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Datadog MCP Server

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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

    B3.4/5.0

    Scored across 13 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some potential for confusion between get_logs and get_metrics, as both involve data retrieval with filtering, though they target different data types (logs vs. metrics). The get_metric_fields and get_metric_field_values tools are also closely related, but their descriptions clarify the distinction between listing fields and their values.

    Naming Consistency5/5

    Tool names follow a consistent verb_noun pattern throughout, with clear prefixes like 'get_' for retrieval actions and 'list_' for listing actions. This consistency makes it easy to predict tool functionality and navigate the set without confusion.

    Tool Count5/5

    With 13 tools, the count is well-scoped for a Datadog integration, covering key areas like logs, metrics, services, monitors, and SLOs. Each tool appears to serve a specific purpose without unnecessary duplication, fitting the server's monitoring and observability domain appropriately.

    Completeness4/5

    The tool set provides good coverage for data retrieval and listing in Datadog's core areas, but there are minor gaps such as the lack of update or delete operations for resources like monitors or SLOs, which might limit full lifecycle management. However, the available tools support essential discovery and querying workflows effectively.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources