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PopNx MCPMCP servers for people who use AI · explained in plain words

Ceph AIops

by AIops-toolsversion 0.14.0i★ –iRuns on your computer
Registry nameio.github.AIops-tools/ceph-aiops

Install

Overview

Description from the maker (original English)

Governed Ceph mgr ops: HEALTH_WARN RCA, OSD/PG/pool/RBD/CephFS/RGW, 37 tools.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Clinics & health

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add ceph-aiops -- uvx ceph-aiops

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account AIops-tools, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Clinics & healthi

  • More stars than 0% of the other 866 servers in this category
  • Published to the registry more recently than 76% of the other 866 servers in this category
  • Basic checks equal to or better than 100% of the other 866 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Ceph AIops safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.14.0) reached the registry 8 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Mirobody, FHIR MCP Server, Google Health MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Mirobody

by thetahealth

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

Runs on your computer★ 1,408Apache-2.0Updated 5 days ago
Install

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

Runs on your computer★ 137Apache-2.0Updated 9 days ago
Install

Google Health MCP

by davidmosiah

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

Runs on your computer★ 79MITUpdated 4 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Ceph 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 the Ceph project or any storage vendor. Product and trademark names belong to their owners. MIT licensed.

Governed AI-ops for Ceph — talks to a vanilla ceph-mgr Dashboard REST API (HTTPS :8443, username + password exchanged for a short-lived JWT at POST /api/auth) with a built-in governance harness: unified audit log, token/runaway budget guard, undo-token recording, and descriptive risk tiers. Works against stock ceph-mgr — cephadm, hypervisor-bundled Ceph, or MicroCeph — with no croit and no Kubernetes dependency. Self-contained: no external skill-family dependency.

What it does

The flagship analysis, plus the guarded reads and writes around it:

  • `cluster_health` — HEALTH_WARN/ERR root-cause analysis. Instead of echoing raw check codes (PG_DEGRADED, OSD_NEARFULL, SLOW_OPS, MON_DOWN, LARGE_OMAP_OBJECTS, …), it turns each *active* check into plain language: what it means, the likely cause, and the suggested next action. This is the differentiator vs the hobby Ceph MCPs that just proxy ceph -s.
  • Governed destructive ops. The operations operators actually fear — osd_purge, pool_delete, set_pool_size, rbd_image_delete — carry dry-run + double-confirm and a high risk tier; reversible tuning (osd_reweight, throttle_recovery, cluster_flag_set, pool quota/pg_num/ autoscale) records an undo descriptor capturing the prior state.

What this tool does, and does not, decide

It delivers Ceph operations — reads and writes — accurately and efficiently, and records every one of them. It does not decide whether a write is allowed to happen. That is the agent's judgement, or the permission of the account you connect it with: give it a ceph-mgr Dashboard account with a read-only role and the writes fail at the mgr — the place that actually owns the permission.

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 ~/.ceph-aiops/audit.db, and destructive writes still capture their before-state and record an inverse where one exists.

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 that a row was a high-risk delete. It

is a label, not a gate.

What works

  • CLI (ceph-aiops ...): init, overview, health detail/health status, osd tree/df/reweight/out/purge, secret set/list/rm/migrate/rotate-password, doctor, mcp. osd out and osd purge require --dry-run + double confirm.
  • MCP server (ceph-aiops mcp or ceph-aiops-mcp): the full 37 tools (17 read, 18 write, 2 undo), every one wrapped with the bundled @governed_tool harness. The CLI is a convenience subset; the MCP surface is the whole tool.
  • Encrypted credentials: the Dashboard password lives in an encrypted store ~/.ceph-aiops/secrets.enc (Fernet + scrypt) — never plaintext on disk. Unlock with a master password from CEPH_AIOPS_MASTER_PASSWORD (MCP/CI) or an interactive prompt (CLI).
  • Reversibility: reversible writes capture the prior state and record an inverse undo descriptor (e.g. osd_reweight → prior weight, set_pool_quota → prior quota, throttle_recovery → prior backfill/recovery settings).
  • Safety: destructive ops (osd_purge, osd_mark_out, pool_delete, set_pool_size, rbd_image_delete, rbd_snapshot_delete) are high risk with dry_run and CLI double confirmation.

