[{"_1":2,"_407":-5,"_408":-5},"loaderData",{"_3":4,"_22":23,"_24":25,"_324":325},"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",7058884,"membership","referenceId","01971406-43e3-74e8-b880-2f000258007a","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":27,"_82":-5,"_83":40,"_29":84,"_242":243,"_322":323},"availableLocales",[28,40,47,54,61,68,75],{"_29":30,"_33":37,"_38":39},"mcpServer",{"_31":32,"_33":34,"_35":36},"description","Erleichtert die Interaktion mit Elasticsearch-Clustern, indem es Benutzern ermöglicht, Indexvorgänge, Dokumentsuchen und Clusterverwaltung über einen Model Context Protocol-Server und Befehle in natürlicher Sprache durchzuführen.","name","Elasticsearch MCP-Server","readme","# Elasticsearch/OpenSearch MCP-Server\n\n[![Schmiedeabzeichen](https://smithery.ai/badge/elasticsearch-mcp-server)](https://smithery.ai/server/elasticsearch-mcp-server)\n\n[![MseeP.ai-Sicherheitsbewertungsabzeichen](https://mseep.net/pr/cr7258-elasticsearch-mcp-server-badge.png)](https://mseep.ai/app/cr7258-elasticsearch-mcp-server)\n\n## Überblick\n\nEine Model Context Protocol (MCP)-Serverimplementierung, die die Interaktion mit Elasticsearch und OpenSearch ermöglicht. Dieser Server ermöglicht die Suche nach Dokumenten, die Analyse von Indizes und die Verwaltung von Clustern mithilfe einer Reihe von Tools.\n\n## Demo\n\n\n\n## Merkmale\n\n### Allgemeine Vorgänge\n\n* `general_api_request` : Führen Sie eine allgemeine HTTP-API-Anfrage aus. Verwenden Sie dieses Tool für alle Elasticsearch/OpenSearch-APIs, für die kein dediziertes Tool vorhanden ist.\n\n### Indexvorgänge\n\n* `list_indices` : Listet alle Indizes auf.\n* `get_index` : Gibt Informationen (Zuordnungen, Einstellungen, Aliase) zu einem oder mehreren Indizes zurück.\n* `create_index` : Erstellen Sie einen neuen Index.\n* `delete_index` : Löscht einen Index.\n\n### Dokumentvorgänge\n\n* `search_documents` : Suche nach Dokumenten.\n* `index_document` : Erstellt oder aktualisiert ein Dokument im Index.\n* `get_document` : Ruft ein Dokument nach ID ab.\n* `delete_document` : Löscht ein Dokument anhand der ID.\n* `delete_by_query` : Löscht Dokumente, die der angegebenen Abfrage entsprechen.\n\n### Cluster-Operationen\n\n* `get_cluster_health` : Gibt grundlegende Informationen zum Zustand des Clusters zurück.\n* `get_cluster_stats` : Gibt eine allgemeine Übersicht über die Clusterstatistiken zurück.\n\n### Alias-Operationen\n\n* `list_aliases` : Listet alle Aliase auf.\n* `get_alias` : Ruft Aliasinformationen für einen bestimmten Index ab.\n* `put_alias` : Erstellen oder aktualisieren Sie einen Alias für einen bestimmten Index.\n* `delete_alias` : Löscht einen Alias für einen bestimmten Index.\n\n## Konfigurieren von Umgebungsvariablen\n\nKopieren Sie die Datei `.env.example` nach `.env` und aktualisieren Sie die Werte entsprechend.\n\n## Starten Sie den Elasticsearch/OpenSearch-Cluster\n\nStarten Sie den Elasticsearch/OpenSearch-Cluster mit Docker Compose:\n\n```bash\n# For Elasticsearch\ndocker-compose -f docker-compose-elasticsearch.yml up -d\n\n# For OpenSearch\ndocker-compose -f docker-compose-opensearch.yml up -d\n```\n\nDer Standardbenutzername für Elasticsearch lautet `elastic` und das Passwort lautet `test123` . Der Standardbenutzername für OpenSearch lautet `admin` und das Passwort lautet `admin` .\n\nSie können über auf Kibana/OpenSearch-Dashboards zugreifen.\n\n## Verwendung mit Claude Desktop\n\n### Option 1: Installation über Smithery\n\nSo installieren Sie Elasticsearch Server für Claude Desktop automatisch über [Smithery](https://smithery.ai/server/elasticsearch-mcp-server) :\n\n```bash\nnpx -y @smithery/cli install elasticsearch-mcp-server --client claude\n```\n\n### Option 2: Verwendung von uvx\n\nMit `uvx` wird das Paket automatisch von PyPI installiert. Ein lokales Klonen des Repositorys ist nicht erforderlich. Fügen Sie die folgende Konfiguration zur Konfigurationsdatei `claude_desktop_config.json` von Claude Desktop hinzu.\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n### Option 3: Verwenden von UV mit lokaler Entwicklung\n\nDie Verwendung von `uv` erfordert das lokale Klonen des Repositorys und die Angabe des Pfads zum Quellcode. Fügen Sie die folgende Konfiguration zur Konfigurationsdatei `claude_desktop_config.json` von Claude Desktop hinzu.\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n* Unter macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`\n* Unter Windows: `%APPDATA%/Claude/claude_desktop_config.json`\n\nStarten Sie Claude Desktop neu, um den neuen MCP-Server zu laden.\n\nJetzt können Sie über Claude mit Ihrem Elasticsearch/OpenSearch-Cluster interagieren, indem Sie Befehle in natürlicher Sprache verwenden wie:\n\n* \"Alle Indizes im Cluster auflisten\"\n* „Wie alt ist der Schüler Bob?“\n* „Zeigen Sie mir den Integritätsstatus des Clusters“\n\n## Verwendung mit dem Anthropic MCP Client\n\n```python\nuv run mcp_client/client.py src/server.py\n```\n\n## Lizenz\n\nDieses Projekt ist unter der Apache-Lizenz Version 2.0 lizenziert – Einzelheiten finden Sie in der Datei [LICENSE](LICENSE) .","German","tag","de-DE",{"_29":41,"_33":45,"_38":46},{"_31":42,"_33":43,"_35":44},"Facilitates interaction with Elasticsearch clusters by allowing users to perform index operations, document searches, and cluster management via a Model Context Protocol server and natural language commands.","Elasticsearch MCP Server","\n# Elasticsearch/OpenSearch MCP Server\n\n[![smithery badge](https://smithery.ai/badge/elasticsearch-mcp-server)](https://smithery.ai/server/elasticsearch-mcp-server)\n\n[![MseeP.ai Security Assessment Badge](https://mseep.net/pr/cr7258-elasticsearch-mcp-server-badge.png)](https://mseep.ai/app/cr7258-elasticsearch-mcp-server)\n\n## Overview\n\nA Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction. This server enables searching documents, analyzing indices, and managing cluster through a set of tools.\n\n $\"Elasticsearch$ \n\n## Demo\n\nhttps://github.com/user-attachments/assets/f7409e31-fac4-4321-9c94-b0ff2ea7ff15\n\n## Features\n\n### General Operations\n\n- `general_api_request`: Perform a general HTTP API request. Use this tool for any Elasticsearch/OpenSearch API that does not have a dedicated tool.\n\n### Index Operations\n\n- `list_indices`: List all indices.\n- `get_index`: Returns information (mappings, settings, aliases) about one or more indices.\n- `create_index`: Create a new index.\n- `delete_index`: Delete an index.\n\n### Document Operations\n\n- `search_documents`: Search for documents.\n- `index_document`: Creates or updates a document in the index.\n- `get_document`: Get a document by ID.\n- `delete_document`: Delete a document by ID.\n- `delete_by_query`: Deletes documents matching the provided query.\n\n### Cluster Operations\n\n- `get_cluster_health`: Returns basic information about the health of the cluster.\n- `get_cluster_stats`: Returns high-level overview of cluster statistics.\n\n### Alias Operations\n\n- `list_aliases`: List all aliases.\n- `get_alias`: Get alias information for a specific index.\n- `put_alias`: Create or update an alias for a specific index.\n- `delete_alias`: Delete an alias for a specific index.\n\n## Configure Environment Variables\n\nCopy the `.env.example` file to `.env` and update the values accordingly.\n\n## Start Elasticsearch/OpenSearch Cluster\n\nStart the Elasticsearch/OpenSearch cluster using Docker Compose:\n\n```bash\n# For Elasticsearch\ndocker-compose -f docker-compose-elasticsearch.yml up -d\n\n# For OpenSearch\ndocker-compose -f docker-compose-opensearch.yml up -d\n```\n\nThe default Elasticsearch username is `elastic` and password is `test123`. The default OpenSearch username is `admin` and password is `admin`.\n\nYou can access Kibana/OpenSearch Dashboards from http://localhost:5601.\n\n## Usage with Claude Desktop\n\n### Option 1: Installing via Smithery\n\nTo install Elasticsearch Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/elasticsearch-mcp-server):\n\n```bash\nnpx -y @smithery/cli install elasticsearch-mcp-server --client claude\n```\n\n### Option 2: Using uvx\n\nUsing `uvx` will automatically install the package from PyPI, no need to clone the repository locally. Add the following configuration to Claude Desktop's config file `claude_desktop_config.json`.\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n### Option 3: Using uv with local development\n\nUsing `uv` requires cloning the repository locally and specifying the path to the source code. Add the following configuration to Claude Desktop's config file `claude_desktop_config.json`.\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n- On macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`\n- On Windows: `%APPDATA%/Claude/claude_desktop_config.json`\n\nRestart Claude Desktop to load the new MCP server.\n\nNow you can interact with your Elasticsearch/OpenSearch cluster through Claude using natural language commands like:\n- \"List all indices in the cluster\"\n- \"How old is the student Bob?\"\n- \"Show me the cluster health status\"\n\n## Usage with Anthropic MCP Client\n\n```python\nuv run mcp_client/client.py src/server.py\n```\n\n## License\n\nThis project is licensed under the Apache License Version 2.0 - see the [LICENSE](LICENSE) file for details.\n","English","en-US",{"_29":48,"_33":52,"_38":53},{"_31":49,"_33":50,"_35":51},"Facilita la interacción con los clústeres de Elasticsearch al permitir a los usuarios realizar operaciones de índice, búsquedas de documentos y gestión de clústeres a través de un servidor de protocolo de contexto de modelo y comandos de lenguaje natural.","Servidor MCP de Elasticsearch","# Servidor MCP de Elasticsearch/OpenSearch\n\n[![insignia de herrería](https://smithery.ai/badge/elasticsearch-mcp-server)](https://smithery.ai/server/elasticsearch-mcp-server)\n\n## Descripción general\n\nUna implementación de servidor del Protocolo de Contexto de Modelo (MCP) que facilita la interacción entre Elasticsearch y OpenSearch. Este servidor permite la búsqueda de documentos, el análisis de índices y la gestión de clústeres mediante un conjunto de herramientas.\n\n## Manifestación\n\n\n\n## Características\n\n### Operaciones generales\n\n* `general_api_request` : Realiza una solicitud general a la API HTTP. Use esta herramienta para cualquier API de Elasticsearch/OpenSearch que no tenga una herramienta dedicada.\n\n### Operaciones de índice\n\n* `list_indices` : enumera todos los índices.\n* `get_index` : devuelve información (asignaciones, configuraciones, alias) sobre uno o más índices.\n* `create_index` : Crea un nuevo índice.\n* `delete_index` : eliminar un índice.\n\n### Operaciones de documentos\n\n* `search_documents` : Buscar documentos.\n* `index_document` : Crea o actualiza un documento en el índice.\n* `get_document` : Obtener un documento por ID.\n* `delete_document` : Eliminar un documento por ID.\n* `delete_by_query` : elimina los documentos que coinciden con la consulta proporcionada.\n\n### Operaciones de clúster\n\n* `get_cluster_health` : devuelve información básica sobre el estado del clúster.\n* `get_cluster_stats` : devuelve una descripción general de alto nivel de las estadísticas del clúster.\n\n### Operaciones de alias\n\n* `list_aliases` : enumera todos los alias.\n* `get_alias` : obtiene información de alias para un índice específico.\n* `put_alias` : crea o actualiza un alias para un índice específico.\n* `delete_alias` : elimina un alias para un índice específico.\n\n## Configurar variables de entorno\n\nCopie el archivo `.env.example` a `.env` y actualice los valores según corresponda.\n\n## Iniciar el clúster Elasticsearch/OpenSearch\n\nInicie el clúster Elasticsearch/OpenSearch usando Docker Compose:\n\n```bash\n# For Elasticsearch\ndocker-compose -f docker-compose-elasticsearch.yml up -d\n\n# For OpenSearch\ndocker-compose -f docker-compose-opensearch.yml up -d\n```\n\nEl nombre de usuario predeterminado de Elasticsearch es `elastic` y la contraseña es `test123` . El nombre de usuario predeterminado de OpenSearch es `admin` y la contraseña es `admin` .\n\nPuede acceder a los paneles de control de Kibana/OpenSearch desde .\n\n## Uso con Claude Desktop\n\n### Opción 1: Instalación mediante herrería\n\nPara instalar Elasticsearch Server para Claude Desktop automáticamente a través de [Smithery](https://smithery.ai/server/elasticsearch-mcp-server) :\n\n```bash\nnpx -y @smithery/cli install elasticsearch-mcp-server --client claude\n```\n\n### Opción 2: Uso de uvx\n\nUsar `uvx` instalará automáticamente el paquete desde PyPI, sin necesidad de clonar el repositorio localmente. Agregue la siguiente configuración al archivo de configuración de Claude Desktop: `claude_desktop_config.json` .\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n### Opción 3: Uso de uv con desarrollo local\n\nUsar `uv` requiere clonar el repositorio localmente y especificar la ruta al código fuente. Agregue la siguiente configuración al archivo de configuración de Claude Desktop: `claude_desktop_config.json` .\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n* En macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`\n* En Windows: `%APPDATA%/Claude/claude_desktop_config.json`\n\nReinicie Claude Desktop para cargar el nuevo servidor MCP.\n\nAhora puedes interactuar con tu clúster Elasticsearch/OpenSearch a través de Claude usando comandos de lenguaje natural como:\n\n* \"Enumerar todos los índices del clúster\"\n* \"¿Qué edad tiene el estudiante Bob?\"\n* \"Muéstrame el estado de salud del clúster\"\n\n## Uso con el cliente Anthropic MCP\n\n```python\nuv run mcp_client/client.py src/server.py\n```\n\n## Licencia\n\nEste proyecto está licenciado bajo la licencia Apache versión 2.0: consulte el archivo [de LICENCIA](LICENSE) para obtener más detalles.","Spanish","es-ES",{"_29":55,"_33":59,"_38":60},{"_31":56,"_33":57,"_35":58},"モデルコンテキストプロトコルサーバーと自然言語コマンドを介してユーザーがインデックス操作、ドキュメント検索、クラスター管理を実行できるようにすることで、Elasticsearch クラスターとのやり取りを容易にします。","Elasticsearch MCP サーバー","# Elasticsearch/OpenSearch MCP サーバー\n\n[![鍛冶屋のバッジ](https://smithery.ai/badge/elasticsearch-mcp-server)](https://smithery.ai/server/elasticsearch-mcp-server)\n\n## 概要\n\nElasticsearchとOpenSearchの連携を可能にするModel Context Protocol（MCP）サーバー実装。このサーバーは、ドキュメントの検索、インデックスの分析、そして一連のツールによるクラスター管理を可能にします。\n\n## デモ\n\n\n\n## 特徴\n\n### 一般業務\n\n* `general_api_request` : 一般的なHTTP APIリクエストを実行します。専用ツールがないElasticsearch/OpenSearch APIには、このツールを使用します。\n\n### インデックス操作\n\n* `list_indices` : すべてのインデックスを一覧表示します。\n* `get_index` : 1 つ以上のインデックスに関する情報 (マッピング、設定、エイリアス) を返します。\n* `create_index` : 新しいインデックスを作成します。\n* `delete_index` : インデックスを削除します。\n\n### ドキュメント操作\n\n* `search_documents` : ドキュメントを検索します。\n* `index_document` : インデックス内のドキュメントを作成または更新します。\n* `get_document` : ID でドキュメントを取得します。\n* `delete_document` : ID でドキュメントを削除します。\n* `delete_by_query` : 指定されたクエリに一致するドキュメントを削除します。\n\n### クラスター操作\n\n* `get_cluster_health` : クラスターの健全性に関する基本情報を返します。\n* `get_cluster_stats` : クラスター統計の概要を返します。\n\n### エイリアス操作\n\n* `list_aliases` : すべてのエイリアスを一覧表示します。\n* `get_alias` : 特定のインデックスのエイリアス情報を取得します。\n* `put_alias` : 特定のインデックスのエイリアスを作成または更新します。\n* `delete_alias` : 特定のインデックスのエイリアスを削除します。\n\n## 環境変数を設定する\n\n`.env.example`ファイルを`.env`にコピーし、それに応じて値を更新します。\n\n## Elasticsearch/OpenSearch クラスターを起動する\n\nDocker Compose を使用して Elasticsearch/OpenSearch クラスターを起動します。\n\n```bash\n# For Elasticsearch\ndocker-compose -f docker-compose-elasticsearch.yml up -d\n\n# For OpenSearch\ndocker-compose -f docker-compose-opensearch.yml up -d\n```\n\nElasticsearchのデフォルトのユーザー名は`elastic` 、パスワードは`test123`です。OpenSearchのデフォルトのユーザー名は`admin` 、パスワードは`admin`です。\n\nKibana/OpenSearch ダッシュボードに[は http://localhost:5601](http://localhost:5601)からアクセスできます。\n\n## Claude Desktopでの使用\n\n### オプション1: Smithery経由でインストールする\n\n[Smithery](https://smithery.ai/server/elasticsearch-mcp-server)経由で Claude Desktop 用の Elasticsearch Server を自動的にインストールするには:\n\n```bash\nnpx -y @smithery/cli install elasticsearch-mcp-server --client claude\n```\n\n### オプション2: uvxを使用する\n\n`uvx`を使用すると、PyPIからパッケージが自動的にインストールされるため、リポジトリをローカルにクローンする必要はありません。Claude Desktopの設定ファイル`claude_desktop_config.json`に以下の設定を追加してください。\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n### オプション3: ローカル開発でUVを使用する\n\n`uv`を使用するには、リポジトリをローカルにクローンし、ソースコードへのパスを指定する必要があります。Claude Desktop の設定ファイル`claude_desktop_config.json`に以下の設定を追加してください。\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n* macOSの場合: `~/Library/Application Support/Claude/claude_desktop_config.json`\n* Windows の場合: `%APPDATA%/Claude/claude_desktop_config.json`\n\n新しい MCP サーバーをロードするには、Claude Desktop を再起動します。\n\n次のような自然言語コマンドを使用して、Claude を通じて Elasticsearch/OpenSearch クラスターと対話できるようになりました。\n\n* 「クラスター内のすべてのインデックスを一覧表示する」\n* 「ボブという生徒は何歳ですか？」\n* 「クラスターのヘルスステータスを表示」\n\n## Anthropic MCPクライアントでの使用\n\n```python\nuv run mcp_client/client.py src/server.py\n```\n\n## ライセンス\n\nこのプロジェクトは、Apache License バージョン 2.0 に基づいてライセンスされています。詳細については、 [LICENSE](LICENSE)ファイルを参照してください。","Japanese","ja-JP",{"_29":62,"_33":66,"_38":67},{"_31":63,"_33":64,"_35":65},"사용자가 모델 컨텍스트 프로토콜 서버와 자연어 명령을 통해 인덱스 작업, 문서 검색 및 클러스터 관리를 수행할 수 있도록 하여 Elasticsearch 클러스터와의 상호 작용을 용이하게 합니다.","Elasticsearch MCP 서버","# Elasticsearch/OpenSearch MCP 서버\n\n[![대장간 배지](https://smithery.ai/badge/elasticsearch-mcp-server)](https://smithery.ai/server/elasticsearch-mcp-server)\n\n## 개요\n\nElasticsearch와 OpenSearch 간의 상호작용을 제공하는 모델 컨텍스트 프로토콜(MCP) 서버 구현입니다. 이 서버는 다양한 도구를 통해 문서 검색, 인덱스 분석, 클러스터 관리를 지원합니다.\n\n## 데모\n\n\n\n## 특징\n\n### 일반 운영\n\n* `general_api_request` : 일반적인 HTTP API 요청을 수행합니다. 전용 도구가 없는 Elasticsearch/OpenSearch API에 이 도��를 사용하세요.\n\n### 인덱스 작업\n\n* `list_indices` : 모든 인덱스를 나열합니다.\n* `get_index` : 하나 이상의 인덱스에 대한 정보(매핑, 설정, 별칭)를 반환합니다.\n* `create_index` : 새로운 인덱스를 생성합니다.\n* `delete_index` : 인덱스를 삭제합니다.\n\n### 문서 작업\n\n* `search_documents` : 문서를 검색합니다.\n* `index_document` : 인덱스에 문서를 생성하거나 업데이트합니다.\n* `get_document` : ID로 문서를 가져옵니다.\n* `delete_document` : ID로 문서를 삭제합니다.\n* `delete_by_query` : 제공된 쿼리와 일치하는 문서를 삭제합니다.\n\n### 클러스터 작업\n\n* `get_cluster_health` : 클러스터 상태에 대한 기본 정보를 반환합니다.\n* `get_cluster_stats` : 클러스터 통계의 개요를 반환합니다.\n\n### 별칭 작업\n\n* `list_aliases` : 모든 별칭을 나열합니다.\n* `get_alias` : 특정 인덱스에 대한 별칭 정보를 가져옵니다.\n* `put_alias` : 특정 인덱스에 대한 별칭을 만들거나 업데이트합니다.\n* `delete_alias` : 특정 인덱스의 별칭을 삭제합니다.\n\n## 환경 변수 구성\n\n`.env.example` 파일을 `.env` 로 복사하고 값을 적절히 업데이트합니다.\n\n## Elasticsearch/OpenSearch 클러스터 시작\n\nDocker Compose를 사용하여 Elasticsearch/OpenSearch 클러스터를 시작합니다.\n\n지엑스피1\n\nElasticsearch의 기본 사용자 이름은 `elastic` 이고 비밀번호는 `test123` 입니다. OpenSearch의 기본 사용자 이름은 `admin` 이고 비밀번호는 `admin` 입니다.\n\n 에서 Kibana/OpenSearch 대시보드에 액세스할 수 있습니다.\n\n## Claude Desktop과 함께 사용\n\n### 옵션 1: Smithery를 통해 설치\n\n[Smithery를](https://smithery.ai/server/elasticsearch-mcp-server) 통해 Claude Desktop에 Elasticsearch Server를 자동으로 설치하려면:\n\n```bash\nnpx -y @smithery/cli install elasticsearch-mcp-server --client claude\n```\n\n### 옵션 2: uvx 사용\n\n`uvx` 사용하면 PyPI에서 패키지가 자동으로 설치되므로 로컬 저장소를 복제할 필요가 없습니다. Claude Desktop의 설정 파일 `claude_desktop_config.json` 에 다음 설정을 추가하세요.\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n### 옵션 3: 로컬 개발에 uv 사용\n\n`uv` 사용하려면 로컬 저장소를 복제하고 소스 코드 경로를 지정해야 합니다. Claude Desktop의 설정 파일 `claude_desktop_config.json` 에 다음 설정을 추가하세요.\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n* macOS의 경우: `~/Library/Application Support/Claude/claude_desktop_config.json`\n* Windows의 경우: `%APPDATA%/Claude/claude_desktop_config.json`\n\n새로운 MCP 서버를 로드하려면 Claude Desktop을 다시 시작하세요.\n\n이제 Claude를 통해 다음과 같은 자연어 명령을 사용하여 Elasticsearch/OpenSearch 클러스터와 상호 작용할 수 있습니다.\n\n* \"클러스터의 모든 인덱스를 나열합니다\"\n* \"학생 밥은 몇 살이에요?