Storage domains | list / get (data-center-scoped status, capacity) / capacity diagnosis | — |
| VMs | list / get / statistics / health diagnosis | — |
| Data centers, clusters | list | — |
| Events, jobs | list (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.
Nur der Anfang wird gezeigt; den Rest findest du im Repo