# CloudWatch Log Analyst MCP

> Use this tool when you need to analyze AWS CloudWatch Logs and perform root-cause analysis using natural language prompts. It solves problems related to log data analysis, providing insights and structured results. The tool takes natural language queries as input and outputs detailed log analysis and root-cause findings.

Canonical page: https://skillsregistry.net/skills/eugeneoh04-cloudwatch-mcp  
JSON: https://api.skillsregistry.net/v1/skills/eugeneoh04-cloudwatch-mcp

## Description

Enables LLMs to autonomously query AWS CloudWatch Logs and perform structured root-cause analysis via natural language prompts, using MCP tools for log group listing and Insights queries.

## Trust

- **Trust score (0–1):** 0.97
- **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:** [Glama](https://glama.ai/mcp/servers/p51hyvzyoa)
- **Repository:** <https://github.com/eugeneoh04/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": "eugeneoh04-cloudwatch-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eugeneoh04-cloudwatch-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eugeneoh04-cloudwatch-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