# datadog-mcp

> Use this tool when you need to analyze logs from a specific Kubernetes cluster and namespace in Datadog. It retrieves relevant logs and enables querying through natural language, solving issues related to log analysis and troubleshooting. The tool accepts cluster and namespace inputs and outputs logs for analysis, ideal for use cases requiring ad-hoc log investigation and insight generation.

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

## Description

Retrieves logs from Datadog for a specified Kubernetes cluster and namespace, enabling analysis by Claude through natural language queries.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j440d3od1p)
- **Repository:** <https://github.com/sqr/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": "sqr-datadog-mcp"
    }
  }
}
```

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