[{"_1":2,"_319":-5,"_320":-5},"loaderData",{"_3":4,"_22":23,"_24":25,"_260":261},"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",6136521,"membership","referenceId","0196b27f-3249-77e2-a879-654d6ebee9c9","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":27,"_81":-5,"_82":40,"_29":83,"_176":177,"_258":259},"availableLocales",[28,40,46,53,60,67,74],{"_29":30,"_33":37,"_38":39},"mcpServer",{"_31":32,"_33":34,"_35":36},"description","Ein MCP-Server, der mehrere Claude-Instanzen nutzt, um verbesserte Antworten bereitzustellen, indem er dieselbe Eingabeaufforderung an zwei separate Instanzen sendet und eine dritte verwendet, um die besten Elemente zu kombinieren oder auszuwählen.","name","Twosplit MCP Server","readme","# Twosplit MCP Server\n\nEin MCP-Server, der mehrere Claude-Instanzen nutzt, um erweiterte Antworten bereitzustellen. Er sendet dieselbe Eingabeaufforderung an zwei separate Claude-Instanzen und verwendet eine dritte Instanz, um die besten Elemente aus beiden Antworten zu kombinieren oder auszuwählen.\n\n## Merkmale\n\n* Unterstützt mehrere Claude-Modelle:\n * Claude-3-Opus-Neueste\n * Claude-3-5-Sonett-Neueste\n * Claude-3-5-Haiku-Neueste\n * claude-3-haiku-20240307\n* Erhält einzelne, direkte Antworten von jeder KI\n* Zeigt Originalantworten und Quellenangaben\n* Gibt optimierte Endantwort zurück\n\n## Installation\n\n1. Klonen Sie das Repository\n2. Installieren Sie Abhängigkeiten:\n\n```bash\nnpm install\n```\n\n3. Erstellen Sie den Server:\n\n```bash\nnpm run build\n```\n\n## Konfiguration\n\nDer Server benötigt einen Anthropic API-Schlüssel, um zu funktionieren. Legen Sie ihn als Umgebungsvariable fest:\n\n```bash\nexport ANTHROPIC_API_KEY=your-api-key-here\n```\n\n## Verwendung\n\nDer Server stellt ein einzelnes Tool namens `twosplit` mit den folgenden Parametern bereit:\n\n* `prompt` (erforderlich): Die Eingabeaufforderung zum Senden an Claude\n* `model` (erforderlich): Das zu verwendende Claude-Modell (muss eines der oben aufgeführten unterstützten Modelle sein)\n\nBeispiel für die Verwendung von Werkzeugen in Claude:\n\n```\n\ntwosplit\ntwosplit\n\n{\n \"prompt\": \"Write a short story about a robot learning to paint\",\n \"model\": \"claude-3-5-sonnet-latest\"\n}\n\n\n```\n\nDie Antwort enthält:\n\n1. Die endgültige optimierte Antwort\n2. Originalantworten beider KIs\n3. Quellenangabe, die zeigt, welche Teile von welcher KI stammen\n\n## So funktioniert es\n\n1. Der Server sendet die gleiche Eingabeaufforderung an zwei separate Instanzen des angegebenen Claude-Modells und fordert eine einzige direkte Antwort an\n2. Eine dritte Instanz analysiert beide Antworten und führt entweder Folgendes aus:\n * Wählt die beste Einzelantwort aus, wenn eine eindeutig überlegen ist\n * Erstellt eine neue Antwort, die die besten Elemente aus beiden Antworten kombiniert\n3. Die endgültige Antwort, die ursprünglichen Antworten und die Quellenangabe sind alle in der Ausgabe enthalten\n\n## Entwicklung\n\nSo führen Sie den Server während der Entwicklung im Überwachungsmodus aus:\n\n```bash\nnpm run watch\n```\n\nSo überprüfen Sie die Fähigkeiten des