MCP Amazon Cloudwatch Logs
M

MCP Amazon Cloudwatch Logs

An Amazon CloudWatch log management server based on the MCP protocol, providing a standardized interface for AI assistants to operate the CloudWatch logging service through the AWS SDK.
2 points
8.1K

What is Amazon CloudWatch Logs MCP Server?

This is a server based on the Model Context Protocol (MCP), specifically designed to connect AI assistants with the Amazon CloudWatch logging service. It provides a set of standardized tools that allow non - technical users to easily manage log data on the AWS cloud through AI assistants.

How to use this service?

You can use it in three ways: 1) Install the npm package. 2) Use the Docker image. 3) Build from the source code. After installation, add the corresponding configuration to the AI assistant's configuration file to start using it.

Use cases

Suitable for users who need to monitor AWS cloud service logs, analyze application runtime status, and troubleshoot system issues. Especially suitable for those who want to interact with the logging system using natural language instead of directly operating the AWS console or CLI.

Main Features

Log Group Management
Create, view, and delete log groups. Log groups are the basic units for organizing logs in CloudWatch.
Log Stream Management
Manage log streams. A log stream is a sequence of log events from a single source (such as an application instance).
Log Query and Analysis
Use powerful query functions to retrieve and analyze log data, supporting time range filtering and keyword filtering.
Read - Only Mode
Can be configured in read - only mode to ensure that log data is not accidentally modified or deleted.
Advantages
Simplify AWS log management through a natural language interface
Standardized protocol ensures compatibility with different AI assistants
Fine - grained permission control (supports read - only mode)
Multiple deployment methods meet different environment requirements
Limitations
Currently in the development stage, and the API may change
Requires basic AWS account and permission configuration
Only supports the Amazon CloudWatch logging service

How to Use

Get AWS Credentials
Obtain access keys (Access Key ID and Secret Access Key) from the AWS console.
Choose an Installation Method
Select npm, Docker, or source code installation according to your environment.
Configure the AI Assistant
Add the MCP server configuration to the AI assistant's configuration file.
Start Using
Manage your CloudWatch logs using natural language commands through the AI assistant.

Usage Examples

Monitor Application Errors
Regularly check error information in application logs
Create a New Monitoring Log Group
Set up log collection for a newly deployed service

Frequently Asked Questions

Is this service charged?
How to ensure the security of my log data?
Which AI assistants are supported?

Related Resources

GitHub Repository
Project source code and issue tracking
AWS CloudWatch Documentation
Official CloudWatch Logs documentation
MCP Protocol Specification
Official specification of the Model Context Protocol

Installation

Copy the following command to your Client for configuration
{
  "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>"
      }
    }
  }
}

{
  "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>"
      }
    }
  }
}

{
  "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>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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