@hyorimitsu
基本情報
A Model Context Protocol (MCP) server that enables AI assistants to interact with Amazon CloudWatch Logs through a standardized interface using AWS SDK.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-amazon-cloudwatch-logs": {
"command": "docker",
"args": [
"pull",
"ghcr.io/hyorimitsu/mcp-amazon-cloudwatch-logs:latest"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A Model Context Protocol (MCP) server that provides tools for interacting with Amazon CloudWatch Logs services. It enables AI assistants to manage CloudWatch logs through a standardized interface using the AWS SDK.
Install globally via npm (npm install -g @hyorimitsu/amazon-cloudwatch-logs-mcp-server) or pull the Docker image (ghcr.io/hyorimitsu/mcp-amazon-cloudwatch-logs:latest). Then add the server to your AI assistant’s configuration, setting the required environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY, and optionally AWS_REGION and READONLY.
It provides a set of tools for AI assistants to interact with Amazon CloudWatch Logs, including creating, describing, and deleting log groups and streams, putting and retrieving log events, and running CloudWatch Logs Insights queries.
You need an AWS account with CloudWatch Logs access, an AWS access key and secret key with appropriate permissions, and either Node.js (for npm) or Docker installed.
No. The project is actively under development and not yet ready for production. Features and APIs may change before the first stable release.
Set the `READONLY` environment variable to `"true"` in the server configuration. This disables all write operations (create, modify, delete) while keeping read operations available.
Yes. Pull the image from `ghcr.io/hyorimitsu/mcp-amazon-cloudwatch-logs:latest` and configure your AI assistant to run it as a Docker container with the required AWS environment variables.
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