[{"_1":2,"_286":-5,"_287":-5},"loaderData",{"_3":4,"_22":23,"_232":233},"root",{"_5":6,"_7":8},"toasts",[],"visitor",{"_9":10,"_11":12},"viewportWidth",1280,"visitorSession",{"_13":14,"_16":17,"_18":-5,"_19":20,"_21":-5},"attributes",[15],"bot","id",13603554,"membership","referenceId","019910ca-4cd4-77ce-b204-5ce6a052a087","userAccount","routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_24":25,"_66":-5,"_67":26,"_27":68,"_148":149,"_231":135},"availableLocales",[26,38,45,52,59],{"_27":28,"_31":35,"_36":37},"mcpServer",{"_29":30,"_31":32,"_33":34},"description","An MCP server that allows AI assistants to access AWS CloudWatch logs by listing log groups and reading log entries.","name","CloudWatch Logs MCP Server","readme","# CloudWatch Logs MCP Server\n\nAn MCP (Model Context Protocol) server that provides tools for accessing AWS CloudWatch logs. This server allows AI assistants to list log groups and read log entries from AWS CloudWatch.\n\n## Available Tools\n\n### list_groups\n\nLists available CloudWatch log groups.\n\n**Parameters:**\n\n- `prefix` (optional): Log group name prefix\n- `region` (optional): AWS region\n- `accessKeyId` (optional): AWS access key ID\n- `secretAccessKey` (optional): AWS secret access key\n- `sessionToken` (optional): AWS session token\n\n**Returns:** JSON string with the list of log groups, including `logGroupName`, `creationTime`, and `storedBytes`.\n\n### get_logs\n\nGets CloudWatch logs from a specific log group.\n\n**Parameters:**\n\n- `logGroupName` (required): The name of the log group\n- `logStreamName` (optional): The name of the log stream\n- `startTime` (optional): Start time in ISO format or relative time (e.g., \"5m\", \"1h\", \"1d\")\n- `endTime` (optional): End time in ISO format\n- `filterPattern` (optional): Filter pattern for the logs\n- `region` (optional): AWS region\n- `accessKeyId` (optional): AWS access key ID\n- `secretAccessKey` (optional): AWS secret access key\n- `sessionToken` (optional): AWS session token\n\n**Returns:** JSON string with the log events, including `timestamp`, `message`, and `logStreamName`.\n\n## Setup\n\n### AWS Credentials\n\nEnsure you have AWS credentials configured. You can set them up using the AWS CLI or by setting environment variables:\n\n- `AWS_ACCESS_KEY_ID`\n- `AWS_SECRET_ACCESS_KEY`\n\n### Usage with Claude Desktop\n\nAdd the following to your `claude_desktop_config.json`:\n\n```json\n{\n \"mcpServers\": {\n \"cloudwatch-logs\": {\n \"command\": \"python3\",\n \"args\": [\"/path/to/cloudwatch-logs-mcp/main.py\"],\n \"env\": {\n \"AWS_ACCESS_KEY_ID\": \"\",\n \"AWS_SECRET_ACCESS_KEY\": \"\",\n },\n \"disabled\": false,\n \"autoApprove\": []\n }\n }\n}\n```\n\n### Docker\n\nIf you prefer to run the server in a Docker container, you can set up a Dockerfile and use the following configuration:\n\n```json\n{\n \"mcpServers\": {\n \"cloudwatch-logs\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AWS_ACCESS_KEY_ID\",\n \"-e\",\n \"AWS_SECRET_ACCESS_KEY\",\n \"mcp/cloudwatch-logs\"\n ],\n \"env\": {\n \"AWS_ACCESS_KEY_ID\": \"\",\n \"AWS_SECRET_ACCESS_KEY\": \"\",\n }\n }\n }\n}\n```\n\n## Implementation Details\n\nThis server is built using the FastMCP class from the MCP SDK, which provides a simple way to create MCP servers. The server exposes two main tools:\n\n1. `list_groups`: Lists available CloudWatch log groups\n2. `get_logs`: Reads log entries from specific log groups\n\nEach tool is implemented as an async function decorated with `@mcp.tool()`. The server uses the boto3 library to interact with the AWS CloudWatch Logs API.\n\n## License\n\nMIT\n","English","tag","en-US",{"_27":39,"_31":43,"_36":44},{"_29":40,"_31":41,"_33":42},"Un servidor MCP que permite a los asistentes de IA acceder a los registros de AWS CloudWatch enumerando grupos de registros y leyendo entradas de registro.","Servidor MCP de CloudWatch Logs","# Servidor MCP de CloudWatch Logs\n\nUn servidor MCP (Protocolo de Contexto de Modelo) que proporciona herramientas para acceder a los registros de AWS CloudWatch. Este servidor permite a los asistentes de IA listar grupos de registros y leer entradas de registros de AWS CloudWatch.\n\n## Herramientas disponibles\n\n### grupos de listas\n\nEnumera los grupos de registros de CloudWatch disponibles.\n\n**Parámetros:**\n\n* `prefix` (opcional): prefijo del nombre del grupo de registros\n* `region` (opcional): región de AWS\n* `accessKeyId` (opcional): ID de clave de acceso de AWS\n* `secretAccessKey` (opcional): clave de acceso secreta de AWS\n* `sessionToken` (opcional): token de sesión de AWS\n\n**Devuelve:** cadena JSON con la lista de grupos de registros, incluidos `logGroupName` , `creationTime` y `storedBytes` .\n\n### obtener\\_registros\n\nObtiene registros de CloudWatch de un grupo de registros específico.\n\n**Parámetros:**\n\n* `logGroupName` (obligatorio): el nombre del grupo de registros\n* `logStreamName` (opcional): el nombre del flujo de registro\n* `startTime` (opcional): Hora de inicio en formato ISO o tiempo relativo (por ejemplo, \"5m\", \"1h\", \"1d\")\n* `endTime` (opcional): Hora de finalización en formato ISO\n* `filterPattern` (opcional): Patrón de filtro para los registros\n* `region` (opcional): región de AWS\n* `accessKeyId` (opcional): ID de clave de acceso de AWS\n* `secretAccessKey` (opcional): clave de acceso secreta de AWS\n* `sessionToken` (opcional): token de sesión de AWS\n\n**Devuelve:** cadena JSON con los eventos de registro, incluidos `timestamp` , `message` y `logStreamName` .