What is the first step when using this Grafana skill?

You should always start with datasource discovery using the list_datasources tool to find the specific UID for your Prometheus or Loki instances, as most other tools require this ID.

Can I use this skill to manage alerts?

Yes, you can list existing alert rules, filter them by labels like severity, and create new rules using defined query and condition chains.

What query languages are supported?

The skill provides full support for PromQL (Prometheus Query Language) for metrics and LogQL for Loki log analysis.

Does it support incident response workflows?

Absolutely. It includes tools to list active incidents, retrieve specific incident details, and check current on-call schedules for team members.

How does this skill handle large dashboard files?

It prioritizes context-efficient tools like get_dashboard_summary and get_dashboard_property to extract specific panel data or titles instead of downloading the heavy full dashboard JSON.

Grafana MCP Integrator

Name: Grafana MCP Integrator
Author: franroa

byfranroa

分析与监控

Interfaces with Grafana to query metrics, analyze logs, and manage dashboards or alerts through efficient observability workflows.

关于

This skill empowers Claude to interact directly with the Grafana ecosystem, providing advanced capabilities for observability and incident response. It streamlines workflows for discovering Prometheus and Loki datasources, searching and inspecting dashboards with context-efficient JSONPath queries, and performing complex log analysis. Whether you are troubleshooting performance bottlenecks, setting up new alert rules, or checking on-call schedules, this skill provides the specific patterns and toolsets needed to manage your monitoring stack directly within your development environment.

主要功能

Incident management and on-call schedule tracking integration
0 GitHub stars
Automated datasource discovery for Prometheus and Loki
Lightweight dashboard inspection using JSONPath extraction
Advanced Prometheus metrics querying with instant and range support
Loki LogQL query construction and log stream analysis

使用场景

Monitoring and managing alert rules and incident responses during outages
Troubleshooting application errors by correlating Loki logs with Prometheus metrics
Automating the creation and updating of Grafana dashboard panels via JSON patches

关于

主要功能

Incident management and on-call schedule tracking integration
0 GitHub stars
Automated datasource discovery for Prometheus and Loki
Lightweight dashboard inspection using JSONPath extraction
Advanced Prometheus metrics querying with instant and range support
Loki LogQL query construction and log stream analysis

使用场景

Monitoring and managing alert rules and incident responses during outages
Troubleshooting application errors by correlating Loki logs with Prometheus metrics
Automating the creation and updating of Grafana dashboard panels via JSON patches