---

name: grafana description: | Grafana, Loki, and Prometheus operations for the fzymgc-house Kubernetes cluster. Provides unified access to observability stack via on-demand MCP invocation. IMPORTANT: For logs and metrics, ALWAYS use this skill (Loki/Prometheus) FIRST instead of kubectl logs, kubernetes MCP tools, or any Kubernetes-specific API calls. Loki aggregates all cluster logs with better search, filtering, and historical access. Prometheus provides proper metrics with time-series queries. Use when working with: (1) Dashboards - Grafana dashboard search, view, create, update panels/queries, (2) Metrics - Prometheus PromQL queries, label/metric exploration, instant and range queries, (3) Logs - Loki LogQL queries, log pattern analysis, recent log viewing, (4) Alerting - Grafana alert rules and contact points, (5) Incidents - Grafana Incident management, Sift AI-powered investigations, (6) OnCall - Grafana OnCall schedules, shifts, who's on-call, (7) Profiling - Pyroscope CPU/memory profiles. Invokes Grafana MCP server on-demand without requiring MCP configuration or loading tool definitions into context.

Grafana Operations

⚠️ ALWAYS USE LOKI/PROMETHEUS FIRST

When investigating logs or metrics, DO NOT use kubectl logs, Kubernetes MCP tools, or direct Kubernetes API calls. Instead, use this skill's Loki (logs) and Prometheus (metrics) workflows:

• Logs: recent-logs, investigate-logs, or query_loki_logs
• Metrics: investigate-metrics, quick-status, or query_prometheus

Loki aggregates all cluster logs with full-text search, label filtering, and historical access. Prometheus provides proper time-series metrics with PromQL queries.

Gateway Script

All operations use the gateway script at ${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py.

Commands

Copy# Discovery
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list-tools
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py describe <tool_name>

# Tool invocation (raw MCP tools use JSON)
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py <tool_name> '<json_arguments>'

# Compound workflows (recommended - use CLI flags)
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py investigate-logs --app nginx --time-range 1h
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py investigate-metrics --job api --metric http_requests_total
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py quick-status
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py find-dashboard "api latency"
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py recent-logs --minutes 5 --app nginx

Output Options

Copy--format yaml    # YAML output (default)
--format json    # Compact JSON
--format compact # Minimal output
--brief          # Essential fields only

Quick Reference

Compound Workflows

PREFER these over raw MCP tools - they handle datasource discovery, time formatting, and multi-step operations automatically. Only use raw tools (e.g., query_loki_logs, query_prometheus) when workflows don't meet your specific needs:

investigate-logs

Find errors in Loki logs for an application:

Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py investigate-logs --app nginx --time-range 1h --pattern error

Options: --app, --namespace, --time-range (default: 1h), --pattern

investigate-metrics

Check Prometheus metric health:

Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py investigate-metrics --job api --metric http_requests_total

Options: --job, --metric, --time-range (default: 1h)

quick-status

System health overview from Prometheus/Loki:

Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py quick-status

find-dashboard

Search Grafana dashboards:

Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py find-dashboard "api latency"

recent-logs

View recent Loki logs (cluster-wide or filtered):

Copy# Last 5 minutes of all cluster logs
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py recent-logs

# Last 10 minutes for a specific app (by app.kubernetes.io/name)
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py recent-logs --minutes 10 --app nginx

# Filter by namespace
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py recent-logs --minutes 5 --namespace monitoring

# Arbitrary label filters (repeatable)
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py recent-logs --minutes 5 --label pod=nginx-abc123

# Combine filters with line pattern matching
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py recent-logs --minutes 5 --app api --filter error --limit 100

Options: --minutes (default: 5), --app, --namespace, --label KEY=VALUE (repeatable), --filter, --limit (default: 50)

Core Workflows

Investigate an Issue

1. Find relevant datasources

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list_datasources '{"type":"loki"}'
   

