# datadog-mcp

> Use this tool when you need to monitor and analyze application performance, troubleshoot issues, or optimize system metrics. It enables AI assistants to interact with Datadog APIs, accepting inputs such as log queries and metric requests, and producing outputs like dashboard data and APM trace analysis. Ideal for use cases involving log analysis, performance monitoring, and anomaly detection in complex systems.

Canonical page: https://skillsregistry.net/skills/techskies11-datadog-mcp  
JSON: https://api.skillsregistry.net/v1/skills/techskies11-datadog-mcp

## Description

Enables AI assistants to search logs, query metrics, manage dashboards, analyze APM traces, and control monitors via Datadog APIs.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ijc9kjnoq3)
- **Repository:** <https://github.com/techskies11/datadog-mcp>

## 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": "techskies11-datadog-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/techskies11-datadog-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/techskies11-datadog-mcp/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