Dry-Run & Audit Log

mcp-unifi’s two safety primitives are dry-run (preview a destructive op without applying it) and the audit log (a JSONL record of every tool call, with secrets scrubbed). Together they give you a “look before you leap, then check what just happened” loop that other UniFi MCP servers don’t have.

Dry-run

Every destructive tool accepts dry_run: bool = False. When True, the tool computes the change it would apply, returns it as JSON, and does not write to the controller.

There are 30 dry-run-aware tools across the Network module and 5 in the Protect module. Read-only tools (list, get, observability, audit) don’t need dry-run; they never write.

Example: create_vlan(dry_run=True)

{
  "dry_run": true,
  "controller": "default",
  "would_create": {
    "name": "iot",
    "vlan": 50,
    "ip_subnet": "10.50.0.0/24",
    "purpose": "corporate",
    "dhcpd_enabled": true,
    "dhcpd_start": "10.50.0.100",
    "dhcpd_stop": "10.50.0.200"
  },
  "summary": "Would create VLAN 'iot' (id=50, subnet=10.50.0.0/24) on controller 'default'"
}

Re-issue the call with dry_run=False (or omit it) to apply.

Composite dry-runs

Composites like create_iot_network and provision_homelab_service return the full multi-step preview with placeholder IDs:

{
  "dry_run": true,
  "controller": "default",
  "would_create": {
    "network": { "name": "iot", "vlan": 50, "..." },
    "wlan":    { "name": "iot-wifi", "network_id": "<dry-run-network-id>", "..." },
    "rule":    { "name": "Block iot to LAN", "src_networkconf_id": "<dry-run-network-id>", "..." }
  },
  "summary": "Would create IoT network + SSID + isolation rule on controller 'default'"
}

Composites guarantee that real applies (with dry_run=False) roll back on partial failure. If step 2 fails, step 1 is undone before the error returns. The response includes partial and rolled_back keys describing exactly what was undone.

Audit log

Every tool call lands in a JSONL audit log. One line per call, regardless of success or failure. The audit decorator wraps tool registration so every tool body is captured uniformly.

Record shape

{
  "ts": "2026-05-15T13:42:07.123Z",
  "tool": "create_vlan",
  "controller": "default",
  "args": {
    "name": "iot",
    "vlan_id": 50,
    "subnet": "10.50.0.0/24"
  },
  "success": true,
  "latency_ms": 87,
  "stub_mode": false,
  "dry_run": false,
  "result_shape": { "kind": "ok", "ids": ["65f..."] }
}

Field notes:

• ts: UTC, ISO 8601 with milliseconds.
• args: any field name containing passphrase, api_key, x_passphrase, password, or secret is replaced with "<scrubbed>" before emission. The original kwargs are never written to the log.
• latency_ms: end-to-end tool latency including controller round-trip in real mode.
• result_shape: structured summary (success/error kind, returned IDs) — not the full response body.

Configure the sink

Env var	Default	What it does
MCP_UNIFI_AUDIT_SINK	file	One of file, stdout, syslog.
MCP_UNIFI_AUDIT_PATH	audit.jsonl	File path when SINK=file.
MCP_UNIFI_AUDIT_SYSLOG_ADDRESS	/dev/log	Socket path or host:port when SINK=syslog.

Replay

The package ships an mcp-unifi-replay console script that re-issues calls from a JSONL log. Useful for:

• Migrations: capture an audit from controller A, replay against controller B to converge state.
• Reproducing test scenarios: capture a buggy session locally, replay it in CI against the stub backend.
• Disaster recovery drill: confirm that a saved audit can rebuild your config end-to-end.

# Replay every call in the log against the configured controllers
mcp-unifi-replay audit.jsonl

# Filter to one tool
mcp-unifi-replay audit.jsonl --tool create_vlan

# Replay against a specific controller (overrides the per-call value)
mcp-unifi-replay audit.jsonl --controller home

Replay skips entries with success: false by default and honors dry_run exactly as captured. Pass --apply to force dry_run=False on replay (useful when the original capture was a planning session).

Why this matters

The design assumption: the LLM will propose changes that need a second look, and you will want a forensic trail when something goes sideways at 11 pm. Dry-run lets the model and the human cooperate on a preview before any mutation. The audit log makes “what did Claude touch?” a one-grep question, and mcp-unifi-replay makes those captures executable against any controller.