# MCP Datadog Playcourt

> Use this tool when you need to monitor and query metrics from diverse sources, such as Kubernetes clusters, APM traces, infrastructure hosts, and databases, to troubleshoot and optimize performance issues. It provides a unified interface for streamlined monitoring and querying of Datadog metrics. Ideal for use cases requiring real-time insights and visibility into complex systems and applications.

Canonical page: https://skillsregistry.net/skills/adisaputra10-mcp-datadog  
JSON: https://api.skillsregistry.net/v1/skills/adisaputra10-mcp-datadog

## Description

Enables monitoring and querying of Datadog metrics for Kubernetes clusters, APM traces, infrastructure hosts, and databases through a unified interface.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wtzf4am0k6)
- **Repository:** <https://github.com/adisaputra10/mcp-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": "adisaputra10-mcp-datadog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adisaputra10-mcp-datadog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adisaputra10-mcp-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