[{"_1":2,"_345":-5,"_346":-5},"loaderData",{"_3":4,"_20":21,"_22":23,"_260":261},"root",{"_5":6,"_7":8},"toasts",[],"visitor",{"_9":10,"_11":12},"viewportWidth",1280,"visitorSession",{"_13":14,"_16":-5,"_17":18,"_19":-5},"attributes",[15],"BOT","membership","uid","bij4oOc1rT","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_24":25,"_66":-5,"_67":26,"_27":68,"_176":177,"_258":259},"availableLocales",[26,38,45,52,59],{"_27":28,"_31":35,"_36":37},"mcpServer",{"_29":30,"_31":32,"_33":34},"description","Pause execution for a specified duration to control the flow of your agents. Enhance your automation by introducing timed delays, ensuring tasks are executed in the desired sequence. Ideal for managing workflows that require waiting periods between actions.","name","mcp-sleep","readme","# Sleep MCP Server\n\n[![smithery badge](https://smithery.ai/badge/@AgentsWorkingTogether/mcp-sleep)](https://smithery.ai/server/@AgentsWorkingTogether/mcp-sleep)\n\nThis MCP server attempts to pause execution for a specified duration to control the flow of your agents. Enhance your automation by introducing timed delays, ensuring tasks are executed in the desired sequence. Ideal for managing workflows that require waiting periods between actions.\n\n\n\n $\"Sleep$ \n\n\n## Setup\n\n### Installation\n\n#### Using MCP package managers\n\n**Smithery**\n\nTo install Sleep MCP for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@AgentsWorkingTogether/mcp-sleep):\n\n```bash\nnpx @smithery/cli install @AgentsWorkingTogether/mcp-sleep --client claude\n```\n\n**mcp-get**\n\nYou can install the Sleep MCP server using [mcp-get](https://github.com/michaellatman/mcp-get):\n\n```bash\nnpx @michaellatman/mcp-get@latest install mcp-sleep\n```\n\n### Prerequisites\n\nMCP is still very new and evolving, we recommend following the [MCP documentation](https://modelcontextprotocol.io/quickstart#prerequisites) to get the MCP basics up and running.\n\nYou'll need:\n- [Claude Desktop](https://claude.ai/)\n- [uv](https://docs.astral.sh/uv/getting-started/installation/)\n\n### Configuration\n\n#### 1. Configure Claude Desktop\n\nCreate the following file depending on your OS:\n\nOn MacOS: `~/Library/Application\\ Support/Claude/claude_desktop_config.json`\n\nOn Windows: `%APPDATA%/Claude/claude_desktop_config.json`\n\nPaste this template in the file\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ],\n }\n }\n}\n```\nOptionally, it replace `` with your timeout ( maximum time allowed to wait, default 60 seconds ):\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ],\n \"env\": {\n \"MCP_SLEEP_TIMEOUT\": \"\"\n }\n }\n }\n}\n```\n\n#### 2. Restart Claude Desktop\n\n\n#### SSE mode\n\nAlternatively, you can run the MCP server in SSE mode by running the following command:\n\n```bash\nuvx mcp-sleep --transport sse\n```\n\nThis mode is useful to integrate with an MCP client that supports SSE (like a web app).\n\n\n## Tools\n\n1. `sleep`\n - Pause execution for a specified duration to control the flow of your agents.