AIbase
EN
Explore
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.
MonitoringCloud platform#Log Management#AWS Services#MCP Protocol#Monitoring Tools Remote.TypeScript
2 points
12

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 ManagementCreate, view, and delete log groups. Log groups are the basic units for organizing logs in CloudWatch.
Log Stream ManagementManage log streams. A log stream is a sequence of log events from a single source (such as an application instance).
Log Query and AnalysisUse powerful query functions to retrieve and analyze log data, supporting time range filtering and keyword filtering.
Read - Only ModeCan be configured in read - only mode to ensure that log data is not accidentally modified or deleted.

Advantages and Limitations

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 ErrorsRegularly check error information in application logs
Create a New Monitoring Log GroupSet 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.
K
Kubernetes
An MCP server based on Kubernetes for managing and operating Kubernetes clusters
TypeScript
546
5 points
E
Edgeone Pages MCP Server
EdgeOne Pages MCP is a service that quickly deploys HTML content to EdgeOne Pages via the MCP protocol and obtains a public URL
TypeScript
253
4.8 points
A
Awslabs Cost Analysis MCP Server
The AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.
Python
2.6K
5 points
2
2344
Opik is an open-source LLM evaluation framework that supports tracking, evaluating, and monitoring LLM applications, helping developers build more efficient and cost-effective LLM systems.
TypeScript
7.1K
5 points
M
MCP K8s Go
An MCP server based on Golang for connecting to Kubernetes clusters, providing resource query and operation functions.
Go
312
4 points
S
Solon
Solon is an efficient, open, and eco - friendly Java enterprise application development framework that supports all - scenario development. It features high performance, low memory consumption, fast startup, and small - volume packaging. It is compatible with Java 8 to Java 24 and the GraalVM native runtime.
Java
2.5K
5 points
K
Kubectl MCP Server
The Kubectl MCP Tool is a Kubernetes interaction tool based on the Model Context Protocol (MCP), allowing AI assistants to interact with Kubernetes clusters using natural language.
Python
421
4.5 points
K
Kubernetes Manager
A Kubernetes cluster management server based on the MCP protocol, supporting interaction with the Kubernetes cluster through the command line or chat interface, providing functions such as resource management and Helm chart operations.
TypeScript
562
5 points
Featured MCP Services
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
85
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
140
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
829
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
564
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
282
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
753
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2025AIbase