AIOps

    AIOps for
    Modern Infrastructure

    Stop hunting through dashboards. Ask the in-panel AI about any metric, compare servers in one sentence, and let your own AI agents drive Xitoring through the MCP server.

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    What is AIOps?

    AIOps (Artificial Intelligence for IT Operations) is the practice of applying machine learning and large language models to the operational data your infrastructure already produces — metrics, logs, traces, alerts, and incidents — to make humans faster and more accurate at running systems. Instead of pointing engineers at raw dashboards, an AIOps platform synthesizes signals across the fleet, surfaces what matters, and answers questions in plain language.

    In Xitoring, AIOps shows up in three concrete places. First, an in-panel AI assistant that sees your live metrics and answers questions like "why did api-prod-3 spike at 02:14?" with real numbers from your account. Second, AI-powered cross-server comparison that ranks hosts on any metric and explains the differences. Third, a Model Context Protocol (MCP) server that lets external AI agents — Claude, Cursor, custom agents — read and act on your monitoring data the same way a human operator would. Together they shorten the path from question to action.

    Key Features

    Everything you need for AIOps for Modern Infrastructure.

    In-Panel AI Assistant

    Chat with an AI that already sees your metrics, charts, hosts, and incidents. Ask about CPU spikes, disk trends, or last night's alert and get an answer grounded in your real data.

    Cross-Server Comparison

    Ask which servers are performing best, which are drifting, and why. The AI ranks hosts side-by-side on the metrics you care about and explains the gap.

    MCP Server for AI Agents

    Plug Xitoring into Claude, Cursor, or any MCP-compatible agent. Your agent can read metrics, check alerts, manage monitors, and take action — anything the Xitoring panel can do.

    Natural-Language Queries

    Ask in English instead of writing PromQL or SQL. "Show me the top 5 RAM-hungry hosts this week" returns a ranked chart with the relevant context.

    Context-Aware Recommendations

    The assistant knows your fleet shape, alert thresholds, and incident history — so its advice fits your environment instead of generic best practices.

    Always-On Insight

    The AI never sleeps. It surfaces patterns across your fleet — silent regressions, slow drifts, noisy alerts — so you find issues before customers do.

    From Dashboards to Conversations and Autonomous Agents

    AIOps in Xitoring turns observability into a conversation. The in-panel assistant answers questions in plain English. The MCP server lets your AI agents take action. Together they cut hours of dashboard hunting down to a single prompt.

    • In-panel AI chat over your live metrics
    • Ask in natural language — no PromQL required
    • Side-by-side server comparison with explanations
    • MCP server for Claude, Cursor & any MCP agent
    • Read and write — agents can manage monitors and alerts
    • Grounded in your account's real data, never hallucinated
    • Surfaces silent regressions and slow drifts
    • Built-in incident and alert history context
    • Private by default — no training on your data
    In-panel AI chat answering a question about server CPU usage
    AI comparing performance across multiple servers

    Who it's for

    AIOps Use Cases

    See how teams across industries use Xitoring to keep their infrastructure reliable.

    On-Call & Incident Response

    Ask the AI what changed in the last hour, which hosts are anomalous, and what likely caused the page. Cut MTTR by skipping the dashboard scavenger hunt.

    Capacity Planning

    "Which servers are running hot on memory this quarter?" The AI ranks hosts, projects trends, and flags the ones you'll need to resize first.

    Fleet Optimization

    Compare similar servers in seconds. Find the outliers — the slow disk, the misconfigured worker, the oversized VM — and act on them.

    DevOps Automation

    Wire Xitoring into your AI agent over MCP. Let it provision monitors during deploys, ack flapping alerts, and pull metrics into post-deploy checks.

    Executive Reporting

    Generate weekly fleet summaries in plain English — uptime, top incidents, biggest changes — without building a single new dashboard.

    Onboarding & Knowledge Sharing

    New engineers can ask the AI about your infrastructure instead of paging a senior. The answers are grounded in your real account, not generic docs.

    01

    Why AIOps Now

    Modern fleets emit more telemetry than any human can read. AIOps closes the gap: an AI that already sees your metrics, alerts, and incidents — and answers in plain English. Instead of clicking through dashboards, you ask a question and get a grounded, specific answer.

    • Cut MTTR by going straight from question to answer
    • Find silent regressions humans miss in the noise
    • Let the AI compare servers and explain the differences
    • Onboard new engineers without a senior on standby
    Why AIOps Now
    02

    Your Agents, Connected to Xitoring

    The Xitoring MCP server exposes the full panel API to AI agents that speak Model Context Protocol. Claude, Cursor, your custom agents — all can read metrics, query alerts, manage monitors, and trigger actions. Anything a human can do in Xitoring, an agent can do on their behalf.

    • Standard MCP — no custom SDK required
    • Read metrics, alerts, hosts, incidents, monitors
    • Create monitors, ack alerts, schedule maintenance
    • Scoped tokens so agents only touch what you allow
    Your Agents, Connected to Xitoring

    Built for Real Operations

    Grounded in Your Data

    Answers cite real metrics, real timestamps, and real hosts from your account. No hallucinated CPU numbers, no made-up incidents.

    Read & Write Access

    Through MCP, your AI agent can do more than answer questions — it can create monitors, ack alerts, schedule maintenance, and pull runbooks.

    Private by Default

    Your conversations and metrics stay inside your Xitoring tenant. No training on your data, no leakage to third parties.

    Going deeper?

    Anomaly Detection — Catch Incidents Before They Page You

    AIOps answers your questions. Anomaly Detection raises its hand when something looks off. See how Xitoring learns baselines, runs root cause analysis, and warns you ahead of incidents.

    See anomaly detection

    Frequently asked questions

    Common questions about AIOps for Modern Infrastructure.

    What is AIOps in Xitoring?
    AIOps in Xitoring is the set of AI-powered capabilities built into the platform: an in-panel chat assistant that answers questions about your live metrics, side-by-side AI comparison of servers, and an MCP server that lets external AI agents drive Xitoring. It turns observability into a conversation rather than a dashboard hunt.
    Does the in-panel AI assistant see my real data?
    Yes. The assistant is wired directly into your account's metrics, hosts, alerts, and incident history. Every answer references real data points and timestamps — no hallucinated CPU numbers or invented incidents.
    Can it compare servers for me?
    Yes. Ask which servers are performing best or worst on any metric — CPU, memory, disk I/O, network, response time — and the AI returns a ranked list with a short explanation of why each host lands where it does.
    What is the Xitoring MCP server?
    MCP (Model Context Protocol) is an open standard for connecting AI agents to external tools. Xitoring ships an MCP server that exposes the entire panel API — reading metrics, listing alerts, creating monitors, scheduling maintenance — so AI agents like Claude or Cursor can operate Xitoring on your behalf.
    Which AI clients work with the MCP server?
    Any MCP-compatible client. That includes Claude Desktop, Claude Code, Cursor, and any custom agent that speaks Model Context Protocol. There's no Xitoring-specific SDK to install.
    Can an AI agent change things in my Xitoring account?
    Yes, but only what you authorize. The MCP server uses scoped API tokens, so you can grant read-only access, limit write actions to specific monitors, or open it up to full management. The agent operates within those boundaries.
    Is my data used to train AI models?
    No. Your metrics, conversations, and account data are not used to train models. The in-panel assistant runs inside your tenant and only reads what's needed to answer the current question.
    Do I need anomaly detection separately?
    AIOps and Anomaly Detection are complementary. AIOps is about asking questions and giving agents control. Anomaly Detection continuously watches your metrics for unusual patterns and alerts before incidents — see the Anomaly Detection page for details.

    Talk to Your Infrastructure

    Open Xitoring, type a question, and get a real answer — backed by your live metrics, alerts, and incident history. No queries to memorize, no dashboards to assemble.

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