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nks1097

Grafana MCP Server

by nks1097
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Python
Hybrid

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    C2.5/5.0

    Scored across 100 tools

    Disambiguation2/5

    Several tools overlap heavily: multiple query execution endpoints (executar_consulta, consultar_prometheus/loki/tempo/influxdb/sql, executar_consulta_painel), dashboard retrieval variants, and many broad 'gerenciar_*' tools compete with more specific CRUD tools. An agent can often infer intent, but the boundaries are unclear in many places.

    Naming Consistency4/5

    All tools use the grafana_ prefix and Portuguese snake_case verb_noun naming, making names readable and mostly predictable. The main deviations are varied verb choices such as gerenciar, consultar, executar, and diagnosticar, plus some long noun phrases, but the convention is not chaotic.

    Tool Count1/5

    100 tools is extreme for a single MCP server and far beyond a well-scoped set. Even for a broad Grafana domain, many endpoints could be consolidated, so the count creates substantial cognitive overhead.

    Completeness4/5

    Coverage spans dashboards, panels, datasources, queries, alerting, folders, reports, incidents, OnCall, SLOs, permissions, and audit, with lifecycle support for core Grafana workflows. Some secondary resources such as users, organizations, and plugins are read-mostly, but the gaps are relatively minor for the stated domain.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources