# datadog mcp

> Use this tool when you need to monitor and troubleshoot complex systems, as Datadog MCP provides tracing and monitoring capabilities to identify performance issues and optimize system health. It solves problems related to application performance, error detection, and resource utilization, offering real-time insights and alerts. With inputs from system logs and metrics, it outputs detailed dashboards and notifications to facilitate data-driven decision-making.

Canonical page: https://skillsregistry.net/skills/geli2001-datadog-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/geli2001-datadog-mcp-server

## Description

for tracing and monitoring

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nj2o2mvvnd)
- **Repository:** <https://github.com/GeLi2001/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": "geli2001-datadog-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/geli2001-datadog-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/geli2001-datadog-mcp-server/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