# Datadog

> Use this tool when you need to integrate monitoring and observability data into AI-driven workflows, enabling programmatic interaction with Datadog services to retrieve and manage metrics and logs. It solves problems related to automation, data retrieval, and management, providing a bridge to the Datadog API for seamless integration. Ideal for use cases where data-driven insights are required, such as automation scenarios and AI-powered decision-making.

Canonical page: https://skillsregistry.net/skills/i524-datadog  
JSON: https://api.skillsregistry.net/v1/skills/i524-datadog

## Description

Datadog MCP server provides a bridge to the Datadog API, enabling programmatic interaction with Datadog monitoring and observability services. Built using TypeScript and the Bun runtime, it leverages the Datadog API client to facilitate data retrieval and management tasks. Useful for integrating Datadog metrics and logs into AI-driven workflows and automation scenarios.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/i524-datadog)
- **Repository:** <https://github.com/i524/datadog-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "i524-datadog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/i524-datadog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/i524-datadog/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt