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Amazon CloudWatch Logs MCP Server

by hyorimitsu

This MCP server provides tools for interacting with Amazon CloudWatch Logs services, enabling AI assistants to manage logs through a standardized interface using AWS SDK. It's currently under active development and not yet ready for production use.

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What is Amazon CloudWatch Logs MCP Server?

An MCP (Model Context Protocol) server that provides a standardized interface for AI assistants to interact with Amazon CloudWatch Logs. It allows for comprehensive management and monitoring of log data.

How to use Amazon CloudWatch Logs MCP Server?

The server can be installed via npm, Docker, or a local development build. After installation, it needs to be configured in the AI assistant's configuration file, providing AWS credentials and region. Environment variables can be used to configure the server, including enabling a read-only mode.

Key features of Amazon CloudWatch Logs MCP Server

  • Standardized interface for CloudWatch Logs

  • Integration with AI assistants

  • Log group operations (create, describe, delete)

  • Log stream operations (create, describe, delete)

  • Log event operations (put, get, filter)

  • Read-only mode

Use cases of Amazon CloudWatch Logs MCP Server

  • Automated log monitoring and analysis

  • Integration of CloudWatch Logs into AI-powered workflows

  • Centralized log management for AI assistants

  • Secure log access with read-only mode

  • Programmatic creation and deletion of log groups and streams

FAQ from Amazon CloudWatch Logs MCP Server

What is an MCP server?

MCP stands for Model Context Protocol. It provides a standardized way for AI assistants to interact with different services.

What AWS permissions are required?

The server requires AWS access key and secret key with permissions to access and manage CloudWatch Logs.

How do I enable read-only mode?

Set the READONLY environment variable to true.

What log operations are supported?

The server supports operations on log groups, log streams, and log events, including creation, deletion, retrieval, and filtering.

Is this project production-ready?

No, this project is currently under active development and not yet ready for production use. Features and APIs may change significantly.