\n - Inputs:\n - `seconds` (number, max timeout config value): Seconds it will take me to tell you to continue\n - Returns: You will receive the sentence after {seconds} \"You can continue to do your task after you've been waiting {seconds} seconds\". If you enter a waiting time greater than the maximum time the result will be \"My configuration does not allow me to make you wait more than {ctx.sleep.config.timeout} seconds\"\n\n\n### Usage with Claude Desktop\nTo use this with Claude Desktop, add the following to your `claude_desktop_config.json`:\n\n#### Docker\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"MCP_SLEEP_TIMEOUT\",\n \"mcp/sleep\"\n ],\n \"env\": {\n \"MCP_SLEEP_TIMEOUT\": \"\"\n }\n }\n }\n}\n```\n\n\n## Development\n\n### Config\nIf you are working locally add two environment variables to a `.env` file in the root of the repository:\n\n```sh\nMCP_SLEEP_TIMEOUT=\n```\n\nFor local development, update your Claude Desktop configuration:\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep_local\": {\n \"command\": \"uv\",\n \"args\": [\n \"run\",\n \"--directory\",\n \"/path/to/your/mcp-sleep\",\n \"run\",\n \"mcp-sleep\"\n ]\n }\n }\n}\n```\n\n

Published Servers Configuration

\n\n ```json\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ]\n }\n }\n ```\n

\n\n### Building and Publishing\n\nTo prepare the package for distribution:\n\n1. Sync dependencies and update lockfile:\n```bash\nuv sync\n```\n\n2. Build package distributions:\n```bash\nuv build\n```\n\nThis will create source and wheel distributions in the `dist/` directory.\n\n3. Publish to PyPI:\n```bash\nuv publish\n```\n\nNote: You'll need to set PyPI credentials via environment variables or command flags:\n- Token: `--token` or `UV_PUBLISH_TOKEN`\n- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`\n\nDocker build:\n\n```bash\ndocker build -t mcp/sleep -f Dockerfile .\n```\n\n\n### Debugging\n\nSince MCP servers run over stdio, debugging can be challenging. For the best debugging\nexperience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).\n\n\nYou can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:\n\n```bash\nnpx @modelcontextprotocol/inspector uv --directory /path/to/your/mcp-sleep run mcp-sleep\n```\n\nUpon launching, the Inspector will display a URL that you can access in your browser to begin debugging.\n\n","English","tag","en-US",{"_27":39,"_31":43,"_36":44},{"_29":40,"_31":41,"_33":42},"Pause la ejecución durante un tiempo específico para controlar el flujo de sus agentes. Mejore su automatización con retrasos programados, lo que garantiza que las tareas se ejecuten en la secuencia deseada. Ideal para gestionar flujos de trabajo que requieren tiempos de espera entre acciones.","mcp-sueño","# Servidor MCP de suspensión\n\n[![insignia de herrería](https://smithery.ai/badge/@AgentsWorkingTogether/mcp-sleep)](https://smithery.ai/server/@AgentsWorkingTogether/mcp-sleep)\n\nEste servidor MCP intenta pausar la ejecución durante un tiempo específico para controlar el flujo de sus agentes. Mejore su automatización introduciendo retrasos programados, lo que garantiza que las tareas se ejecuten en la secuencia deseada. Ideal para gestionar flujos de trabajo que requieren tiempos de espera entre acciones.\n\n## Configuración\n\n### Instalación\n\n#### Uso de administradores de paquetes MCP\n\n**Herrería**\n\nPara instalar Sleep MCP para Claude Desktop automáticamente a través de [Smithery](https://smithery.ai/server/@AgentsWorkingTogether/mcp-sleep) :\n\n```bash\nnpx @smithery/cli install @AgentsWorkingTogether/mcp-sleep --client claude\n```\n\n**mcp-get**\n\nPuede instalar el servidor Sleep MCP usando [mcp-get](https://github.com/michaellatman/mcp-get) :\n\n```bash\nnpx @michaellatman/mcp-get@latest install mcp-sleep\n```\n\n### Prerrequisitos\n\nMCP todavía es muy nuevo y está en constante evolución; recomendamos seguir la [documentación de MCP](https://modelcontextprotocol.io/quickstart#prerequisites) para poner en funcionamiento los conceptos básicos de MCP.\n\nNecesitarás:\n\n* [Escritorio de Claude](https://claude.ai/)\n* [ultravioleta](https://docs.astral.sh/uv/getting-started/installation/)\n\n### Configuración\n\n#### 1. Configurar Claude Desktop\n\nCrea el siguiente archivo dependiendo de tu sistema operativo:\n\nEn MacOS: `~/Library/Application\\ Support/Claude/claude_desktop_config.json`\n\nEn Windows: `%APPDATA%/Claude/claude_desktop_config.json`\n\nPegue esta plantilla en el archivo\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ],\n }\n }\n}\n```\n\nOpcionalmente, reemplace `` con su tiempo de espera (tiempo máximo permitido de espera, predeterminado 60 segundos):\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ],\n \"env\": {\n \"MCP_SLEEP_TIMEOUT\": \"\"\n }\n }\n }\n}\n```\n\n#### 2. Reinicie Claude Desktop\n\n#### Modo SSE\n\nAlternativamente, puede ejecutar el servidor MCP en modo SSE ejecutando el siguiente comando:\n\n```bash\nuvx mcp-sleep --transport sse\n```\n\nEste modo es útil para integrarse con un cliente MCP que admita SSE (como una aplicación web).\n\n## Herramientas\n\n1. `sleep`\n\n * Pausa la ejecución durante una duración específica para controlar el flujo de tus agentes.\n * Entradas:\n * `seconds` (número, valor de configuración de tiempo de espera máximo): Segundos que me tomará indicarle que continúe\n * Devuelve: Recibirá la sentencia después de {segundos}: \"Puede continuar con su tarea después de esperar {segundos}\". Si introduce un tiempo de espera mayor que el máximo, el resultado será: \"Mi configuración no me permite hacerle esperar más de {ctx.sleep.config.timeout} segundos\".