# Datadog

> Use this tool when you need to integrate AI assistants with Datadog's monitoring and observability platform to access metrics, logs, and monitoring data. It solves problems related to AI-assisted monitoring workflows, incident response automation, and observability data analysis, providing inputs such as API keys and site endpoints, and outputs including monitoring data and logs. Ideal for DevOps teams and SREs, it offers a configurable interface for seamless interaction with Datadog's APIs.

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

## Description

This Datadog MCP server by Clement Hussenot provides integration with the Datadog monitoring and observability platform, enabling AI assistants to interact with Datadog's APIs for metrics, logs, and monitoring data. Built with Go using the official MCP Go SDK and featuring OpenAPI code generation through oapi-codegen, it offers tools for accessing Datadog's monitoring capabilities with proper API key authentication and configurable site endpoints. The implementation includes comprehensive development tooling with pre-commit hooks, Spectral API linting, Docker containerization, and multi-language support through Python dependencies, making it valuable for DevOps teams and SREs who need AI-assisted monitoring workflows, incident response automation, and observability data analysis within their existing Datadog infrastructure.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/believe-sa-datadog)
- **Repository:** <https://github.com/believe-sa/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": "believe-sa-datadog"
    }
  }
}
```

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

---
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