# Datadog

> Use this tool when you need to access and analyze observability data, such as metrics, logs, and incidents, to investigate system performance and troubleshoot issues. Datadog provides a standardized interface to query and analyze data, supporting DevOps and SRE workflows through a range of specialized tools. It integrates easily with MCP clients, accepting environment variables and command-line configuration for authentication, and outputs actionable insights for data-driven decision-making.

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

## Description

Datadog MCP Server provides a bridge to the Datadog monitoring platform, enabling AI assistants to access metrics, logs, dashboards, monitors, and incidents through a standardized interface. Developed by GeLi2001, this TypeScript implementation leverages the official Datadog API client to offer ten specialized tools for querying and analyzing observability data. The server supports both environment variables and command-line configuration for authentication, making it easy to integrate with Claude Desktop or other MCP clients. It's particularly valuable for DevOps and SRE workflows where users need to investigate system performance, troubleshoot issues, or analyze monitoring data without switching context to the Datadog web interface.

## 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:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/geli2001-datadog)
- **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"
    }
  }
}
```

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