\n\n### Uso con Claude Desktop\n\nPara usar esto con Claude Desktop, agregue lo siguiente a su `claude_desktop_config.json` :\n\n#### Estibador\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"MCP_SLEEP_TIMEOUT\",\n \"mcp/sleep\"\n ],\n \"env\": {\n \"MCP_SLEEP_TIMEOUT\": \"\"\n }\n }\n }\n}\n```\n\n## Desarrollo\n\n### Configuración\n\nSi está trabajando localmente, agregue dos variables de entorno a un archivo `.env` en la raíz del repositorio:\n\n```sh\nMCP_SLEEP_TIMEOUT=\n```\n\nPara el desarrollo local, actualice la configuración de Claude Desktop:\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep_local\": {\n \"command\": \"uv\",\n \"args\": [\n \"run\",\n \"--directory\",\n \"/path/to/your/mcp-sleep\",\n \"run\",\n \"mcp-sleep\"\n ]\n }\n }\n}\n```\n\n```json\n\"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ]\n }\n}\n```\n\n### Construcción y publicación\n\nPara preparar el paquete para su distribución:\n\n1. Sincronizar dependencias y actualizar el archivo de bloqueo:\n\n```bash\nuv sync\n```\n\n2. Distribuciones de paquetes de compilación:\n\n```bash\nuv build\n```\n\nEsto creará distribuciones de origen y de rueda en el directorio `dist/` .\n\n3. Publicar en PyPI:\n\n```bash\nuv publish\n```\n\nNota: Deberás configurar las credenciales de PyPI a través de variables de entorno o indicadores de comando:\n\n* Token: `--token` o `UV_PUBLISH_TOKEN`\n* O nombre de usuario/contraseña: `--username` / `UV_PUBLISH_USERNAME` y `--password` / `UV_PUBLISH_PASSWORD`\n\nCompilación de Docker:\n\n```bash\ndocker build -t mcp/sleep -f Dockerfile .\n```\n\n### Depuración\n\nDado que los servidores MCP se ejecutan en stdio, la depuración puede ser complicada. Para una experiencia óptima, recomendamos usar el [Inspector MCP](https://github.com/modelcontextprotocol/inspector) .\n\nPuede iniciar el Inspector MCP a través de [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) con este comando:\n\n```bash\nnpx @modelcontextprotocol/inspector uv --directory /path/to/your/mcp-sleep run mcp-sleep\n```\n\nAl iniciarse, el Inspector mostrará una URL a la que podrá acceder en su navegador para comenzar a depurar.","Spanish","es-ES",{"_27":46,"_31":50,"_36":51},{"_29":47,"_31":48,"_33":49},"エージェントのフローを制御するために、指定期間実行を一時停止します。時間指定の遅延を導入することで自動化を強化し、タスクが所定の順序で実行されるようにします。アクション間に待機期間を必要とするワークフローの管理に最適です。","mcp-スリープ","# スリープMCPサーバー\n\n[![鍛冶屋のバッジ](https://smithery.ai/badge/@AgentsWorkingTogether/mcp-sleep)](https://smithery.ai/server/@AgentsWorkingTogether/mcp-sleep)\n\nこのMCPサーバーは、エージェントのフローを制御するために、指定された期間実行を一時停止しようとします。時間指定の遅延を導入することで自動化を強化し、タスクが所定の順序で実行されるようにします。アクション間に待機期間を必要とするワークフローの管理に最適です。\n\n## 設定\n\n### インストール\n\n#### MCP パッケージマネージャーの使用\n\n**鍛冶屋**\n\n[Smithery](https://smithery.ai/server/@AgentsWorkingTogether/mcp-sleep)経由で Claude Desktop 用の Sleep MCP を自動的にインストールするには:\n\n```bash\nnpx @smithery/cli install @AgentsWorkingTogether/mcp-sleep --client claude\n```\n\n**mcp-get**\n\nSleep MCP サーバーは[mcp-get](https://github.com/michaellatman/mcp-get)を使用してインストールできます。\n\n```bash\nnpx @michaellatman/mcp-get@latest install mcp-sleep\n```\n\n### 前提条件\n\nMCP はまだ非常に新しく、進化を続けています。MCP の基本を理解して実行するには、 [MCP ドキュメント](https://modelcontextprotocol.io/quickstart#prerequisites)に従うことをお勧めします。\n\n必要なもの:\n\n* [クロードデスクトップ](https://claude.ai/)\n* [紫外線](https://docs.astral.sh/uv/getting-started/installation/)\n\n### 構成\n\n#### 1. Claudeデスクトップを設定する\n\nOSに応じて次のファイルを作成します。