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MinIO AIops

by AIops-toolsversion 0.15.0i★ –iRuns on your computer
Registry nameio.github.AIops-tools/minio-aiops

Install

Overview

Description from the maker (original English)

Governed MinIO ops: capacity RCA, exposure audit, ILM, WORM retention, IAM, healing, 48 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: Other

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

Run this in your terminal

claude mcp add minio-aiops -- uvx minio-aiops

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "minio-aiops": {
      "command": "uvx",
      "args": [
        "minio-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": {
    "minio-aiops": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "minio-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 Otheri

  • More stars than 0% of the other 32709 servers in this category
  • Published to the registry more recently than 80% of the other 32709 servers in this category
  • Basic checks equal to or better than 100% of the other 32709 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 MinIO 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 (0.15.0) 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: Spec Driven Development, Remote Desktop Commander, SwarmMemo

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

SwarmMemo

by Hugo0

Talk with agent swarms: rooms, private messages and paid tasks for AI agents

Runs in the cloudUpdated today
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.

MinIO 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 MinIO, Inc. or any storage vendor. Product and trademark names belong to their owners. MIT licensed.

Governed AI-ops for MinIO object storage — for the homelab and small/medium self-hosted deployments where MinIO actually lives. Talks to the S3 API (official minio SDK, SigV4), the admin API (bucket quota, server info), the unauthenticated health endpoints (/minio/health/live|ready|cluster), and the cluster metrics endpoint (/minio/v2/metrics/cluster, bearer-token or public auth) — with a built-in governance harness: a unified audit log, a token/runaway budget guard, undo-token recording, and a descriptive risk tier on every audit row. Self-contained: no external skill-family dependency.

What it does

Four flagship analyses, plus the guarded reads and writes around them:

  • `capacity_rca` — capacity vs used, offline drives/nodes, per-drive hotspots and imbalance → each finding as cause + suggested action (nearfull/full thresholds are named constants, not magic).
  • `bucket_exposure_audit` — every bucket scored and ranked for anonymous/public policy statements (read and, far worse, write), missing default encryption, versioning off, no lifecycle.
  • `lifecycle_gap_analysis` — the storage ILM should be reclaiming but isn't: versioned buckets with no noncurrent expiry (old bytes accrue forever), incomplete multipart uploads with no abort rule (invisible space), large buckets with no lifecycle — with a clearly-labelled reclaimable estimate.
  • `healing_health` — heal backlog and per-erasure-set write-quorum risk: how many more drive failures each set can tolerate, which sets are healing, where heal errors are piling up.
  • Governed writes. Bucket policy / versioning / lifecycle / quota changes capture the real prior state and record an undo descriptor; bucket_delete is refused unless the bucket is verifiably empty (including versions and delete markers) and remove_incomplete_uploads only touches uploads older than a safety window.

What works

  • CLI (minio-aiops ...): init, overview, doctor, health check/status, capacity rca/usage, heal status/drives/nodes, bucket ls/info/objects/audit/ilm-gap/uploads plus guarded writes (bucket versioning-set/policy-set/lifecycle-set/quota-set/purge-uploads/delete), secret set/list/rm/migrate/rotate-password, mcp. Destructive commands take --dry-run and double-confirm.
  • MCP server (minio-aiops mcp or minio-aiops-mcp): the full 48 tools (29 read, 19 write), every one wrapped with the bundled @governed_tool harness. The CLI is a convenience subset; the MCP surface is the whole tool. CLI writes delegate to the same governed functions, so they are audited identically.
  • Encrypted credentials: the secret key lives in an encrypted store ~/.minio-aiops/secrets.enc (Fernet + scrypt) — never plaintext on disk. Unlock with a master password from MINIO_AIOPS_MASTER_PASSWORD (MCP/CI) or an interactive prompt (CLI).
  • Metrics auth, both modes: servers running MINIO_PROMETHEUS_AUTH_TYPE=public are scraped directly; for the default (jwt) mode the bearer token is derived from the stored credentials — no extra secret to manage.
  • Reversibility: reversible writes capture prior state and record an inverse undo descriptor (prior policy JSON, prior lifecycle XML, prior versioning state, prior quota).

Capability matrix (48 MCP tools)

GroupToolsCountR/W
Healthhealth_live, health_ready, health_cluster, cluster_status, fleet_overview5read
Capacitycapacity_rca (flagship), usage_by_bucket2read
Healinghealing_health (flagship), drive_status, node_status3read
Exposure / ILMbucket_exposure_audit (flagship), lifecycle_gap_analysis (flagship)2read
Bucketsbucket_ls, bucket_info, bucket_policy_get, bucket_lifecycle_get, bucket_versioning_get, bucket_quota_get, object_ls, incomplete_uploads_ls, server_info9read
Writesset_bucket_policy (med, undo), delete_bucket_policy (med, undo), set_versioning (med, undo), set_lifecycle (med, undo), delete_lifecycle (med, undo), set_bucket_quota (med, undo)6write
bucket_delete (high, dry-run, empty-only, irreversible), remove_incomplete_uploads (med, dry-run, priorState only)2write
Object lock (WORM)bucket_lock_config, object_lock_status, diagnose_retention_gaps (flagship)3read
bucket_create (med, undo — the only way to enable object lock), set_default_retention (high, undo), clear_default_retention (med, undo), set_legal_hold (med, undo)4write
set_object_retention (critical, dry-run, extend-only, no undo exists)1write
IAMiam_users, iam_groups, iam_policies, diagnose_iam_exposure (flagship)4read
create_user (med, undo, secret redacted + never returned), set_user_status (med, undo), attach_user_policy (med, undo), detach_user_policy (med, undo) — all refused for this tool's own credential4write
remove_user (high, dry-run, no undo: MinIO keeps no recoverable secret)1write
Undoundo_list, undo_apply2read + replay

Totals: 48 tools — 29 read (incl. `undo_list`), 19 write (incl. `undo_apply`).

What this tool does, and does not, decide

It delivers MinIO object-storage 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 access key you connect it with: give the key a read-only IAM policy and the writes fail at the server — 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 ~/.minio-aiops/audit.db, and reversible writes still capture their real prior state and record an inverse undo descriptor.

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.

Running a smaller / local model? See agent-guardrails.md — it lists the guardrails this tool enforces for you (so you don't spend prompt budget restating them) and gives a ready-made system prompt for what's left.

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 minio-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 minio-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/minio-aiops

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

minio-aiops init # wizard: endpoint + access key; secret key stored encrypted minio-aiops doctor # live/ready + S3 auth + metrics reachability minio-aiops overview # health + capacity headline + exposure headline minio-aiops capacity rca # why is storage filling up, and what to do minio-aiops bucket audit # ranked bucket-exposure findings

Run as an MCP server (stdio):

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

minio-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.

MCP client config
{

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

Env-block caveat: MCP clients launch the server **without a TTY and

without your shell profile**, so the master password cannot be prompted for

and an export in ~/.zshrc is not seen — it must be passed in the client's

env block (or the client process's environment) as above. Everything else

(targets, TLS, region, metrics mode) comes from ~/.minio-aiops/config.yaml

written by minio-aiops init.

Configuration

~/.minio-aiops/config.yaml (non-secret connection details only):

targets:
  • name: lab1 host: 192.0.2.10 port: 9000 access_key: minio-ops # identifies the account; NOT the secret secure: true # https (false for plain-http labs) verify_ssl: true # false for self-signed lab certs region: "" # optional metrics_public: false # true when MINIO_PROMETHEUS_AUTH_TYPE=public

The secret key is stored with minio-aiops secret set lab1 (encrypted; a legacy MINIO_LAB1_SECRET_KEY env var is honoured as a fallback with a migration warning).

Governance

Every MCP tool passes through the bundled @governed_tool harness:

  • Audit — every call (params, outcome summary, status, duration, risk tier, and any MINIO_AUDIT_APPROVED_BY / MINIO_AUDIT_RATIONALE annotations) is logged to ~/.minio-aiops/audit.db (relocatable via MINIO_AIOPS_HOME).
  • Budget / runaway guard — token and call budgets trip a circuit breaker. A safety backstop, not authorization.
  • Risk-tier labelling — each tool's declared risk_level is recorded on the audit row as a descriptive tier (bucket_delete is high). It is a label for the reviewer, not a gate: there is no read-only switch, policy file, or approval gate, and MINIO_AUDIT_APPROVED_BY / MINIO_AUDIT_RATIONALE are optional annotations recorded when set, never required.
  • Undo recording — reversible writes record an inverse descriptor built from the captured prior state.

Supported scope & limitations

  • Deployments: any reasonably current MinIO server (single-node or distributed/erasure-coded) reachable over its S3 port. Admin features (quota, server_info) need admin-capable keys. Generic S3 services are not a target: the health/metrics/admin surfaces used here are MinIO-specific.
  • Metrics: the capacity/healing RCAs read the v2 cluster metrics endpoint; both public and bearer-t

Only the beginning is shown; read the rest in the repo

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