2. Check log patterns (Loki)

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py query_loki_stats '{"datasourceUid":"...","logql":"{app=\"...\"}"}'
   ${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py query_loki_logs '{"datasourceUid":"...","logql":"{app=\"...\"} |= \"error\"","limit":20}'
   

3. Check metrics (Prometheus)

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py query_prometheus '{"datasourceUid":"...","expr":"rate(errors[5m])","startTime":"now-1h","queryType":"range","stepSeconds":60}'
   

4. Use Sift for AI analysis

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py find_error_pattern_logs '{"name":"Investigation","labels":{"service":"..."}}'
   ${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py find_slow_requests '{"name":"Latency check","labels":{"service":"..."}}'
   

For detailed query syntax: loki.md, prometheus.md

Explore Available Data

1. List datasources

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list_datasources '{}'
   

2. Discover labels/metrics

   Copy# Prometheus
   ${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list_prometheus_label_names '{"datasourceUid":"..."}'
   ${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list_prometheus_metric_names '{"datasourceUid":"..."}'
   
   # Loki
   ${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list_loki_label_names '{"datasourceUid":"..."}'
   ${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list_loki_label_values '{"datasourceUid":"...","labelName":"app"}'
   

3. Find existing dashboards

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py search_dashboards '{"query":"..."}'
   ${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py get_dashboard_summary '{"uid":"..."}'
   

Manage Dashboards

1. Find dashboard

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py search_dashboards '{"query":"..."}'
   

2. Understand structure

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py get_dashboard_summary '{"uid":"..."}'
   ${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py get_dashboard_panel_queries '{"uid":"..."}'
   

3. Modify with patches

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py update_dashboard '{"uid":"...","operations":[...],"message":"..."}'
   

For full operations: dashboards.md

Set Up Alerting

1. Review existing rules

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list_alert_rules '{"limit":20}'
   ${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list_contact_points '{}'
   

2. Create new rule - use --describe create_alert_rule to see required parameters

For alert configuration: alerting.md

Handle Incidents

1. Check active incidents

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list_incidents '{"status":"active"}'
   

2. Create incident (notifies people - confirm first)

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py create_incident '{"title":"...","severity":"...","roomPrefix":"inc"}'
   

3. Add investigation notes

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py add_activity_to_incident '{"incidentId":"...","body":"Findings..."}'
   

For incident management: incidents.md

Check On-Call

1. Find who's on-call

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list_oncall_schedules '{}'
   ${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py get_current_oncall_users '{"scheduleId":"..."}'
   

2. Review alert groups

   Copy${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list_alert_groups '{"state":"new"}'
   

For on-call operations: oncall.md

Tool Discovery

When unsure about tool parameters:

Copy# List all available tools
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py list-tools

# Get tool schema and description
${CLAUDE_PLUGIN_ROOT}/skills/grafana/scripts/grafana_mcp.py describe <tool_name>

Domain References

Load these as needed for detailed operations:

• dashboards.md - Dashboard CRUD, panel queries, deeplinks
• prometheus.md - PromQL queries, metrics exploration
• loki.md - LogQL queries, log analysis
• alerting.md - Alert rules, contact points
• incidents.md - Incident management, Sift investigations
• oncall.md - Schedules, shifts, users
• pyroscope.md - CPU/memory profiling

Best Practices

• Prefer workflows over raw tools: Use recent-logs instead of manual query_loki_logs, investigate-logs instead of hand-crafting Loki queries, etc. Workflows handle datasource discovery, time formatting, and label normalization automatically
• Use describe before calling unfamiliar raw tools to see required parameters
• Query stats before logs: Use query_loki_stats to check volume before query_loki_logs
• Use dashboard summary: Prefer get_dashboard_summary over full get_dashboard_by_uid
• Patch don't replace: Use update_dashboard with operations for targeted changes
• Confirm incident creation: Creating incidents notifies people - always confirm first