# AWS CloudWatch

> Use this tool when you need to monitor application health, investigate issues through logs, or analyze metrics in AWS CloudWatch. It provides direct access to CloudWatch resources, allowing you to list log groups, retrieve alarms, execute Insights queries, and discover log fields. Ideal for DevOps engineers and system administrators, it streamlines log analysis and metric monitoring through a simple interface with authentication handled through AWS profiles.

Canonical page: https://skillsregistry.net/skills/charliefng-cloudwatch  
JSON: https://api.skillsregistry.net/v1/skills/charliefng-cloudwatch

## Description

The CloudWatch MCP server provides AI assistants with direct access to AWS CloudWatch resources for monitoring and log analysis. Built with Python using FastMCP, it exposes tools for listing log groups, retrieving alarms (with filtering by state), executing CloudWatch Insights queries across multiple log groups, discovering log fields, and accessing saved queries. The implementation handles authentication through AWS profiles, automatically parses JSON in log messages, and supports both static and dynamic time ranges for queries. This server is particularly valuable for DevOps engineers and system administrators who need to monitor application health, investigate issues through logs, or analyze CloudWatch metrics without switching context from their AI assistant.

## Trust

- **Trust score (0–1):** 0.92
- **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/charliefng-cloudwatch)
- **Repository:** <https://github.com/charliefng/cloudwatch-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": "charliefng-cloudwatch"
    }
  }
}
```

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