Agent • Log Console • Analytics

Network truth.
Certified.

ANIP has evolved into a full AI operations suite: a central Agent console for service creation and certification, a live Log Console for operational evidence, and Analytics for network status, platform usage, and executive visibility.

AI-guided infrastructure certification, log intelligence, and analytics — built around real operational state.
Explore the SuiteView Screens
ANIP Agent services dashboard
3
Core ANIP applications
8
Connected MCP sources
46
Tracked platform queries
AI
Guided service creation

The ANIP Suite

ANIP is no longer just a dashboard. It is a working operational platform composed of three connected applications that turn infrastructure telemetry, logs, MCP tools, and AI analysis into a certifiable view of service health.

🤖

Agent

The central console where services are listed, certified, analyzed, edited, and created. Agent includes an AI-guided wizard that researches integrations, identifies credentials, recommends health rules, and builds MCP-backed services.

📟

Log Console

A live operational log interface for search, filtering, stats, and tailing. It gives ANIP raw evidence from syslog and infrastructure logs so AI analysis is grounded in actual events.

📊

Analytics

An executive and operator view of network status, platform analytics, MCP tool usage, skill hit rate, most common questions, uptime trends, and certification history.

Service certificationMCP healthAI service wizardLive syslogPlatform KPIsNetwork status cardsHealth rulesDocker build workflow

Agent: the control plane

Agent is the central ANIP console. It shows every monitored service, its certification state, health windows, uptime bars, degradation signals, and actions for analyze, certify, edit, or delete.

Agent services dashboard
Service dashboard. Certified services such as Media Server, Power Monitoring, Syslog Ingestion, Govee Lights, and VPN are displayed with health states, uptime history, and operational actions.
MCP connections
MCP connections. UniFi, Protect, Home Assistant, NAS, Google Sheets, Emporia, Analytics, and Syslog MCPs are monitored as connected data sources.

AI-guided service creation

ANIP Agent now includes a wizard that lets a user describe any service, device, or platform in plain English. AI researches the integration, detects required credentials, proposes health thresholds, generates connector code, builds the Docker container, verifies health, and adds the service to the certification dashboard.

Service wizard describe step
1. Describe. The user types a service such as Govee smart lights, Google Drive, Plex server, Pi-hole DNS, Synology NAS, Tailscale, Cloudflare Tunnel, or NordVPN.
Service wizard integration step
2. Integration. AI detects service identity, MCP naming, credentials, icons, and setup guidance such as access token instructions.
Service wizard health rules step
3. Health Rules. AI identifies metrics like VPN connection, latency, bandwidth usage, and API responding, then recommends healthy/degraded/down thresholds.
Service wizard review and build step
4. Review & Build. ANIP generates Python MCP server code, writes Dockerfile and compose entries, builds on the NAS, starts the container, verifies health, and adds the service.

Log Console: operational evidence

The Log Console provides live tailing, search, filters, severity breakdown, hostname and program targeting, quick filters, stats, and dashboard views. It turns raw network and system logs into searchable operational context for the rest of ANIP.

ANIP Log Console live tail
ANIP Log Consolelive evidence stream
LIVE TAIL → syslog, kernel, mcad, syswrapper, DHCP, firewall, offline events
FILTERS   → site, severity, hostname, program, message contains, time range
OUTPUT    → searchable operational proof for AI analysis and certification

Analytics: intuitive platform intelligence

Analytics now separates network health from platform analytics. Operators can see service cards and health posture while leadership can review query volume, tool usage, error rate, skill hit rate, common questions, and all-time usage.

Network status analytics
Network Status. Internet/WAN, WLAN health, camera systems, smart home, media, power, syslog, and lights are summarized as visual service cards with recent certification timestamps.
Platform analytics dashboard
Platform Analytics. Usage KPIs, MCP tool usage, skill hit rate, and most common user questions create visibility into how ANIP itself is being used.

How the pieces fit

ANIP uses MCP-backed services as the data plane, Agent as the certification and creation plane, Log Console as the evidence plane, and Analytics as the visibility plane. The result is a single operating picture across network, smart home, media, power, storage, logs, and portfolio data sources.

🔌

MCP data plane

Connected MCPs expose UniFi, Protect, Home Assistant, NAS, Google Sheets, Emporia, Analytics, and Syslog data to ANIP.

🧪

Certification engine

Services are evaluated with AI-selected metrics, thresholds, uptime windows, and pass/fail/degraded states.

🐳

Build pipeline

AI-generated MCP service code is packaged into Docker containers, deployed on the NAS, started, and verified.

🧠

AI assistant layer

ANIP Interactive AI Chat can answer operational questions using the available MCP tools, logs, and analytics context.

🟢

Health timeline

Services display 24-hour and 7-day status, uptime bars, degradations, down events, and last certification time.

📈

Executive KPIs

Query volume, tools per query, error rate, all-time count, skill hits, and common questions show platform adoption and value.

From telemetry to operational truth.

ANIP combines AI, MCP tools, live logs, health rules, service certification, and analytics into a working AI Network Intelligence Platform — built to show what is healthy, what is degraded, what changed, and why it matters.

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