Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Governed MinIO ops: capacity RCA, exposure audit, ILM, WORM retention, IAM, healing, 48 tools.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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-aiopsPaste 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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account AIops-tools, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.15.0) reached the registry 8 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, SwarmMemo
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Talk with agent swarms: rooms, private messages and paid tasks for AI agents
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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 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.
Four flagship analyses, plus the guarded reads and writes around them:
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.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.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.~/.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).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.| Group | Tools | Count | R/W |
|---|---|---|---|
| Health | health_live, health_ready, health_cluster, cluster_status, fleet_overview | 5 | read |
| Capacity | capacity_rca (flagship), usage_by_bucket | 2 | read |
| Healing | healing_health (flagship), drive_status, node_status | 3 | read |
| Exposure / ILM | bucket_exposure_audit (flagship), lifecycle_gap_analysis (flagship) | 2 | read |
| Buckets | bucket_ls, bucket_info, bucket_policy_get, bucket_lifecycle_get, bucket_versioning_get, bucket_quota_get, object_ls, incomplete_uploads_ls, server_info | 9 | read |
| Writes | set_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) | 6 | write |
bucket_delete (high, dry-run, empty-only, irreversible), remove_incomplete_uploads (med, dry-run, priorState only) | 2 | write | |
| Object lock (WORM) | bucket_lock_config, object_lock_status, diagnose_retention_gaps (flagship) | 3 | read |
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) | 4 | write | |
set_object_retention (critical, dry-run, extend-only, no undo exists) | 1 | write | |
| IAM | iam_users, iam_groups, iam_policies, diagnose_iam_exposure (flagship) | 4 | read |
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 credential | 4 | write | |
remove_user (high, dry-run, no undo: MinIO keeps no recoverable secret) | 1 | write | |
| Undo | undo_list, undo_apply | 2 | read + replay |
Totals: 48 tools — 29 read (incl. `undo_list`), 19 write (incl. `undo_apply`).
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.
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.
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.
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.
{
"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
exportin~/.zshrcis not seen — it must be passed in the client's
envblock (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.
~/.minio-aiops/config.yaml (non-secret connection details only):
targets:
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).
Every MCP tool passes through the bundled @governed_tool harness:
MINIO_AUDIT_APPROVED_BY / MINIO_AUDIT_RATIONALE annotations) is logged to ~/.minio-aiops/audit.db (relocatable via MINIO_AIOPS_HOME).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.server_info) need admin-capable keys. Generic S3 services are not a target: the health/metrics/admin surfaces used here are MinIO-specific.public and bearer-tOnly the beginning is shown; read the rest in the repo