
mcp-amazon-cloudwatch-logs
A Model Context Protocol (MCP) server that enables AI assistants to interact with Amazon CloudWatch Logs through a standardized interface using AWS SDK.
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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.
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 |
For detailed documentation on each tool, including parameters and examples, see TOOLS.md.
Note: This project is under development. Additional CloudWatch Logs operations are planned for future releases.
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.
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Reviews

user_aiQCaYWr
I've been using mcp-amazon-cloudwatch-logs by hyorimitsu and it's incredibly efficient for managing and analyzing Amazon CloudWatch logs. The integration is seamless and the interface is intuitive, making my logging tasks much simpler. Highly recommended for anyone needing streamlined log monitoring. Check it out at https://github.com/hyorimitsu/mcp-amazon-cloud-watch-logs.