Servers:\n\n```bash\nnpm run inspector\n```","German","tag","de-DE",{"_29":41,"_33":44,"_38":45},{"_31":42,"_33":34,"_35":43},"An MCP server that leverages multiple Claude instances to provide enhanced responses by sending the same prompt to two separate instances and using a third to combine or select the best elements.","# Twosplit MCP Server\n\nAn MCP server that leverages multiple Claude instances to provide enhanced responses. It sends the same prompt to two separate instances of Claude and uses a third instance to combine or select the best elements from both responses.\n\n## Features\n\n- Supports multiple Claude models:\n - claude-3-opus-latest\n - claude-3-5-sonnet-latest\n - claude-3-5-haiku-latest\n - claude-3-haiku-20240307\n- Gets single, direct responses from each AI\n- Shows original responses and source attribution\n- Returns optimized final response\n\n## Installation\n\n1. Clone the repository\n2. Install dependencies:\n```bash\nnpm install\n```\n3. Build the server:\n```bash\nnpm run build\n```\n\n## Configuration\n\nThe server requires an Anthropic API key to function. Set it as an environment variable:\n\n```bash\nexport ANTHROPIC_API_KEY=your-api-key-here\n```\n\n## Usage\n\nThe server provides a single tool called `twosplit` with the following parameters:\n\n- `prompt` (required): The prompt to send to Claude\n- `model` (required): The Claude model to use (must be one of the supported models listed above)\n\nExample tool usage in Claude:\n\n```\n\ntwosplit\ntwosplit\n\n{\n \"prompt\": \"Write a short story about a robot learning to paint\",\n \"model\": \"claude-3-5-sonnet-latest\"\n}\n\n\n```\n\nThe response will include:\n1. The final optimized response\n2. Original responses from both AIs\n3. Source attribution showing which parts came from which AI\n\n## How it Works\n\n1. The server sends the same prompt to two separate instances of the specified Claude model, requesting a single direct response\n2. A third instance analyzes both responses and either:\n - Selects the single best response if one is clearly superior\n - Creates a new response that combines the best elements from both responses\n3. The final response, original responses, and source attribution are all included in the output\n\n## Development\n\nTo run the server in watch mode during development:\n\n```bash\nnpm run watch\n```\n\nTo inspect the server's capabilities:\n\n```bash\nnpm run inspector\n","English","en-US",{"_29":47,"_33":51,"_38":52},{"_31":48,"_33":49,"_35":50},"Un servidor MCP que aprovecha múltiples instancias de Claude para proporcionar respuestas mejoradas enviando el mismo mensaje a dos instancias separadas y utilizando una tercera para combinar o seleccionar los mejores elementos.","Servidor MCP de Twosplit","# Servidor MCP de Twosplit\n\nUn servidor MCP que aprovecha varias instancias de Claude para proporcionar respuestas mejoradas. Envía la misma solicitud a dos instancias de Claude y utiliza una tercera para combinar o seleccionar los mejores elementos de ambas respuestas.