fabric-aiops 0.1.0

Governed AI-ops for Cisco Meraki network fabrics: uplink RCA, health scoring & config-drift with a built-in governance harness (audit, budget, undo, risk tiers)

Fabric AIops (preview)

Disclaimer: Community-maintained open-source project. Not affiliated with, endorsed by, or sponsored by Cisco, Meraki, or any network-controller vendor. "Cisco" and "Meraki" and all product/trademark names belong to their respective owners. MIT licensed.

Governed AI-ops for network fabrics managed through a cloud controller — starting with the Cisco Meraki Dashboard API (organizations → networks → devices) — with a built-in governance harness: unified audit log, policy engine, token/runaway budget guard, undo-token recording, and graduated-autonomy risk tiers. Multi-platform by construction: a registry keyed by platform means Catalyst Center or Arista CVP can be added later as additional platforms without touching the ops/CLI/MCP layers — Meraki is the one platform shipped in v0.1. Preview — mock-validated only, not verified against a live Meraki org.

What it does

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

• Uplink loss & latency RCA — pull MX WAN uplink loss + latency across an org, rank the worst uplinks by a composite of average loss and latency, and map each degraded uplink to a likely cause + recommended action. Every ranking carries its numbers, not a black-box verdict.
• Network health score — a composite 0-100 score per network from device online %, uplink health %, and an alert-severity penalty (weighted 0.5/0.3/0.2), with every component returned so the number is explainable.
• Config template drift — for networks bound to a config template, list the settings that have drifted from the template (expected vs actual).

What works

• CLI (fabric-aiops ...): init, overview, org, network, device, client, health, remediate, secret, doctor, mcp.
• MCP server (fabric-aiops mcp or fabric-aiops-mcp): 32 tools (24 read, 8 write), every one wrapped with the bundled @governed_tool harness.
• Encrypted credentials: the Meraki API key lives in an encrypted store ~/.fabric-aiops/secrets.enc (Fernet + scrypt) — never plaintext on disk. Unlock with a master password from FABRIC_AIOPS_MASTER_PASSWORD (MCP/CI) or an interactive prompt (CLI).
• Reversibility: mutating writes fetch the real before-state first and record a faithful inverse (update_device/update_network_vlan restore prior values; claim↔remove; bind↔unbind/rebind). Irreversible ops (reboot_device, blink_device_leds) record the prior state for audit but declare no undo.
• Safety: every state-changing CLI op supports --dry-run and requires double confirmation; every write MCP tool takes a dry_run preview.

Capability matrix (32 MCP tools)

Domain	Tools	Count	R/W
Overview	overview	1	read
Organizations	org_list, org_get, org_licensing, org_admins, org_device_statuses, org_api_requests	6	read
Networks	network_list, network_get, network_vlans, network_alerts, network_traffic	5	read
Devices	device_inventory, device_status, device_uplinks, switch_ports, wireless_ssids	5	read
Clients	client_list, client_get, client_usage, client_connectivity	4	read
Health (flagship)	uplink_loss_and_latency_rca, network_health_score, config_template_drift	3	read
Remediation	reboot_device, claim_devices_into_network, remove_device_from_network, bind_network_to_template, unbind_network_from_template	5	write (high)
	update_device, update_network_vlan	2	write (medium)
	blink_device_leds	1	write (low)

network_health_score and config_template_drift are injected-only (they score data you already hold); uplink_loss_and_latency_rca accepts injected records for offline analysis or pulls live from a configured target. Device models carry a product-type prefix: MX appliance, MS switch, MR wireless AP, MV camera, MG cellular gateway.

Quick start

uv tool install fabric-aiops              # or: pipx install fabric-aiops
fabric-aiops init                         # wizard: add a target + store the Meraki API key (encrypted)
fabric-aiops doctor                       # verify config, secrets, connectivity
fabric-aiops overview                     # one-shot fabric fleet health
fabric-aiops health uplink-rca            # rank worst MX WAN uplinks + cause/action
fabric-aiops device inventory --model MS  # switches in the org

Run as an MCP server (stdio):

export FABRIC_AIOPS_MASTER_PASSWORD=...   # unlock secrets non-interactively
fabric-aiops-mcp

Governance

Every MCP tool passes through the bundled @governed_tool harness:

• Audit — every call (params, result, status, duration, risk tier, approver, rationale) is logged to ~/.fabric-aiops/audit.db (relocatable via FABRIC_AIOPS_HOME).
• Budget / runaway guard — token and call budgets trip a circuit breaker.
• Risk tiers — graduated autonomy; high-risk ops can require a named approver (ENDPOINT_AUDIT_APPROVED_BY / ENDPOINT_AUDIT_RATIONALE — the env-var names the bundled harness reads).
• Undo recording — reversible writes record an inverse descriptor built from the fetched before-state.

Scope

This is the network-fabric / controller member of the AIops-tools family (governed AI-ops with audit + budget + undo + risk tiers). Do NOT use it for OT / industrial edge (Modbus, OPC-UA, PROFINET) — see the separate industrial-aiops line — nor for device-level CLI/SSH network automation.

Missing a capability?

Coverage is intentionally a curated subset of the Meraki Dashboard API. Missing a call, a device family, or want another controller platform (Catalyst Center, Arista CVP)? Open an issue or PR — contributions welcome.

Status

Preview — mock-validated only, not verified against a live Meraki org. The Dashboard API paths are modelled from the public API shape and need live verification. fabric-aiops doctor is the fastest live check.