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MohamedSawahZC

newrelic-mcp

by MohamedSawahZC
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Python

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    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

    A3.5/5.0

    Scored across 10 tools

    Disambiguation4/5

    Tools are mostly distinct: nrql_query and nrql_batch_query overlap in purpose but are clearly differentiated by efficiency, and search_entities vs get_entity serve different stages of entity interaction. Other tools each target a unique domain (alerts, incidents, deployments, golden signals, error traces, throughput), leaving little ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (e.g., get_entity, search_entities, nrql_query). The two nrql tools deviate slightly from get_ but still maintain the same structural style, making the naming predictable and coherent.

    Tool Count5/5

    With 10 tools, the server covers a broad but focused set of New Relic operations—querying, entity discovery, alerting, performance metrics, and deployment info. This is well-scoped for a monitoring MCP server, neither too sparse nor overloaded.

    Completeness4/5

    The surface covers core read-only workflows: flexible NRQL querying, entity lookup, alert/incident awareness, and APM performance details. Minor gaps exist (e.g., no log-specific query but nrql_query handles it, no entity mutation), but for a read-only monitoring server, it covers the essential needs without dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources