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CloudWatch Logs MCP Server

@serkanh

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Developer Tools

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Author

serkanh

About CloudWatch Logs MCP Server

No overview available yet

#mcp#cloudwatch#cloudwatch-logs#mcp-server

CloudWatch Logs MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "cloudwatch-logs": {
      "command": "python3",
      "args": [
        "/path/to/cloudwatch-logs-mcp/main.py"
      ],
      "env": {
        "AWS_ACCESS_KEY_ID": "<YOUR_ACCESS_KEY_ID>",
        "AWS_SECRET_ACCESS_KEY": "<YOUR_SECRET_ACCESS_KEY>"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

CloudWatch Logs MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is CloudWatch Logs MCP Server?

CloudWatch Logs MCP Server is a Model Context Protocol (MCP) server that provides tools for accessing AWS CloudWatch logs. It allows AI assistants, such as Claude Desktop, to list log groups and read log entries from AWS CloudWatch using the boto3 library.

How to use CloudWatch Logs MCP Server?

Configure AWS credentials via environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY) or the AWS CLI. Then add the server to your Claude Desktop configuration (claude_desktop_config.json) using either a Python command or a Docker container. The server exposes two tools: list_groups and get_logs.

Key features of CloudWatch Logs MCP Server

  • List available CloudWatch log groups with optional prefix.
  • Read log entries from a specific log group.
  • Filter logs by time (ISO or relative "5m", "1h", "1d"), log stream, and filter pattern.
  • Support overriding AWS region and credentials per tool call.
  • Returns JSON output with log group details or log events.

Use cases of CloudWatch Logs MCP Server

  • Troubleshoot application issues by querying recent CloudWatch logs.
  • Monitor log groups and streams from an AI assistant.
  • Automate inspection of log errors with natural language queries.
  • Quickly retrieve log entries without leaving the chat interface.

Frequently asked questions

1

What AWS credentials are required?

The server needs `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY` environment variables, or can use the default AWS CLI profile. Optionally, each tool call can pass its own credentials.

2

How do I run the server with Docker?

Use the Docker command in your `claude_desktop_config.json` with the image `mcp/cloudwatch-logs`, passing the AWS credentials as environment variables.

3

What tools does this server provide?

Two tools: `list_groups` (list log groups) and `get_logs` (read logs from a specific log group). Both accept optional AWS region and credentials.

4

Can I filter the logs returned?

Yes. `get_logs` supports `logStreamName`, `startTime`, `endTime` (ISO or relative), and `filterPattern` as optional parameters.

5

What is the output format?

Both tools return JSON strings: `list_groups` returns log group names, creation times, and stored bytes; `get_logs` returns log events with timestamps, messages, and log stream names.

Comments

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