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Datadog MCP Server

by peterlozano
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    • Datadog MCP Server

      bhayanak
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to interact with Datadog's observability platform via natural language, covering metrics, logs, APM, monitors, dashboards, incidents, and infrastructure.
      1,272 npm
      1
      MIT

    • datadog-mcp

      Vicks9070
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to query and manage Datadog observability data including metrics, logs, traces, and monitors through natural language. Supports read-only operations by default for security.
      MIT

    • Datadog MCP Server

      ppandrangi
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables interaction with Datadog APIs through natural language, supporting full CRUD operations on metrics, monitors, dashboards, logs, infrastructure, and more.
      4
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    • Datadog MCP Server

      TANTIOPE
      A
      license
      A
      quality
      D
      maintenance
      Enables AI assistants to access full Datadog observability, including log search, APM trace filtering, smart sampling, and cross-correlation between logs, traces, and metrics.
      23
      1,272 npm
      6
      Apache 2.0
    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 14 tools

    Disambiguation4/5

    Tools target distinct Datadog resources (metrics, monitors, traces, logs, hosts, dashboards, events, incidents), so overlap is low. Minor ambiguity between list_monitors and search_monitors, since both can retrieve monitors with filtering.

    Naming Consistency4/5

    Mostly consistent verb_noun style: list_*, get_*, search_*, query_*. The deviation is get_host_totals, which is noun-first rather than get_host_total/host resource style, but overall naming is readable and predictable.

    Tool Count5/5

    14 tools is well-scoped for a Datadog observability surface. Each tool covers a distinct Datadog domain and earns its place without excessive redundancy.

    Completeness3/5

    The server provides strong read/search coverage across metrics, monitors, traces, logs, hosts, dashboards, events, and incidents. However, it is almost entirely read-only: there are no create, update, delete, mute, or incident management operations, leaving notable lifecycle gaps.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources