grafana-mcp-server
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- AlicenseAqualityAmaintenanceEnables agents to explore and operate Grafana by searching and reading dashboards and folders, querying datasources such as Prometheus, Loki and SQL, and inspecting alert rules and annotations. Its safe-by-default access modes gate dashboard and folder creation, editing and deletion behind escalating permission levels.11148 npm1MIT
- AlicenseBqualityCmaintenanceEnables AI assistants to interact with Grafana dashboards, datasources, alerts, incidents, and monitoring data through 43 comprehensive tools. Supports querying Prometheus metrics, Loki logs, managing incidents, and dashboard operations with full authentication support.43862 npm3MIT
- FlicenseAqualityBmaintenanceEnables assistants to read-only explore and analyze Grafana dashboards and data sources, execute queries against Prometheus and Azure Log Analytics, and run guided investigation workflows.72-
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TDQS
Scored across 6 tools
Each tool targets a clearly distinct action: listing datasources, querying SQL, querying metrics/logs, searching dashboards, fetching dashboards, and checking health. The only similar pair, query_sql and query_metrics, is explicitly disambiguated by datasource type in list_datasources.
All names use lowercase snake_case and mostly follow a verb_noun pattern: list_datasources, query_sql, query_metrics, search_dashboards, get_dashboard. The single outlier is health, which is a noun rather than a verb_noun name, but it is short and idiomatic enough not to cause confusion.
Six tools is a well-scoped size for a Grafana MCP server focused on querying data and reusing existing dashboards. Each tool has a distinct role, and there is no sense of bloat or an overly thin surface.
The set covers the full discovery-to-query workflow: identify datasources, run the appropriate query type, search for existing dashboards, extract panel queries, and diagnose auth/connectivity failures. For a read-oriented Grafana data exploration server, there are no obvious dead ends or missing critical operations.