# Datadog

> Use this tool when you need to manage and retrieve incident information, integrate observability data into workflows, or monitor system incidents. It provides a server implementation that leverages Datadog's API to list and retrieve incident data, with plans for expansion to other resources. Ideal for AI applications requiring incident management capabilities and Datadog data integration.

Canonical page: https://skillsregistry.net/skills/winor30-datadog  
JSON: https://api.skillsregistry.net/v1/skills/winor30-datadog

## Description

This MCP server implementation provides integration with Datadog's API, enabling AI assistants to manage and retrieve incident information. Developed by winor30, it offers tools for listing and retrieving Datadog incidents, with plans for future expansion to cover more Datadog resources. Built using TypeScript and leveraging the Datadog API client, the server focuses on incident management capabilities. It is particularly useful for AI applications that need to monitor and respond to system incidents or integrate Datadog's observability data into their workflows.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/winor30-datadog)
- **Repository:** <https://github.com/winor30/mcp-server-datadog>

## 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": "winor30-datadog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/winor30-datadog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/winor30-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