# CloudWatch Logs

> Use this tool when you need to monitor and analyze AWS infrastructure logs remotely, without requiring direct console access. It solves problems related to log management, troubleshooting, and auditing by providing access to CloudWatch logs through a Python-based interface. The tool takes in parameters such as time ranges, patterns, and log streams, and outputs structured JSON responses with log entries.

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

## Description

CloudWatch Logs MCP Server provides AI assistants with direct access to AWS CloudWatch logs through a Python-based implementation using FastMCP and boto3. The server exposes two main tools: listing available log groups and retrieving log entries with support for filtering by time ranges, patterns, and specific streams. It handles AWS authentication through standard credential chains or explicit parameters, formats responses as structured JSON, and includes comprehensive error handling and logging capabilities. Ideal for remote monitoring and analysis of AWS infrastructure logs without requiring direct console access.

## Trust

- **Trust score (0–1):** 0.94
- **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/serkanh-cloudwatch-logs)
- **Repository:** <https://github.com/serkanh/cloudwatch-logs-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": "serkanh-cloudwatch-logs"
    }
  }
}
```

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