\n\n## Configuración\n\n### Credenciales de AWS\n\nAsegúrese de tener configuradas las credenciales de AWS. Puede configurarlas mediante la CLI de AWS o configurando variables de entorno:\n\n* `AWS_ACCESS_KEY_ID`\n* `AWS_SECRET_ACCESS_KEY`\n\n### Uso con Claude Desktop\n\nAgregue lo siguiente a su `claude_desktop_config.json` :\n\n```json\n{\n \"mcpServers\": {\n \"cloudwatch-logs\": {\n \"command\": \"python3\",\n \"args\": [\"/path/to/cloudwatch-logs-mcp/main.py\"],\n \"env\": {\n \"AWS_ACCESS_KEY_ID\": \"\",\n \"AWS_SECRET_ACCESS_KEY\": \"\",\n },\n \"disabled\": false,\n \"autoApprove\": []\n }\n }\n}\n```\n\n### Estibador\n\nSi prefiere ejecutar el servidor en un contenedor Docker, puede configurar un Dockerfile y usar la siguiente configuración:\n\n```json\n{\n \"mcpServers\": {\n \"cloudwatch-logs\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AWS_ACCESS_KEY_ID\",\n \"-e\",\n \"AWS_SECRET_ACCESS_KEY\",\n \"mcp/cloudwatch-logs\"\n ],\n \"env\": {\n \"AWS_ACCESS_KEY_ID\": \"\",\n \"AWS_SECRET_ACCESS_KEY\": \"\",\n }\n }\n }\n}\n```\n\n## Detalles de implementación\n\nEste servidor se creó con la clase FastMCP del SDK de MCP, que facilita la creación de servidores MCP. El servidor expone dos herramientas principales:\n\n1. `list_groups` : enumera los grupos de registros de CloudWatch disponibles\n2. `get_logs` : lee entradas de registro de grupos de registros específicos\n\nCada herramienta se implementa como una función asíncrona decorada con `@mcp.tool()` . El servidor utiliza la biblioteca boto3 para interactuar con la API de AWS CloudWatch Logs.\n\n## Licencia\n\nInstituto Tecnológico de Massachusetts (MIT)","Spanish","es-ES",{"_27":46,"_31":50,"_36":51},{"_29":47,"_31":48,"_33":49},"ロググループを一覧表示し、ログエントリを読み取ることで、AI アシスタントが AWS CloudWatch ログにアクセスできるようにする MCP サーバー。","CloudWatch Logs MCP サーバー","# CloudWatch Logs MCP サーバー\n\nAWS CloudWatch ログにアクセスするためのツールを提供する MCP（Model Context Protocol）サーバー。このサーバーにより、AI アシスタントはロググループを一覧表示し、AWS CloudWatch からログエントリを読み取ることができます。\n\n## 利用可能なツール\n\n### リストグループ\n\n利用可能な CloudWatch ロググループを一覧表示します。\n\n**パラメータ:**\n\n* `prefix` （オプション）：ロググループ名のプレフィックス\n* `region` （オプション）: AWS リージョン\n* `accessKeyId` (オプション): AWS アクセスキー ID\n* `secretAccessKey` (オプション): AWS シークレットアクセスキー\n* `sessionToken` (オプション): AWSセッショントークン\n\n**戻り値:** `logGroupName` 、 `creationTime` 、 `storedBytes`を含むロググループのリストを含む JSON 文字列。\n\n### ログを取得する\n\n特定のロググループから CloudWatch ログを取得します。\n\n**パラメータ:**\n\n* `logGroupName` (必須): ロググループの名前\n* `logStreamName` (オプション): ログストリームの名前\n* `startTime` (オプション): ISO 形式または相対時間での開始時刻 (例: \"5m\"、\"1h\"、\"1d\")\n* `endTime` (オプション): ISO 形式の終了時刻\n* `filterPattern` (オプション): ログのフィルターパターン\n* `region` （オプション）: AWS リージョン\n* `accessKeyId` (オプション): AWS アクセスキー ID\n* `secretAccessKey` (オプション): AWS シークレットアクセスキー\n* `sessionToken` (オプション): AWSセッショントークン\n\n**戻り値:** `timestamp` 、 `message` 、 `logStreamName`を含むログイベントを含む JSON 文字列。\n\n## 設定\n\n### AWS 認証情報\n\nAWS 認証情報が設定されていることを確認してください。AWS CLI を使用するか、環境変数を設定することで設定できます。\n\n* `AWS_ACCESS_KEY_ID`\n* `AWS_SECRET_ACCESS_KEY`\n\n### Claude Desktopでの使用\n\n`claude_desktop_config.json`に以下を追加します。\n\n```json\n{\n \"mcpServers\": {\n \"cloudwatch-logs\": {\n \"command\": \"python3\",\n \"args\": [\"/path/to/cloudwatch-logs-mcp/main.py\"],\n \"env\": {\n \"AWS_ACCESS_KEY_ID\": \"\",\n \"AWS_SECRET_ACCESS_KEY\": \"\",\n },\n \"disabled\": false,\n \"autoApprove\": []\n }\n }\n}\n```\n\n### ドッカー\n\nDocker コンテナ内でサーバーを実行する場合は、Dockerfile をセットアップして次の構成を使用できます。\n\n```json\n{\n \"mcpServers\": {\n \"cloudwatch-logs\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AWS_ACCESS_KEY_ID\",\n \"-e\",\n \"AWS_SECRET_ACCESS_KEY\",\n \"mcp/cloudwatch-logs\"\n ],\n \"env\": {\n \"AWS_ACCESS_KEY_ID\": \"\",\n \"AWS_SECRET_ACCESS_KEY\": \"\",\n }\n }\n }\n}\n```\n\n## 実装の詳細\n\nこのサーバーは、MCPサーバーを簡単に作成できるMCP SDKのFastMCPクラスを使用して構築されています。このサーバーは、主に2つのツールを公開しています。\n\n1. `list_groups` : 利用可能な CloudWatch ロググループを一覧表示します\n2. `get_logs` : 特定のロググループからログエントリを読み取ります\n\n各ツールは`@mcp.tool()`で修飾された非同期関数として実装されています。サーバーはboto3ライブラリを使用してAWS CloudWatch Logs APIとやり取りします。\n\n## ライセンス\n\nマサチューセッツ工科大学","Japanese","ja-JP",{"_27":53,"_31":57,"_36":58},{"_29":54,"_31":55,"_33":56},"AI 어시스턴트가 로그 그룹을 나열하고 로그 항목을 읽어 AWS CloudWatch 로그에 액세스할 수 있도록 하는 MCP 서버입니다.","CloudWatch Logs MCP 서버","# CloudWatch Logs MCP 서버\n\nAWS CloudWatch 로그에 액세스하는 도구를 제공하는 MCP(Model Context Protocol) 서버입니다. 이 서버를 통해 AI 어시스턴트는 로그 그룹을 나열하고 AWS CloudWatch에서 로그 항목을 읽을 수 있습니다.\n\n## 사용 가능한 도구\n\n### 목록\\_그룹\n\n사용 가능한 CloudWatch 로그 그룹을 나열합니다.\n\n**매개변수:**\n\n* `prefix` (선택 사항): 로그 그룹 이름 접두사\n* `region` (선택 사항): AWS 지역\n* `accessKeyId` (선택 사항): AWS 액세스 키 ID\n* `secretAccessKey` (선택 사항): AWS 비밀 액세스 키\n* `sessionToken` (선택 사항): AWS 세션 토큰\n\n**반환:** `logGroupName` , `creationTime` , `storedBytes` 포함한 로그 그룹 목록이 포함된 JSON 문자열입니다.\n\n### get\\_logs\n\n특정 로그 그룹에서 CloudWatch 로그를 가져옵니다.\n\n**매개변수:**\n\n* `logGroupName` (필수): 로그 그룹의 이름\n* `logStreamName` (선택 사항): 로그 스트림의 이름\n* `startTime` (선택 사항): ISO 형식의 시작 시간 또는 상대 시간(예: \"5m\", \"1h\", \"1d\")\n* `endTime` (선택 사항): ISO 형식의 종료 시간\n* `filterPattern` (선택 사항): 로그에 대한 필터 패턴\n* `region` (선택 사항): AWS 지역\n* `accessKeyId` (선택 사항): AWS 액세스 키 ID\n* `secretAccessKey` (선택 사항): AWS 비밀 액세스 키\n* `sessionToken` (선택 사항): AWS 세션 토큰\n\n**반환:** `timestamp` , `message` , `logStreamName` 포함한 로그 이벤트가 포함된 JSON 문자열입니다.\n\n## 설정\n\n### AWS 자격 증명\n\nAWS 자격 증명이 구성되어 있는지 확인하세요. AWS CLI를 사용하거나 환경 변수를 설정하여 설정할 수 있습니다.\n\n* `AWS_ACCESS_KEY_ID`\n* `AWS_SECRET_ACCESS_KEY`\n\n### Claude Desktop과 함께 사용\n\n`claude_desktop_config.json` 에 다음을 추가하세요.\n\n지엑스피1\n\n### 도커\n\nDocker 컨테이너에서 서버를 실행하려면 Dockerfile을 설정하고 다음 구성을 사용할 수 있습니다.\n\n```json\n{\n \"mcpServers\": {\n \"cloudwatch-logs\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AWS_ACCESS_KEY_ID\",\n \"-e\",\n \"AWS_SECRET_ACCESS_KEY\",\n \"mcp/cloudwatch-logs\"\n ],\n \"env\": {\n \"AWS_ACCESS_KEY_ID\": \"\",\n \"AWS_SECRET_ACCESS_KEY\": \"\",\n }\n }\n }\n}\n```\n\n## 구현 세부 사항\n\n이 서버는 MCP SDK의 FastMCP 클래스를 사용하여 구축되었으며, 이를 통해 MCP 서버를 간편하게 생성할 수 있습니다. 이 서버는 두 가지 주요 도구를 제공합니다.\n\n1. `list_groups` : 사용 가능한 CloudWatch 로그 그룹을 나열합니다.\n2. `get_logs` : 특정 로그 그룹의 로그 항목을 읽습니다.\n\n각 도구는 `@mcp.tool()` 로 데코레이팅된 비동기 함수로 구현됩니다. 서버는 boto3 라이브러리를 사용하여 AWS CloudWatch Logs API와 상호 작용합니다.\n\n## 특허\n\nMIT","Korean","ko-KR",{"_27":60,"_31":64,"_36":65},{"_29":61,"_31":62,"_33":63},"MCP 服务器允许 AI 助手通过列出日志组和读取日志条目来访问 AWS CloudWatch 日志。","CloudWatch Logs MCP 服务器","# CloudWatch Logs MCP 服务器\n\n一个 MCP（模型上下文协议）服务器，提供用于访问 AWS CloudWatch 日志的工具。该服务器允许 AI 助手列出日志组并从 AWS CloudWatch 读取日志条目。\n\n## 可用工具\n\n### 列表组\n\n列出可用的 CloudWatch 日志组。\n\n**参数：**\n\n* `prefix` （可选）：日志组名称前缀\n* `region` （可选）：AWS 区域\n* `accessKeyId` （可选）：AWS 访问密钥 ID\n* `secretAccessKey` （可选）：AWS 秘密访问密钥\n* `sessionToken` （可选）：AWS 会话令牌\n\n\\*\\*返回：\\*\\*带有日志组列表的 JSON 字符串，包括`logGroupName` 、 `creationTime`和`storedBytes` 。\n\n### 获取日志\n\n从特定日志组获取 CloudWatch 日志。\n\n**参数：**\n\n* `logGroupName` （必需）：日志组的名称\n* `logStreamName` （可选）：日志流的名称\n* `startTime` （可选）：ISO 格式或相对时间的开始时间（例如“5m”、“1h”、“1d”）\n* `endTime` （可选）：ISO 格式的结束时间\n* `filterPattern` （可选）：日志的过滤模式\n* `region` （可选）：AWS 区域\n* `accessKeyId` （可选）：AWS 访问密钥 ID\n* `secretAccessKey` （可选）：AWS 秘密访问密钥\n* `sessionToken` （可选）：AWS 会话令牌\n\n\\*\\*返回：\\*\\*带有日志事件的 JSON 字符串，包括`timestamp` 、 `message`和`logStreamName` 。\n\n## 设置\n\n### AWS 凭证\n\n确保已配置 AWS 凭证。您可以使用 AWS CLI 或通过设置环境变量来设置它们：\n\n* `AWS_ACCESS_KEY_ID`\n* `AWS_SECRET_ACCESS_KEY`\n\n### 与 Claude Desktop 一起使用\n\n将以下内容添加到您的`claude_desktop_config.json`中：\n\n```json\n{\n \"mcpServers\": {\n \"cloudwatch-logs\": {\n \"command\": \"python3\",\n \"args\": [\"/path/to/cloudwatch-logs-mcp/main.py\"],\n \"env\": {\n \"AWS_ACCESS_KEY_ID\": \"\",\n \"AWS_SECRET_ACCESS_KEY\": \"\",\n },\n \"disabled\": false,\n \"autoApprove\": []\n }\n }\n}\n```\n\n### Docker\n\n如果您希望在 Docker 容器中运行服务器，则可以设置 Dockerfile 并使用以下配置：\n\n```json\n{\n \"mcpServers\": {\n \"cloudwatch-logs\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AWS_ACCESS_KEY_ID\",\n \"-e\",\n \"AWS_SECRET_ACCESS_KEY\",\n \"mcp/cloudwatch-logs\"\n ],\n \"env\": {\n \"AWS_ACCESS_KEY_ID\": \"\",\n \"AWS_SECRET_ACCESS_KEY\": \"\",\n }\n }\n }\n}\n```\n\n## 实现细节\n\n此服务器使用 MCP SDK 中的 FastMCP 类构建，该类提供了一种创建 MCP 服务器的简便方法。该服务器公开了两个主要工具：\n\n1. `list_groups` ：列出可用的 CloudWatch 日志组\n2. `get_logs` 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