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Datadog MCP

作者:tantiope版本 1.0.9i★ –i在你的电脑上运行
注册名称io.github.TANTIOPE/datadog-mcp

安装

概览

作者提供的说明(英文原文)

Full Datadog API access: monitors, logs, metrics, traces, dashboards, and observability tools

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具
  • 你需要填写:DD_API_KEY, DD_APP_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: DD_API_KEY, DD_APP_KEY, DD_SITE

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "datadog": {
      "command": "npx",
      "args": [
        "-y",
        "datadog-mcp"
      ],
      "env": {
        "DD_API_KEY": "your-value",
        "DD_APP_KEY": "your-value",
        "DD_SITE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add datadog --env DD_API_KEY=your-value --env DD_APP_KEY=your-value --env DD_SITE=your-value -- npx -y datadog-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "datadog": {
      "command": "npx",
      "args": [
        "-y",
        "datadog-mcp"
      ],
      "env": {
        "DD_API_KEY": "your-value",
        "DD_APP_KEY": "your-value",
        "DD_SITE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "datadog": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "datadog-mcp"
      ],
      "env": {
        "DD_API_KEY": "your-value",
        "DD_APP_KEY": "your-value",
        "DD_SITE": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • DD_API_KEY 机密 必填 env
    Datadog API key
  • DD_APP_KEY 机密 必填 env
    Datadog Application key
  • DD_SITE env
    Datadog site (e.g., datadoghq.com, datadoghq.eu, us3.datadoghq.com)

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 tantiope 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 5548 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 5548 个服务器的 2% 更新
  • 基础检查结果等于或优于此分类中其他 5548 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Datadog MCP 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:DD_API_KEY, DD_APP_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.0.9)于11个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

作者:github广泛使用★ 3.4万5天前更新

电脑或云端

Desktop Commander

MCP server for terminal commands, file operations, and process management

作者:wonderwhy-er广泛使用↓ 71万/周★ 1万17天前更新

在你的电脑上运行

Cloudflare MCP

Cloudflare MCP servers

作者:cloudflare广泛使用★ 444614个月前更新

在云端运行✓ mcp.cloudflare.com

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Datadog MCP Server

DISCLAIMER: This is a community-maintained project and is not officially affiliated with, endorsed by, or supported by Datadog, Inc. This MCP server utilizes the Datadog API but is developed independently.

MCP server providing AI assistants with full Datadog observability access. Features grep-like log search, APM trace filtering with duration/status/error queries, smart sampling modes for token efficiency, and cross-correlation between logs, traces, and metrics. Supports both stdio (local) and http (remote/Kubernetes) transports.

Quick Start

Minimal Claude Desktop / VS Code / Cursor config — just the two required keys:

{

"mcpServers": { "datadog": { "command": "npx", "args": ["-y", "datadog-mcp"], "env": { "DD_API_KEY": "your-api-key", "DD_APP_KEY": "your-app-key" } } } }

With optional tuning (EU site, custom default limits, longer log windows):

{

"mcpServers": { "datadog": { "command": "npx", "args": ["-y", "datadog-mcp"], "env": { "DD_API_KEY": "your-api-key", "DD_APP_KEY": "your-app-key", "DD_SITE": "datadoghq.eu", "MCP_DEFAULT_LIMIT": "50", "MCP_DEFAULT_LOG_LINES": "200", "MCP_DEFAULT_METRIC_POINTS": "1000", "MCP_DEFAULT_TIME_RANGE": "24" } } } }

To run as an HTTP server (e.g. inside a container or Kubernetes pod), add transport variables to the same env block:

"env": {

"DD_API_KEY": "your-api-key", "DD_APP_KEY": "your-app-key", "MCP_TRANSPORT": "http", "MCP_PORT": "3000", "MCP_HOST": "0.0.0.0" }

Configuration

Required environment variables
DD_API_KEY=your-api-key

DD_APP_KEY=your-app-key

Optional environment variables
DD_SITE=datadoghq.com  # Default. Use datadoghq.eu for EU, etc.

Limit defaults (fallbacks when the AI doesn't specify)

MCP_DEFAULT_LIMIT=50 # General tools default limit MCP_DEFAULT_LOG_LINES=200 # Logs tool default limit MCP_DEFAULT_METRIC_POINTS=1000 # Metrics timeseries data points MCP_DEFAULT_TIME_RANGE=24 # Default time range in hours

Transport (alternative to CLI flags — useful in Kubernetes)

MCP_TRANSPORT=stdio # stdio | http MCP_PORT=3000 # HTTP port MCP_HOST=0.0.0.0 # HTTP host

Optional flags
--site=datadoghq.com     # Datadog site (overrides DD_SITE)

--transport=stdio|http # Transport mode (default: stdio) --port=3000 # HTTP port when using http transport --host=0.0.0.0 # HTTP host when using http transport --read-only # Block all write operations --disable-tools=synthetics,rum,security # Comma-separated list of tools to disable

Transports

TransportWhen to useEndpoints
stdio (default)Local MCP clients — Claude Desktop, Cursor, VS Coden/a (process stdin/stdout)
httpRemote / container / KubernetesPOST /mcp · GET /mcp (SSE) · DELETE /mcp · GET /health

Select with --transport=http or MCP_TRANSPORT=http.

Deployment

Docker
{

"mcpServers": { "datadog": { "command": "docker", "args": [ "run", "-i", "--rm", "-e", "DD_API_KEY", "-e", "DD_APP_KEY", "-e", "DD_SITE", "ghcr.io/tantiope/datadog-mcp" ], "env": { "DD_API_KEY": "your-api-key", "DD_APP_KEY": "your-app-key", "DD_SITE": "datadoghq.com" } } } }

Kubernetes

Use environment variables — not container args — for transport configuration:

env:
  • name: DD_API_KEY value: "your-api-key"
  • name: DD_APP_KEY value: "your-app-key"
  • name: MCP_TRANSPORT value: "http"
  • name: MCP_PORT value: "3000"
  • name: MCP_HOST value: "0.0.0.0"

Note: Kubernetes args: replaces the entire Dockerfile CMD, causing Node.js to receive the flags instead of your application. Environment variables avoid this issue.

Tools

ToolActionCategoryDescriptionRequired Scopes
monitorslistAlertingList monitors with optional filtersmonitors_read
monitorsgetAlertingGet monitor by IDmonitors_read
monitorssearchAlertingSearch monitors by querymonitors_read
monitorscreateAlertingCreate a new monitor; config is validated against a typed schema covering documented options (notifyNoData, renotifyInterval, thresholds, …) — unknown keys surface in warnings. Pass dry_run: true to validate without creating (uses /api/v1/monitor/validate, allowed in read-only mode).monitors_write
monitorsupdateAlertingUpdate an existing monitor; same validated schema as create; partial configs accepted; validation errors short-circuit before any HTTP call as EINVALID_MONITOR_CONFIG:monitors_write
monitorspreviewAlertingRender a monitor template (inline message or by monitor_id/id) with optional context of variables and conditionals. Returns {rendered, variablesUsed, variablesMissing, conditionalsResolved, tagConditionalsResolved}. Supports Datadog Mustache subset: variable substitution + six documented conditionals (is_alert, is_warning, is_no_data, is_recovery, is_alert_to_warning, is_warning_to_alert) + tag conditionals {{#is_match "tag" "val"}}/{{#is_exact_match "tag" "val"}} (and ^ negations); {{#each}}/partials throw EUNSUPPORTED_TEMPLATE_SYNTAX. Read-only.monitors_read
monitorstest_notificationAlertingKnown limitation: returns ENOT_SUPPORTED — Datadog has no public REST endpoint for triggering a test notification. Documentation pointer in response.n/a
monitorsdeleteAlertingDelete a monitormonitors_write
monitorsmuteAlertingMute a monitormonitors_write
monitorsunmuteAlertingUnmute a monitormonitors_write
monitorstopAlertingTop N monitors by alert frequency with real monitor names and context breakdown. WARNING: total_count includes renotifies/re-evaluations (Datadog emits a renotify event every renotify_interval minutes while Alert). For real fires use action=history.monitors_read
monitorshistoryAlertingCount and list real state transitions for one monitor over a time window. Filters by transitionType (default ["alert","alert recovery"] — fires+recoveries, excludes renotifies) and optional group. Returns {transitions: [...], count, meta} where count is the number of real transitions (e.g. for one always-Alert burn-rate monitor over 7d: 98 raw events vs 38 real transitions).monitors_read, events_read
dashboardslistVisualizationList all dashboardsdashboards_read
dashboardsgetVisualizationGet dashboard by IDdashboards_read
dashboardscreateVisualizationCreate a new dashboarddashboards_write
dashboardsupdateVisualizationUpdate a dashboarddashboards_write
dashboardsdeleteVisualizationDelete a dashboarddashboards_write
logssearchLogsSearch logs with query syntax and filterslogs_read_data, logs_read_index_data
logsaggregateLogsAggregate log data with groupBylogs_read_data
logs_pipelineslist, getLogs ConfigInspect log processing pipelines and their processorslogs_read_config
logs_pipelinescreate, update, delete, reorderLogs ConfigAuthor pipelines and processor chainslogs_write_config
logs_pipelinesget_orderLogs ConfigRead pipeline evaluation orderlogs_read_config
logs_indexeslist, getLogs ConfigInspect indexes (filter, retention, Flex tier, exclusion filters); create/delete are UI-only per Datadog and not exposedlogs_read_config
logs_indexesupdate, reorderLogs ConfigUpdate index filter/retention/quota and reorder evaluationlogs_write_config
logs_indexesget_orderLogs ConfigRead index evaluation orderlogs_read_config
logs_archiveslist, getLogs ConfigInspect log archives (S3 / GCS / Azure destinations); per-provider credential fields are forwarded unchangedlogs_read_archives
logs_archivescreate, update, delete, reorderLogs ConfigManage archive destinations; destination.type validated against `s3gcsazure_storage` before SDK calllogs_write_archives
logs_archivesget_orderLogs ConfigRead archive evaluation orderlogs_read_archives
metricsqueryMetricsQuery timeseries data. Response meta includes rollupRequested (parsed from rollup(method, seconds), with methodInferred flag), rollupEffective (interval derived from returned pointlist intervals + deduped intervalsObserved for multi-series), and rollupOverridden: boolean so callers can detect when Datadog silently downsampled.metrics_read, timeseries_query
metricssearchMetricsSearch for metrics by namemetrics_read
metricslistMetricsList active metricsmetrics_read
metricsmetadataMetricsGet metric metadatametrics_read
tracessearchAPMSearch spans with filtersapm_read
tracesaggregateAPMAggregate trace dataapm_read
tracesservicesAPMList APM servicesapm_service_catalog_read
eventslistEventsList eventsevents_read
eventsgetEventsGet event by IDevents_read
eventscreateEventsCreate an eventevents_read
eventssearchEventsSearch events with v2 API and cursor pagination. Optional transitionType filter (e.g. ["alert","alert recovery"]) restricts to monitor state-transition events — without it, source:alert includes renotifies. For monitor-specific fires use monitors action=history. Optional timezone adds *Local ISO 8601 siblings to every timestamp. Zero-result responses include a diagnostics array hinting at the cause (UNINDEXED_TAG_PREFIX, NARROW_TIME_RANGE, RESTRICTIVE_SOURCE_FILTER).events_read
eventshistogramEventsServer-side bucketing of events by hour_of_day, day_of_week, or day_of_month in an IANA timezone (DST-safe via Intl.DateTimeFormat). Accepts the same transitionType filter as search so monitor histograms can exclude renotifies. Cursor-paginates the underlying search; cap at limits.maxEventsForHistogram (default 5000, MCP_MAX_EVENTS_HISTOGRAM env var). When the cap is hit, returns bucketCountIncomplete: true and nextCursor for continuation.events_read
eventsaggregateEventsClient-side aggregation by monitor_name, source, etc.events_read
eventstopEventsTop N event groups by count with generic groupBy support (deployments, configs, alerts, etc.). Groups without context tags are included as "no_context"events_read

| events | timeseries | Events | Time-bucketed alert

只显示了开头部分;其余内容请在仓库中阅读

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