\n\nMacOSの場合: `~/Library/Application\\ Support/Claude/claude_desktop_config.json`\n\nWindows の場合: `%APPDATA%/Claude/claude_desktop_config.json`\n\nこのテンプレートをファイルに貼り付けます\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ],\n }\n }\n}\n```\n\nオプションで、 ``タイムアウト (待機できる最大時間、デフォルトは 60 秒) に置き換えます。\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ],\n \"env\": {\n \"MCP_SLEEP_TIMEOUT\": \"\"\n }\n }\n }\n}\n```\n\n#### 2. Claude Desktopを再起動します\n\n#### SSEモード\n\nあるいは、次のコマンドを実行して、MCP サーバーを SSE モードで実行することもできます。\n\n```bash\nuvx mcp-sleep --transport sse\n```\n\nこのモードは、SSE をサポートする MCP クライアント (Web アプリなど) と統合する場合に便利です。\n\n## ツール\n\n1. `sleep`\n\n * 指定された期間実行を一時停止して、エージェントのフローを制御します。\n * 入力:\n * `seconds` （数値、最大タイムアウト設定値）：続行を通知するまでの秒数\n * 戻り値: {seconds} 後に「{seconds} 秒待機した後、タスクを続行できます」というメッセージが表示されます。最大待機時間よりも長い待機時間を入力した場合、「設定により、{ctx.sleep.config.timeout} 秒以上待機させることはできません」というメッセージが表示されます。\n\n### Claude Desktopでの使用\n\nClaude Desktop でこれを使用するには、 `claude_desktop_config.json`に以下を追加します。\n\n#### ドッカー\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"MCP_SLEEP_TIMEOUT\",\n \"mcp/sleep\"\n ],\n \"env\": {\n \"MCP_SLEEP_TIMEOUT\": \"\"\n }\n }\n }\n}\n```\n\n## 発達\n\n### 設定\n\nローカルで作業している場合は、リポジトリのルートにある`.env`ファイルに 2 つの環境変数を追加します。\n\n```sh\nMCP_SLEEP_TIMEOUT=\n```\n\nローカル開発の場合は、Claude Desktop の構成を更新します。\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep_local\": {\n \"command\": \"uv\",\n \"args\": [\n \"run\",\n \"--directory\",\n \"/path/to/your/mcp-sleep\",\n \"run\",\n \"mcp-sleep\"\n ]\n }\n }\n}\n```\n\n```json\n\"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ]\n }\n}\n```\n\n### 建築と出版\n\n配布用のパッケージを準備するには:\n\n1. 依存関係を同期し、ロックファイルを更新します。\n\n```bash\nuv sync\n```\n\n2. パッケージディストリビューションをビルドします。\n\n```bash\nuv build\n```\n\nこれにより、 `dist/`ディレクトリにソースとホイールのディストリビューションが作成されます。\n\n3. PyPI に公開:\n\n```bash\nuv publish\n```\n\n注: 環境変数またはコマンドフラグを使用して PyPI 資格情報を設定する必要があります。\n\n* トークン: `--token`または`UV_PUBLISH_TOKEN`\n* またはユーザー名/パスワード: `--username` / `UV_PUBLISH_USERNAME`および`--password` / `UV_PUBLISH_PASSWORD`\n\nDockerビルド:\n\n```bash\ndocker build -t mcp/sleep -f Dockerfile .\n```\n\n### デバッグ\n\nMCPサーバーはstdio経由で実行されるため、デバッグが困難になる場合があります。最適なデバッグ環境を実現するには、 [MCP Inspectorの](https://github.com/modelcontextprotocol/inspector)使用を強くお勧めします。\n\n次のコマンドを使用して、 [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)経由で MCP Inspector を起動できます。\n\n```bash\nnpx @modelcontextprotocol/inspector uv --directory /path/to/your/mcp-sleep run mcp-sleep\n```\n\n起動すると、ブラウザでアクセスしてデバッグを開始できる URL がインスペクタに表示されます。","Japanese","ja-JP",{"_27":53,"_31":57,"_36":58},{"_29":54,"_31":55,"_33":56},"에이전트의 흐름을 제어하기 위해 지정된 시간 동안 실행을 일시 중지합니다. 시간 지연을 도입하여 작업이 원하는 순서대로 실행되도록 자동화를 강화합니다. 작업 간 대기 시간이 필요한 워크플로 관리에 이상적입니다.","mcp-수면","# Sleep MCP 서버\n\n[![대장간 배지](https://smithery.ai/badge/@AgentsWorkingTogether/mcp-sleep)](https://smithery.ai/server/@AgentsWorkingTogether/mcp-sleep)\n\n이 MCP 서버는 에이전트 흐름을 제어하기 위해 지정된 시간 동안 실행을 일시 중지합니다. 시간 지연을 도입하여 작업이 원하는 순서대로 실행되도록 자동화를 강화하세요. 작업 간 대기 시간이 필요한 워크플로 관리에 이상적입니다.