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Aufgaard

mcp-temurkhan13-aufgaard · by temurkhan13

Production AI Operations Suite — 7 MCPs + 13 skills + 6 hooks + 5 monitors. Catches dangerous bash, cost spikes, agent-config attacks, output-action divergence, silent cron failures, supply-chain risks, and unsafe upgrades. Operator cockpit for production AI.

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Install

$ agentstack add mcp-temurkhan13-aufgaard

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Aufgaard — Production AI Operations Suite

> Operator cockpit for production AI. 7 MCPs + 13 skills + 6 hooks + 5 monitors. Catches dangerous bash, cost spikes, agent-config attacks, output-action divergence, silent cron failures, supply-chain risks, and unsafe upgrades.

[](LICENSE)

What this is

A single Claude Code (and Cursor) plugin that wraps seven production-AI safety + observability MCP servers in a coherent operator experience: invocable skills, automatic safety hooks, background monitors that surface failures proactively, and specialized subagents for heavy work.

The seven MCPs:

| Server | Catches | |---|---| | silentwatch-mcp | Cron silent failures (exit-0 with empty output, length anomalies, retry storms) | | openclaw-health-mcp | Runtime deployment vitals — gateway, plugins, errors, OOM history | | openclaw-cost-tracker-mcp | Per-agent cost attribution + 429-window prediction across providers | | openclaw-skill-vetter-mcp | Malicious skills / agent-config attacks (CVE-class supply-chain risks) | | openclaw-upgrade-orchestrator-mcp | Upgrade regression risk (catalog of known-bad versions + provider-side drift detection) | | openclaw-output-vetter-mcp | Output-action divergence (agent claims vs actual state) + grounding failures | | bash-vet-mcp | LLM-emitted destructive shell commands (30 rules across 8 families) |

Install

Quick install (Claude Code, after marketplace listing)

/plugin install aufgaard

Local install (development / pre-marketplace)

git clone https://github.com/temurkhan13/aufgaard
cd aufgaard
claude --plugin-dir .

Cursor (after marketplace listing)

Open Cursor → Marketplace → search "Aufgaard" → Install.

What you get when activated

Visible by default — no invocation required:

  • 🟢 SessionStart auto-report: deployment health + yesterday's spend, surfaced the moment you open Claude Code
  • ⛔ PreToolUse hooks block dangerous bash + flag malicious agent-config files before they land
  • 🔔 Background monitors push notifications when 429 is imminent, when silent failures are detected, when known-regression upgrades land

Invocable on demand:

  • /aufgaard:production-audit — one-page 35-pattern audit calling all 7 MCPs in parallel
  • /aufgaard:cost-overview — current spend + 429 prediction + cheaper-routing recs
  • /aufgaard:vet-bash — vet a specific shell command before running
  • /aufgaard:should-i-upgrade — pre-upgrade safety check
  • /aufgaard:silent-failures — recent silent-failure detections from cron / scheduled jobs
  • /aufgaard:health-check — current deployment vitals
  • /aufgaard:verify-claim — verify an agent's "I did X" claim against actual state
  • ...and more (see [docs/skills.md](docs/skills.md))

How this fits into your workflow

The plugin's job is to give you eyes on what your production agents are doing — without you having to ask. Each session opens with a health summary. Dangerous bash gets blocked automatically. Cost spikes ping you before they become billing surprises. Malicious agent-config files in PRs get flagged before they activate.

For the full pattern catalogue (35 production-AI failure modes mapped to MCP coverage), get the Production-AI MCP Suite Bundle — includes the 8-page Field Reference PDF + Welcome.md decision tree.

Compatibility

  • Claude Code: native — install via /plugin install aufgaard or claude --plugin-dir
  • Cursor: native — same files, dual config dirs (.claude-plugin/ + .cursor-plugin/)
  • OpenClaw / Anthropic Console: inherits via Claude Code
  • Codex / Windsurf / Continue.dev: the underlying 7 MCPs work via MCP standard; full plugin support TBD

Underlying MCPs (also installable standalone)

If you only want one or two MCPs without the plugin packaging:

pip install silentwatch-mcp openclaw-health-mcp openclaw-cost-tracker-mcp \
            openclaw-skill-vetter-mcp openclaw-upgrade-orchestrator-mcp \
            openclaw-output-vetter-mcp bash-vet-mcp

Each MCP has its own GitHub repo with detailed README, test suite, and CI.

Status

v1.0 — in development (2026-05). This README documents the target shape. Tracking progress: see [IMPLEMENTATION-PLAN.md](IMPLEMENTATION-PLAN.md).

License

MIT — see [LICENSE](LICENSE). Use freely in your stack, fork it, ship under your own brand if helpful.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.