Capability matrix (37 MCP tools)

GroupToolsCountR/W
Healthcluster_health (flagship RCA), cluster_status2read
OSDosd_tree, osd_df, osd_perf3read
cluster_flag_set (low, undo), osd_reweight (med, undo), osd_mark_in (med, undo)3write
osd_mark_out (high, dry-run), osd_purge (high, dry-run)2write
PGpg_summary, pg_dump_stuck, scrub_status3read
trigger_scrub (low), trigger_deep_scrub (low)2write
Poolpool_ls, pool_df2read
set_pool_quota (med, undo), set_pool_pg_num (med, undo), set_pool_autoscale (med, undo), pool_create (med)4write
set_pool_size (high, dry-run), pool_delete (high, dry-run)2write
RBDrbd_ls1read
rbd_image_create (med), rbd_snapshot_create (low)2write
rbd_image_delete (high, dry-run), rbd_snapshot_delete (high, dry-run)2write
CephFS / RGWcephfs_status, rgw_status2read
Cluster-opsmon_status, mgr_status, slow_ops, capacity_forecast4read
throttle_recovery (med, undo)1write
Undoundo_list, undo_apply2undo

Totals: 37 tools — 17 read, 18 write, 2 undo.

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 ceph-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 ceph-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/ceph-aiops

openclaw skills info ceph-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 ceph-aiops          # or: pipx install ceph-aiops

ceph-aiops init # wizard: add a mgr target + store the Dashboard password (encrypted) ceph-aiops doctor # JWT login + mgr-dashboard reachability ceph-aiops overview # HEALTH status + active checks + OSD up/in ceph-aiops health detail # decode the active HEALTH_WARN/ERR checks (RCA) ceph-aiops osd df # per-OSD utilization, most-full first, near/backfill-full flags

Run as an MCP server (stdio):

export CEPH_AIOPS_MASTER_PASSWORD=...   # unlock secrets non-interactively

ceph-aiops-mcp

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.

Governance

Every operation — MCP and CLI — passes through the bundled @governed_tool harness. It records; it does not authorize (see above).

  • Audit — every call (params, outcome summary, status, duration, risk tier, and any operator-supplied approver/rationale) is logged to ~/.ceph-aiops/audit.db (relocatable via CEPH_AIOPS_HOME). The CLI writes the same row the MCP path does — there is no unaudited entry point.
  • Runaway guard — a safety backstop, not an authorization gate: the same call hammered in a tight loop trips a circuit breaker so a stuck agent can't burn unbounded calls/time. Disable with CEPH_RUNAWAY_MAX=0; optional hard ceilings via CEPH_MAX_TOOL_CALLS / CEPH_MAX_TOOL_SECONDS.
  • Undo recording — reversible writes record an inverse descriptor built from the fetched before-state.
  • Risk tier — a descriptive label on the audit row derived from risk_level; it gates nothing.

Supported scope & limitations

  • Deployments: vanilla ceph-mgr with the dashboard module enabled — cephadm, hypervisor-bundled Ceph, or MicroCeph. No croit, no Kubernetes dependency.
  • Ceph has no ETag / pagination on the Dashboard API, so this tool exposes none — nothing is missing, the upstream API simply doesn't offer them.
  • Validation status: behaviour is exercised against mocked Dashboard responses by the test suite; multi-node rebalance and the write ops have not been run against a live cluster. The cheapest live check is a single-node MicroCeph (snap install microceph → bootstrap → loop-file OSDs) running ceph-aiops doctor; a 3-node Vagrant cluster exercises real rebalance behaviour. See docs/VERIFICATION.md for the full live-verification checklist.

Missing a capability?

RGW multisite, per-daemon config sprawl, NFS-Ganesha exports, orchestrator (cephadm) host management — not here yet. Open an issue or send a PR — feedback and contributions are welcome.

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