\n\n## 설정\n\n### 설치\n\n#### MCP 패키지 관리자 사용\n\n**대장간**\n\n[Smithery를](https://smithery.ai/server/@AgentsWorkingTogether/mcp-sleep) 통해 Claude Desktop용 Sleep MCP를 자동으로 설치하려면:\n\n지엑스피1\n\n**mcp-get**\n\n[mcp-get을](https://github.com/michaellatman/mcp-get) 사용하여 Sleep MCP 서버를 설치할 수 있습니다.\n\n```bash\nnpx @michaellatman/mcp-get@latest install mcp-sleep\n```\n\n### 필수 조건\n\nMCP는 아직 매우 새롭고 계속 발전하고 있으므로 MCP 기본 사항을 익히고 실행하려면 [MCP 설명서를](https://modelcontextprotocol.io/quickstart#prerequisites) 따르는 것이 좋습니다.\n\n필요한 것:\n\n* [클로드 데스크탑](https://claude.ai/)\n* [자외선](https://docs.astral.sh/uv/getting-started/installation/)\n\n### 구성\n\n#### 1. Claude Desktop 구성\n\nOS에 따라 다음 파일을 만듭니다.\n\nMacOS의 경우: `~/Library/Application\\ Support/Claude/claude_desktop_config.json`\n\nWindows의 경우: `%APPDATA%/Claude/claude_desktop_config.json`\n\n이 템플릿을 파일에 붙여넣으세요\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ],\n }\n }\n}\n```\n\n선택적으로 `` 원하는 시간 제한(대기할 수 있는 최대 시간, 기본값 60초)으로 바꾸세요.\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ],\n \"env\": {\n \"MCP_SLEEP_TIMEOUT\": \"\"\n }\n }\n }\n}\n```\n\n#### 2. Claude Desktop을 다시 시작하세요\n\n#### SSE 모드\n\n또는 다음 명령을 실행하여 SSE 모드에서 MCP 서버를 실행할 수 있습니다.\n\n```bash\nuvx mcp-sleep --transport sse\n```\n\n이 모드는 SSE를 지원하는 MCP 클라이언트(웹 앱 등)와 통합하는 데 유용합니다.\n\n## 도구\n\n1. `sleep`\n\n * 에이전트의 흐름을 제어하기 위해 지정된 기간 동안 실행을 일시 중지합니다.\n * 입력:\n * `seconds` (숫자, 최대 시간 초과 구성 값): 계속 진행하라는 메시지를 표시하는 데 걸리는 시간(초)\n * 반환: {seconds} 후에 \"{seconds}초 동안 기다린 후 작업을 계속할 수 있습니다.\"라는 문장이 표시됩니다. 최대 대기 시간보다 큰 대기 시간을 입력하면 \"구성상 {ctx.sleep.config.timeout}초 이상 대기할 수 없습니다.\"라는 결과가 표시됩니다.\n\n### Claude Desktop과 함께 사용\n\nClaude Desktop과 함께 사용하려면 `claude_desktop_config.json` 에 다음을 추가하세요.\n\n#### 도커\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"MCP_SLEEP_TIMEOUT\",\n \"mcp/sleep\"\n ],\n \"env\": {\n \"MCP_SLEEP_TIMEOUT\": \"\"\n }\n }\n }\n}\n```\n\n## 개발\n\n### 구성\n\n로컬로 작업하는 경우 저장소 루트에 있는 `.env` 파일에 두 개의 환경 변수를 추가합니다.\n\n```sh\nMCP_SLEEP_TIMEOUT=\n```\n\n로컬 개발을 위해 Claude Desktop 구성을 업데이트하세요.\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep_local\": {\n \"command\": \"uv\",\n \"args\": [\n \"run\",\n \"--directory\",\n \"/path/to/your/mcp-sleep\",\n \"run\",\n \"mcp-sleep\"\n ]\n }\n }\n}\n```\n\n```json\n\"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ]\n }\n}\n```\n\n### 건축 및 출판\n\n배포를 위해 패키지를 준비하려면:\n\n1. 종속성 동기화 및 잠금 파일 업데이트:\n\n```bash\nuv sync\n```\n\n2. 패키지 배포 빌드:\n\n```bash\nuv build\n```\n\n이렇게 하면 `dist/` 디렉토리에 소스와 휠 배포판이 생성됩니다.\n\n3. PyPI에 게시:\n\n```bash\nuv publish\n```\n\n참고: 환경 변수나 명령 플래그를 통해 PyPI 자격 증명을 설정해야 합니다.\n\n* 토큰: `--token` 또는 `UV_PUBLISH_TOKEN`\n* 또는 사용자 이름/비밀번호: `--username` / `UV_PUBLISH_USERNAME` 및 `--password` / `UV_PUBLISH_PASSWORD`\n\nDocker 빌드:\n\n```bash\ndocker build -t mcp/sleep -f Dockerfile .\n```\n\n### 디버깅\n\nMCP 서버는 stdio를 통해 실행되므로 디버깅이 어려울 수 있습니다. 최상의 디버깅 환경을 위해서는 [MCP Inspector](https://github.com/modelcontextprotocol/inspector) 사용을 강력히 권장합니다.\n\n다음 명령을 사용하여 [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) 통해 MCP Inspector를 시작할 수 있습니다.\n\n```bash\nnpx @modelcontextprotocol/inspector uv --directory /path/to/your/mcp-sleep run mcp-sleep\n```\n\nInspector를 실행하면 브라우저에서 접근하여 디버깅을 시작할 수 있는 URL이 표시됩니다.","Korean","ko-KR",{"_27":60,"_31":64,"_36":65},{"_29":61,"_31":62,"_33":63},"暂停执行指定时长，以控制代理的流程。通过引入定时延迟来增强自动化，确保任务按所需顺序执行。非常适合管理操作之间需要等待一段时间的工作流。","mcp-睡眠","# 睡眠 MCP 服务器\n\n[![铁匠徽章](https://smithery.ai/badge/@AgentsWorkingTogether/mcp-sleep)](https://smithery.ai/server/@AgentsWorkingTogether/mcp-sleep)\n\n此 MCP 服务器会尝试暂停执行指定时间，以控制代理的流量。通过引入定时延迟来增强自动化，确保任务按所需顺序执行。非常适合管理操作之间需要等待一段时间的工作流。\n\n## 设置\n\n### 安装\n\n#### 使用 MCP 包管理器\n\n**锻造工艺**\n\n要通过[Smithery](https://smithery.ai/server/@AgentsWorkingTogether/mcp-sleep)自动为 Claude Desktop 安装 Sleep MCP：\n\n```bash\nnpx @smithery/cli install @AgentsWorkingTogether/mcp-sleep --client claude\n```\n\n**mcp-获取**\n\n您可以使用[mcp-get](https://github.com/michaellatman/mcp-get)安装 Sleep MCP 服务器：\n\n```bash\nnpx @michaellatman/mcp-get@latest install mcp-sleep\n```\n\n### 先决条件\n\nMCP 仍然非常新并且正在不断发展，我们建议遵循[MCP 文档](https://modelcontextprotocol.io/quickstart#prerequisites)来了解并运行 MCP 基础知识。\n\n你需要：\n\n* [克劳德桌面](https://claude.ai/)\n* [紫外线](https://docs.astral.sh/uv/getting-started/installation/)\n\n### 配置\n\n#### 1.配置Claude桌面\n\n根据您的操作系统创建以下文件：\n\n在 MacOS 上： `~/Library/Application\\ Support/Claude/claude_desktop_config.json`\n\n在 Windows 上： `%APPDATA%/Claude/claude_desktop_config.json`\n\n将此模板粘贴到文件中\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ],\n }\n }\n}\n```\n\n或者，用您的超时值（允许等待的最长时间，默认为 60 秒）替换`` ：\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ],\n \"env\": {\n \"MCP_SLEEP_TIMEOUT\": \"\"\n }\n }\n }\n}\n```\n\n#### 2. 重启 Claude Desktop\n\n#### SSE 模式\n\n或者，您可以通过运行以下命令以 SSE 模式运行 MCP 服务器：\n\n```bash\nuvx mcp-sleep --transport sse\n```\n\n此模式对于与支持 SSE 的 MCP 客户端（如 Web 应用程序）集成很有用。\n\n## 工具\n\n1. `sleep`\n\n * 暂停执行指定的时间以控制代理的流量。\n * 输入：\n * `seconds` （数字，最大超时配置值）：我需要多少秒才能告诉您继续\n * 返回：{seconds} 秒后，您将收到“您可以等待 {seconds} 秒后继续执行您的任务”的语句。如果您输入的等待时间大于最大时间，则结果将为“我的配置不允许我让您等待超过 {ctx.sleep.config.timeout} 秒”。\n\n### 与 Claude Desktop 一起使用\n\n要将其与 Claude Desktop 一起使用，请将以下内容添加到您的`claude_desktop_config.json`中：\n\n#### Docker\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"MCP_SLEEP_TIMEOUT\",\n \"mcp/sleep\"\n ],\n \"env\": {\n \"MCP_SLEEP_TIMEOUT\": \"\"\n }\n }\n }\n}\n```\n\n## 发展\n\n### 配置\n\n如果您在本地工作，请将两个环境变量添加到存储库根目录中的`.env`文件：\n\n```sh\nMCP_SLEEP_TIMEOUT=\n```\n\n对于本地开发，请更新您的 Claude Desktop 配置：\n\n```json\n{\n \"mcpServers\": {\n \"mcp-sleep_local\": {\n \"command\": \"uv\",\n \"args\": [\n \"run\",\n \"--directory\",\n \"/path/to/your/mcp-sleep\",\n \"run\",\n \"mcp-sleep\"\n ]\n }\n }\n}\n```\n\n```json\n\"mcpServers\": {\n \"mcp-sleep\": {\n \"command\": \"uvx\",\n \"args\": [\n \"mcp-sleep\"\n ]\n }\n}\n```\n\n### 构建和发布\n\n准备分发包：\n\n1. 同步依赖项并更新锁文件：\n\n```bash\nuv sync\n```\n\n2. 构建软件包分发版：\n\n```bash\nuv build\n```\n\n这将在`dist/`目录中创建源和轮子分布。\n\n3. 发布到 PyPI：\n\n```bash\nuv publish\n```\n\n注意：您需要通过环境变量或命令标志设置 PyPI 凭据：\n\n* 令牌： `--token`或`UV_PUBLISH_TOKEN`\n* 或用户名/密码： `--username` / `UV_PUBLISH_USERNAME`和`--password` / `UV_PUBLISH_PASSWORD`\n\nDocker 构建：\n\n```bash\ndocker 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