Arlet
Grafana Cloud

Use Grafana Cloud from your AI

Search dashboards, query Prometheus, Loki, Tempo and other data sources, manage alerts, incidents and on-call, and run Assistant investigations in Grafana Cloud through Grafana's official MCP server. Connect by signing in.

Enable Grafana Cloud in ArletGrafana Cloud official docs

Arlet makes Grafana's official MCP server available from the AI client you already use. Sign in to Grafana Cloud and choose read, query or write access to complete the connection.

The AI can search and read dashboards, query Prometheus, Loki, Tempo and other data sources, manage alerts, incidents and on-call, and run Assistant investigations. This covers Grafana Cloud stacks, and the available tools are those provided by Grafana's official server.

Choose your AI client

Pick the AI client you use to see how to connect it with Grafana Cloud.

What you can do

Tools the AI can call through the Grafana Cloud integration.

  • search_dashboards

    Search dashboards.

  • get_dashboard_summary

    Get a dashboard summary.

  • get_dashboard_panel_queries

    Get the queries behind panels.

  • update_dashboard

    Create or update a dashboard.

  • list_datasources

    List data sources.

  • query_prometheus

    Query Prometheus metrics.

  • query_loki_logs

    Query Loki logs.

  • query_loki_patterns

    Extract log patterns.

  • query_pyroscope

    Query Pyroscope profiles.

  • alerting_manage_rules

    Manage alert rules.

  • list_incidents

    List incidents.

  • create_incident

    Create an incident.

  • get_current_oncall_users

    Get who is on call now.

  • create_annotation

    Add an annotation.

  • create_investigation

    Start an Assistant investigation.

  • ask_assistant

    Ask Grafana Assistant a question.

The tool list follows what Grafana Cloud's official MCP server provides and may change.

Example uses

  • Read a dashboard

    Read a dashboard's panels and queries and explain the current state in words.

  • Correlate logs and metrics

    Confirm an error-rate spike in Prometheus and pull the matching Loki logs to narrow the cause.

  • Handle on-call

    Check who is on call, open an incident and leave annotations.

  • Tune alerts

    List existing alert rules and adjust thresholds or add new rules.

Prompts you can use as-is

  • Read the API Overview dashboard and summarize the current state
  • Find services whose error rate rose in the last 30 minutes in Prometheus and pull the matching error logs from Loki
  • Who is on call right now? Open an incident for the checkout outage
  • List the alert rules for the checkout service and add a p95 latency alert