\n\n## Características\n\n* Admite varios modelos de Claude:\n * Claude-3-opus-última versión\n * Claude-3-5-Soneto-Último\n * Claude-3-5-haiku-último\n * Claude-3-haiku-20240307\n* Obtiene respuestas únicas y directas de cada IA\n* Muestra respuestas originales y atribución de fuentes.\n* Devuelve una respuesta final optimizada\n\n## Instalación\n\n1. Clonar el repositorio\n2. Instalar dependencias:\n\n```bash\nnpm install\n```\n\n3. Construir el servidor:\n\n```bash\nnpm run build\n```\n\n## Configuración\n\nEl servidor requiere una clave API de Anthropic para funcionar. Configúrela como variable de entorno:\n\n```bash\nexport ANTHROPIC_API_KEY=your-api-key-here\n```\n\n## Uso\n\nEl servidor proporciona una única herramienta llamada `twosplit` con los siguientes parámetros:\n\n* `prompt` (obligatorio): el mensaje que se enviará a Claude\n* `model` (obligatorio): El modelo de Claude a utilizar (debe ser uno de los modelos compatibles enumerados anteriormente)\n\nEjemplo de uso de herramientas en Claude:\n\n```\n\ntwosplit\ntwosplit\n\n{\n \"prompt\": \"Write a short story about a robot learning to paint\",\n \"model\": \"claude-3-5-sonnet-latest\"\n}\n\n\n```\n\nLa respuesta incluirá:\n\n1. La respuesta final optimizada\n2. Respuestas originales de ambas IA\n3. Atribución de fuente que muestra qué partes provienen de qué IA\n\n## Cómo funciona\n\n1. El servidor envía el mismo mensaje a dos instancias separadas del modelo Claude especificado, solicitando una única respuesta directa.\n2. Una tercera instancia analiza ambas respuestas y:\n * Selecciona la mejor respuesta si una es claramente superior\n * Crea una nueva respuesta que combina los mejores elementos de ambas respuestas.\n3. La respuesta final, las respuestas originales y la atribución de la fuente se incluyen en el resultado.\n\n## Desarrollo\n\nPara ejecutar el servidor en modo de observación durante el desarrollo:\n\n```bash\nnpm run watch\n```\n\nPara inspeccionar las capacidades del servidor:\n\n```bash\nnpm run inspector\n```","Spanish","es-ES",{"_29":54,"_33":58,"_38":59},{"_31":55,"_33":56,"_35":57},"複数の Claude インスタンスを活用して、同じプロンプトを 2 つの別々のインスタンスに送信し、3 番目のインスタンスを使用して最適な要素を組み合わせたり選択したりすることで、強化された応答を提供する MCP サーバー。","2分割MCPサーバー","# 2分割MCPサーバー\n\n複数のClaudeインスタンスを活用して、より高度な応答を提供するMCPサーバー。同じプロンプトを2つのClaudeインスタンスに送信し、3つ目のインスタンスを使用して両方の応答から最適な要素を組み合わせ、または選択します。\n\n## 特徴\n\n* 複数のClaudeモデルをサポートします:\n * クロード-3-opus-最新\n * クロード-3-5-ソネット-最新\n * クロード-3-5-俳句-最新\n * クロード-3-俳句-20240307\n* 各AIから単一の直接応答を取得します\n* オリジナルの回答と出典を表示します\n* 最適化された最終レスポンスを返す\n\n## インストール\n\n1. リポジトリをクローンする\n2. 依存関係をインストールします:\n\n```bash\nnpm install\n```\n\n3. サーバーを構築します。\n\n```bash\nnpm run build\n```\n\n## 構成\n\nサーバーが機能するにはAnthropic APIキーが必要です。環境変数として設定してください。\n\n```bash\nexport ANTHROPIC_API_KEY=your-api-key-here\n```\n\n## 使用法\n\nサーバーは、次のパラメータを持つ`twosplit`と呼ばれる単一のツールを提供します。\n\n* `prompt` （必須）: クロードに送るプロンプト\n* `model` (必須): 使用する Claude モデル (上記のサポートされているモデルのいずれかである必要があります)\n\nClaude でのツールの使用例:\n\n```\n\ntwosplit\ntwosplit\n\n{\n \"prompt\": \"Write a short story about a robot learning to paint\",\n \"model\": \"claude-3-5-sonnet-latest\"\n}\n\n\n```\n\n回答には次の内容が含まれます:\n\n1. 最終的な最適化された応答\n2. 両AIからの元の回答\n3. どの部分がどのAIから来たのかを示すソース属性\n\n## 仕組み\n\n1. サーバーは、指定されたクロードモデルの2つの別々のインスタンスに同じプロンプトを送信し、単一の直接応答を要求します。\n2. 3 番目のインスタンスは両方の応答を分析し、次のいずれかを実行します。\n * 明らかに優れている場合、最適な回答を1つ選択します\n * 両方のレスポンスの最良の要素を組み合わせた新しいレスポンスを作成します\n3. 最終的な回答、元の回答、およびソースの帰属はすべて出力に含まれます。\n\n## 発達\n\n開発中にサーバーをウォッチモードで実行するには:\n\n```bash\nnpm run watch\n```\n\nサーバーの機能を検査するには:\n\n```bash\nnpm run inspector\n```","Japanese","ja-JP",{"_29":61,"_33":65,"_38":66},{"_31":62,"_33":63,"_35":64},"여러 Claude 인스턴스를 활용하여 동일한 프롬프트를 두 개의 별도 인스턴스에 보내고 세 번째 인스턴스를 사용하여 최상의 요소를 결합하거나 선택함으로써 향상된 응답을 제공하는 MCP 서버입니다.","Twosplit MCP 서버","# Twosplit MCP 서버\n\n여러 Claude 인스턴스를 활용하여 향상된 응답을 제공하는 MCP 서버입니다. 동일한 프롬프트를 두 개의 개별 Claude 인스턴스에 전송하고, 세 번째 인스턴스를 사용하여 두 응답에서 가장 적합한 요소를 결합하거나 선택합니다.\n\n## 특징\n\n* 다양한 Claude 모델을 지원합니다.\n * 클로드-3-작품-최신\n * 클로드-3-5-소네트-최신\n * 클로드-3-5-하이쿠-최신\n * 클로드-3-하이쿠-20240307\n* 각 AI로부터 단일하고 직접적인 응답을 받습니다.\n* 원본 응답과 출처 표시를 표시합니다.\n* 최적화된 최종 응답을 반환합니다.\n\n## 설치\n\n1. 저장소를 복제합니다\n2. 종속성 설치:\n\n지엑스피1\n\n3. 서버를 빌드하세요:\n\n```bash\nnpm run build\n```\n\n## 구성\n\n서버가 작동하려면 Anthropic API 키가 필요합니다. 환경 변수로 설정하세요.\n\n```bash\nexport ANTHROPIC_API_KEY=your-api-key-here\n```\n\n## 용법\n\n서버는 다음 매개변수를 사용하여 `twosplit` 이라는 단일 도구를 제공합니다.\n\n* `prompt` (필수): Claude에게 보낼 프롬프트\n* `model` (필수): 사용할 Claude 모델(위에 나열된 지원되는 모델 중 하나여야 함)\n\nClaude에서의 도구 사용 예시:\n\n```\n\ntwosplit\ntwosplit\n\n{\n \"prompt\": \"Write a short story about a robot learning to paint\",\n \"model\": \"claude-3-5-sonnet-latest\"\n}\n\n\n```\n\n응답에는 다음이 포함됩니다.\n\n1. 최종 최적화된 응답\n2. 두 AI의 원래 응답\n3. 어떤 부분이 어떤 AI에서 나왔는지 보여주는 출처 표시\n\n## 작동 원리\n\n1. 서버는 지정된 Claude 모델의 두 개의 별도 인스턴스에 동일한 프롬프트를 보내 단일 직접 응답을 요청합니다.\n2. 세 번째 인스턴스는 두 응답과 다음 중 하나를 분석합니다.\n * 하나가 명백히 우수한 경우 단일 최상의 응답을 선택합니다.\n * 두 응답의 가장 좋은 요소를 결합한 새로운 응답을 만듭니다.\n3. 최종 응답, 원래 응답 및 출처 귀속은 모두 출력에 포함됩니다.\n\n## 개발\n\n개발 중에 서버를 감시 모드로 실행하려면:\n\n```bash\nnpm run watch\n```\n\n서버의 기능을 검사하려면:\n\n```bash\nnpm run inspector\n```","Korean","ko-KR",{"_29":68,"_33":72,"_38":73},{"_31":69,"_33":70,"_35":71},"Сервер MCP, который использует несколько экземпляров Claude для предоставления расширенных ответов, отправляя один и тот же запрос двум отдельным экземплярам и используя третий для объединения или выбора лучших элементов.","Два разделенных MCP-сервера","# Два разделенных MCP-сервера\n\nСервер MCP, который использует несколько экземпляров Claude для предоставления расширенных ответов. Он отправляет один и тот же запрос двум отдельным экземплярам Claude и использует третий экземпляр для объединения или выбора лучших элементов из обоих ответов.\n\n## Функции\n\n* Поддерживает несколько моделей Клода:\n * claude-3-opus-последний\n * claude-3-5-sonnet-последний\n * claude-3-5-haiku-последнее\n * claude-3-haiku-20240307\n* Получает отдельные прямые ответы от каждого ИИ\n* Показывает оригинальные ответы и ссылку на источник\n* Возвращает оптимизированный окончательный ответ\n\n## Установка\n\n1. Клонировать репозиторий\n2. Установить зависимости:\n\n```bash\nnpm install\n```\n\n3. Сборка сервера:\n\n```bash\nnpm run build\n```\n\n## Конфигурация\n\nДля работы сервера требуется ключ Anthropic API. Установите его как переменную среды:\n\n```bash\nexport ANTHROPIC_API_KEY=your-api-key-here\n```\n\n## Использование\n\nСервер предоставляет единственный инструмент под названием `twosplit` со следующими параметрами:\n\n* `prompt` (обязательно): Подсказка для отправки Клоду\n* `model` (обязательно): модель Клода, которую нужно использовать (должна быть одной из поддерживаемых моделей, перечисленных выше)\n\nПример использования инструмента в Claude:\n\n```\n\ntwosplit\ntwosplit\n\n{\n \"prompt\": \"Write a short story about a robot learning to paint\",\n \"model\": \"claude-3-5-sonnet-latest\"\n}\n\n\n```\n\nОтвет будет включать в себя:\n\n1. Окончательный оптимизированный ответ\n2. Оригинальные ответы от обоих ИИ\n3. Атрибуция источника, показывающая, какие части взяты из какого ИИ\n\n## Как это работает\n\n1. Сервер отправляет один и тот же запрос двум отдельным экземплярам указанной модели Клода, запрашивая один прямой ответ.\n2. Третий экземпляр анализирует оба ответа и либо:\n * Выбирает единственный лучший ответ, если один из них явно лучше\n * Создает новый ответ, который объединяет лучшие элементы из обоих ответов.\n3. Окончательный ответ, исходные ответы и указание источника включены в вывод.\n\n## Разработка\n\nЧтобы запустить сервер в режиме наблюдения во время разработки:\n\n```bash\nnpm run watch\n```\n\nЧтобы проверить возможности сервера:\n\n```bash\nnpm run inspector\n```","Russian","ru-RU",{"_29":75,"_33":79,"_38":80},{"_31":76,"_33":77,"_35":78},"MCP 服务器利用多个 Claude 实例来提供增强的响应，方法是将相同的提示发送到两个单独的实例，并使用第三个实例来组合或选择最佳元素。","双分裂 MCP 服务器","# 双分裂 MCP 服务器\n\n一个利用多个 Claude 实例来提供增强响应的 MCP 服务器。它将相同的请求发送到两个独立的 Claude 实例，并使用第三个实例从两个响应中合并或选择最佳元素。\n\n## 特征\n\n* 支持多种 Claude 模型：\n * 克劳德-3-作品-最新\n * 克劳德-3-5-十四行诗-最新\n * 克劳德-3-5-俳句最新\n * 克劳德-3-俳句-20240307\n* 从每个人工智能获得单一、直接的回应\n* 显示原始回复和来源归属\n* 返回优化的最终响应\n\n## 安装\n\n1. 克隆存储库\n2. 安装依赖项：\n\n```bash\nnpm install\n```\n\n3. 构建服务器：\n\n```bash\nnpm run build\n```\n\n## 配置\n\n服务器需要 Anthropic API 密钥才能运行。请将其设置为环境变量：\n\n```bash\nexport ANTHROPIC_API_KEY=your-api-key-here\n```\n\n## 用法\n\n服务器提供了一个名为`twosplit`的工具，其参数如下：\n\n* `prompt` （必填）：发送给 Claude 的提示\n* `model` （必需）：要使用的 Claude 模型（必须是上面列出的受支持模型之一）\n\nClaude 中的工具使用示例：\n\n```\n\ntwosplit\ntwosplit\n\n{\n \"prompt\": \"Write a short story about a robot learning to paint\",\n \"model\": \"claude-3-5-sonnet-latest\"\n}\n\n\n```\n\n答复将包括：\n\n1. 最终优化响应\n2. 两个 AI 的原始回复\n3. 来源归属显示哪些部分来自哪个AI\n\n## 工作原理\n\n1. 服务器向指定 Claude 模型的两个独立实例发送相同的提示，请求单个直接响应\n2. 第三个实例分析了这两个响应，并且：\n * 如果其中一个答案明显更优，则选择最佳答案\n * 创建一个新的响应，结合两个响应中的最佳元素\n3. 最终回复、原始回复和来源归属均包含在输出中\n\n## 发展\n\n要在开发期间以监视模式运行服务器：\n\n```bash\nnpm run watch\n```\n\n检查服务器的功能：\n\n```bash\nnpm run inspector\n```","Chinese","zh-CN","githubUser","locale",{"_84":85,"_86":87,"_13":98,"_106":42,"_107":42,"_108":109,"_112":113,"_133":-5,"_16":134,"_135":136,"_137":138,"_33":34,"_139":126,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":145,"_150":-5,"_151":122,"_152":-5,"_153":154,"_127":173,"_174":175},"addedAt",["D",1742929715118],"argumentsJsonSchema",{"_88":89,"_95":96,"_93":97},"properties",{"_90":91},"ANTHROPIC_API_KEY",{"_31":92,"_93":94},"Your Anthropic API 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