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MCP Cloudwatch Tracker

@Juri-Dev-Lab

Repository

Basic information

Category

Other

Transports

stdio

Author

Juri-Dev-Lab

About MCP Cloudwatch Tracker

No overview available yet

#mcp-cloudwatch-tracker#log-tracking#aws-cloudwatch

MCP Cloudwatch Tracker config

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

{
  "mcpServers": {
    "mcp-cloudwatch-tracker": {
      "command": "npx",
      "args": [
        "-y",
        "@juri-dev-lab/mcp-cloudwatch-tracker@latest",
        "\\"
      ]
    }
  }
}

MCP Cloudwatch Tracker 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.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is mcp-cloudwatch-tracker?

mcp-cloudwatch-tracker is an MCP (Model Context Protocol) server for analyzing and debugging AWS CloudWatch logs. It searches for specific strings, retrieves surrounding context, summarizes analysis, and identifies error patterns. The server is intended for developers and DevOps engineers who need to investigate CloudWatch log data programmatically.

How to use mcp-cloudwatch-tracker?

You can run the server via npx (recommended) or Docker. Both methods require an AWS access key, secret key, and region. For npx, execute:
npx -y @juri-dev-lab/mcp-cloudwatch-tracker@latest --aws-access-key-id YOUR_KEY --aws-secret-access-key YOUR_SECRET --aws-region YOUR_REGION
Alternatively, use environment variables with the Docker image: docker pull juridevlab/mcp-cloudwatch-tracker then run with -e flags. The server provides CLI commands such as search (to search logs) and recent (to fetch recent log events).

Key features of mcp-cloudwatch-tracker

  • Search CloudWatch log groups for specific strings
  • Retrieve log context before and after matching events
  • Summarize log analysis results
  • Analyze error logs and identify root causes
  • Flexible AWS credential configuration (.env, environment variables, AWS CLI)

Use cases of mcp-cloudwatch-tracker

  • Debugging production issues by searching error logs across multiple streams
  • Monitoring application behavior by extracting recent log events
  • Analyzing recurring error patterns in CloudWatch log groups
  • Integrating log investigation into automated workflows via MCP

Frequently asked questions

1

How do I set up AWS credentials for mcp-cloudwatch-tracker?

You can provide credentials via a `.env` file, system environment variables (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_REGION`), or by running `aws configure` to use AWS CLI credentials. Never commit credentials to version control.

2

What IAM permissions are required for mcp-cloudwatch-tracker?

The server needs the following minimum permissions: `logs:GetLogEvents`, `logs:FilterLogEvents`, `logs:DescribeLogGroups`, and `logs:DescribeLogStreams`. A sample IAM policy is provided in the README.

3

Can I run mcp-cloudwatch-tracker with Docker?

Yes. Pull the image from Docker Hub (`juridevlab/mcp-cloudwatch-tracker`) and run it with the required environment variables set. A Docker build script is also included in the repository.

4

How do I search for logs using mcp-cloudwatch-tracker?

Use the `search` command with the log group, stream, and search term. For example: `cloudwatch-log-tracker search -g your-log-group -s your-stream -t "search-term"`. Optional flags allow you to set the search window in days, context line count, and enable error analysis.

Comments

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