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@hyorimitsu/amazon-cloudwatch-logs-mcp-server

v0.2.0

Published

A Model Context Protocol (MCP) server that provides tools for interacting with Amazon CloudWatch Logs services. This server enables AI Agent to manage CloudWatch log through a standardized interface using AWS SDK.

Readme

Amazon CloudWatch Logs MCP Server

A Model Context Protocol (MCP) server that provides tools for interacting with Amazon CloudWatch Logs services. This server enables AI assistants to manage CloudWatch logs through a standardized interface using AWS SDK.

License: MIT Code Style npm version Docker Image

Note: This project is currently under active development and not yet ready for production use. Features and APIs may change significantly before the first stable release.

Overview

This MCP server allows AI assistants to interact with Amazon CloudWatch Logs through the Model Context Protocol. It provides a standardized interface for performing various CloudWatch Logs operations, enabling comprehensive management and monitoring of log data.

Quick Start

Prerequisites

  • AWS account with CloudWatch Logs access
  • AWS access key and secret key with appropriate permissions
  • Node.js (for npm installation) or Docker

Installation

Choose one of the following installation methods:

Option 1: npm Package

# Install the package
npm install -g @hyorimitsu/amazon-cloudwatch-logs-mcp-server

# Configure in your AI assistant's configuration
# See Configuration section below

Option 2: Docker Image

# Pull the Docker image
docker pull ghcr.io/hyorimitsu/mcp-amazon-cloudwatch-logs:latest

# Configure in your AI assistant's configuration
# See Configuration section below

Option 3: Local Development Build

# Clone the repository
git clone https://github.com/hyorimitsu/mcp-amazon-cloudwatch-logs.git
cd mcp-amazon-cloudwatch-logs

# Install dependencies
pnpm install

# Build the project
pnpm run build

# Configure in your AI assistant's configuration
# See Configuration section below

Configuration

Add the server to your AI assistant's configuration:

For npm Installation

{
  "mcpServers": {
    "amazon-cloudwatch-logs": {
      "command": "amazon-cloudwatch-logs-mcp-server",
      "env": {
        "AWS_REGION": "us-east-1",
        "AWS_ACCESS_KEY_ID": "<YOUR_ACCESS_KEY>",
        "AWS_SECRET_ACCESS_KEY": "<YOUR_SECRET_KEY>"
      }
    }
  }
}

For Docker Installation

{
  "mcpServers": {
    "amazon-cloudwatch-logs": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "AWS_REGION",
        "-e",
        "AWS_ACCESS_KEY_ID",
        "-e",
        "AWS_SECRET_ACCESS_KEY",
        "ghcr.io/hyorimitsu/mcp-amazon-cloudwatch-logs"
      ],
      "env": {
        "AWS_REGION": "us-east-1",
        "AWS_ACCESS_KEY_ID": "<YOUR_ACCESS_KEY>",
        "AWS_SECRET_ACCESS_KEY": "<YOUR_SECRET_KEY>"
      }
    }
  }
}

For Local Development Build

{
  "mcpServers": {
    "amazon-cloudwatch-logs": {
      "command": "node",
      "args": ["/path/to/mcp-amazon-cloudwatch-logs/build/index.js"],
      "env": {
        "AWS_REGION": "us-east-1",
        "AWS_ACCESS_KEY_ID": "<YOUR_ACCESS_KEY>",
        "AWS_SECRET_ACCESS_KEY": "<YOUR_SECRET_KEY>"
      }
    }
  }
}

Environment Variables

| Variable | Required | Description | Default | | --------------------- | -------- | --------------------------------------------------------------- | --------- | | AWS_REGION | No | The AWS region where your CloudWatch Logs resources are located | us-east-1 | | AWS_ACCESS_KEY_ID | Yes | Your AWS access key ID for authentication | - | | AWS_SECRET_ACCESS_KEY | Yes | Your AWS secret access key for authentication | - | | READONLY | No | When set to "true", only read operations are allowed | false |

Read-Only Mode

Enable read-only mode by setting the READONLY environment variable to "true":

"env": {
  "AWS_REGION": "us-east-1",
  "AWS_ACCESS_KEY_ID": "<YOUR_ACCESS_KEY>",
  "AWS_SECRET_ACCESS_KEY": "<YOUR_SECRET_KEY>",
  "READONLY": "true"
}

In read-only mode:

  • Only READ operations (tools that retrieve or query information) are available
  • WRITE operations (tools that create, modify, or delete resources) are disabled

This is useful for scenarios where you want to allow log viewing but prevent any modifications to your CloudWatch Logs resources.

Available Tools

Log Group Operations

| Tool Name | Operation Type | Description | | ------------------- | -------------- | --------------------------------------------------- | | create_log_group | WRITE | Creates a new Amazon CloudWatch Logs log group | | describe_log_groups | READ | List and describe Amazon CloudWatch Logs log groups | | delete_log_group | WRITE | Delete an Amazon CloudWatch Logs log group |

Log Stream Operations

| Tool Name | Operation Type | Description | | -------------------- | -------------- | -------------------------------------------- | | create_log_stream | WRITE | Create a new log stream in a log group | | describe_log_streams | READ | List and describe log streams in a log group | | delete_log_stream | WRITE | Delete a log stream in a log group |

Log Event Operations

| Tool Name | Operation Type | Description | | ----------------- | -------------- | -------------------------------------------------- | | put_log_events | WRITE | Write log events to a specified log stream | | get_log_events | READ | Retrieve log events from a specified log stream | | filter_log_events | READ | Search log events with a pattern across log groups |

Insights Operations

| Tool Name | Operation Type | Description | | ----------------- | -------------- | ------------------------------------------------------ | | start_query | READ | Start a CloudWatch Logs Insights query | | stop_query | READ | Stop a running CloudWatch Logs Insights query | | get_query_results | READ | Retrieve results from a CloudWatch Logs Insights query | | describe_queries | READ | List and describe CloudWatch Logs Insights queries |

For detailed documentation on each tool, including parameters and examples, see TOOLS.md.

Development

For information on developing and extending this project, please see CONTRIBUTING.md.

License

This project is licensed under the MIT License - see the LICENSE file for details.