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Grafana MCP Server

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    TDQS

    C2.8/5.0

    Scored across 80 tools

    Disambiguation3/5

    The tool set has clear distinctions in many areas, such as alert rules, dashboards, and datasources, but there is significant overlap in URL generation tools (e.g., generate_dashboard_url, generate_deeplink, generate_explore_url) and query-building tools (e.g., build_logql_query, build_prometheus_query), which could cause confusion. Additionally, tools like sensor_performance_verdict and fleet_verdict have similar purposes but differ in scope, potentially leading to misselection.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (e.g., create_alert_rule, delete_dashboard, list_datasources), which aids readability. However, there are minor deviations, such as annotate_test (verb_noun but with a suffix) and tools like ixia_set_rate or ixia_status that use a prefix, slightly breaking the pattern but not severely impacting consistency.

    Tool Count2/5

    With 80 tools, the count is excessive for a Grafana MCP server, making it overwhelming and difficult to navigate. While Grafana is a broad platform, the tool set includes many specialized or redundant tools (e.g., multiple URL generators and query helpers) that could be consolidated, indicating poor scoping and a heavy interface that may hinder agent usability.

    Completeness5/5

    The tool set provides comprehensive coverage for Grafana operations, including CRUD for dashboards, alert rules, and datasources, as well as advanced features like performance testing, diagnostics, and fleet management. There are no obvious gaps; it supports full lifecycle management, querying, monitoring, and integration with external systems like Prometheus and Loki, ensuring agents can handle diverse tasks without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues