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如何将 Datadog 连接到 Claude — 通过 MCP

Query Datadog (metrics, logs, monitors, events, incidents, dashboards) from any AI agent. 8 tools, dual-key auth.

HCBy HelpCode teamUpdated 2 min read Open source on GitHub

No credit card · 7-day trial · Self-host alternative available

MCP connector

Datadog

Query Datadog (metrics, logs, monitors, events, incidents, dashboards) from any AI agent. 8 tools, dual-key auth.

Tools

8

Region

INTL

Category

monitoring

Authentication

Required env vars

DATADOG_API_KEYDATADOG_APP_KEY
Install in one click on Cloud

7-day free trial · No credit card

  • 7-day free trial
    No credit card required
  • GDPR & SOC 2 ready
    EU data residency, audit logs
  • Open-source on GitHub
    Source-available BSL-1.1
  • Works with ChatGPT, Claude, Gemini
    Any MCP-compatible client

No install? Use cloud.anythingmcp.com directly.

Sign in, install the Datadog in one click, paste the credentials, mint an MCP API key — done. No Docker, no git clone, no local server to run.

Open Cloud

💡 无需安装? 直接使用 cloud.anythingmcp.com 登录、点击 Connectors → Datadog、粘贴凭证、生成 MCP API key — 完成。无 Docker、无 git clone、无本地服务器。

Datadog + Claude

Query Datadog (metrics, logs, monitors, events, incidents, dashboards) from any AI agent. 8 tools, dual-key auth.

前提条件

完整的设置说明已内置在连接器中 (在 store 中选择连接器时可见)。所需环境变量:

DATADOG_API_KEY, DATADOG_APP_KEY

步骤 1 — 获取凭证

This connector wraps the Datadog REST API v1/v2 (api.datadoghq.com).

Setup:

  1. In your Datadog org → Personal Settings → Organization Settings → API Keys → create or copy an API key. Set DATADOG_API_KEY.
  2. Organization Settings → Application Keys → create an application key with at least monitors_read, logs_read_data, dashboards_read, events_read scopes. Set DATADOG_APP_KEY.
  3. Site matters: Datadog has multiple regions: US1 (datadoghq.com — default), US3 (us3.datadoghq.com), US5 (us5.datadoghq.com), EU1 (datadoghq.eu), AP1 (ap1.datadoghq.com), US1-FED (ddog-gov.com). If your org is on a non-US1 site, change baseUrl accordingly.

步骤 2 — 安装 adapter

git clone https://github.com/HelpCode-ai/anythingmcp.git
cd anythingmcp && docker compose up -d

步骤 3 — 在 Claude 中添加连接器

推荐路径 — 在 claude.ai web 上工作,无需触碰任何配置文件。

  1. 打开 claude.ai/customize/connectors
  2. 点击 "Add custom connector"
  3. 填入:
    • Name: Datadog
    • URL: https://cloud.anythingmcp.com/mcp
    • Authentication: Bearer token → 粘贴你的 MCP API key (来自 AnythingMCP → Profile → MCP API Keys → New Key)
  4. 点击 Connect 授权。

下面所有工具都会出现在你的聊天中 — 开始输入提示。

可用工具

ToolWhat it does
datadog_query_metricsRun a metrics query over a time window
datadog_search_logsSearch logs using the Logs Search syntax
datadog_list_monitorsList monitors
datadog_get_monitorGet a single monitor by ID with full definition (query, thresholds, notifications, state)
datadog_list_dashboardsList all dashboards in the org
datadog_get_dashboardFetch a dashboard's full layout: widgets, queries, template variables
datadog_list_eventsList events in a time range
datadog_post_eventPost an event to the Datadog event stream (useful for marking deploys, releases, manual incidents)

FAQ

Claude Code 和 Claude Desktop 一样工作吗? 是的 — 两者都指向 https://cloud.anythingmcp.com/mcp

下一步

Ready to ship

Your Datadog agent is one click away.

Install the connector, paste the key, prompt Claude. Free for 7 days, no credit card.