\"\n* \"클러스터 상태 보여주세요\"\n\n## Anthropic MCP 클라이언트와 함께 사용\n\n```python\nuv run mcp_client/client.py src/server.py\n```\n\n## 특허\n\n이 프로젝트는 Apache 라이선스 버전 2.0에 따라 라이선스가 부여되었습니다. 자세한 내용은 [LICENSE](LICENSE) 파일을 참조하세요.","Korean","ko-KR",{"_29":69,"_33":73,"_38":74},{"_31":70,"_33":71,"_35":72},"Облегчает взаимодействие с кластерами Elasticsearch, позволяя пользователям выполнять операции индексации, поиск документов �� управление кластерами через сервер Model Context Protocol и команды на естественном языке.","Сервер Elasticsearch MCP","# Сервер Elasticsearch/OpenSearch MCP\n\n[![значок кузнеца](https://smithery.ai/badge/elasticsearch-mcp-server)](https://smithery.ai/server/elasticsearch-mcp-server)\n\n[![Значок оценки безопасности MseeP.ai](https://mseep.net/pr/cr7258-elasticsearch-mcp-server-badge.png)](https://mseep.ai/app/cr7258-elasticsearch-mcp-server)\n\n## Обзор\n\nРеализация сервера Model Context Protocol (MCP), которая обеспечивает взаимодействие Elasticsearch и OpenSearch. Этот сервер позволяет искать документы, анализировать индексы и управлять кластером с помощью набора инструментов.\n\n## Демо\n\n\n\n## Функции\n\n### Общие операции\n\n* `general_api_request` : Выполнить общий запрос HTTP API. Используйте этот инструмент для любого API Elasticsearch/OpenSearch, у которого нет специального инструмента.\n\n### Индексные операции\n\n* `list_indices` : Список всех индексов.\n* `get_index` : Возвращает информацию (сопоставления, настройки, псевдонимы) об одном или нескольких индексах.\n* `create_index` : Создать новый индекс.\n* `delete_index` : Удалить индекс.\n\n### Операции с документами\n\n* `search_documents` : Поиск документов.\n* `index_document` : Создает или обновляет документ в индексе.\n* `get_document` : Получить документ по идентификатору.\n* `delete_document` : Удалить документ по идентификатору.\n* `delete_by_query` : Удаляет документы, соответствующие предоставленному запросу.\n\n### Кластерные операции\n\n* `get_cluster_health` : возвращает основную информацию о состоянии кластера.\n* `get_cluster_stats` : возвращает общий обзор статистики кластера.\n\n### Операции под псевдонимом\n\n* `list_aliases` : Список всех псевдонимов.\n* `get_alias` : Получить информацию о псевдониме для определенного индекса.\n* `put_alias` : создать или обновить псевдоним для определенного индекса.\n* `delete_alias` : Удалить псевдоним для определенного индекса.\n\n## Настроить переменные среды\n\nСкопируйте файл `.env.example` в `.env` и обновите значения соответствующим образом.\n\n## Запустить кластер Elasticsearch/OpenSearch\n\nЗапустите кластер Elasticsearch/OpenSearch с помощью Docker Compose:\n\n```bash\n# For Elasticsearch\ndocker-compose -f docker-compose-elasticsearch.yml up -d\n\n# For OpenSearch\ndocker-compose -f docker-compose-opensearch.yml up -d\n```\n\nИмя пользователя Elasticsearch по умолчанию — `elastic` , а пароль — `test123` . Имя пользователя OpenSearch по умолчанию — `admin` , а пароль — `admin` .\n\nДоступ к панелям управления Kibana/OpenSearch можно получить по адресу .\n\n## Использование с Claude Desktop\n\n### Вариант 1: Установка через Smithery\n\nЧтобы автоматически установить Elasticsearch Server для Claude Desktop через [Smithery](https://smithery.ai/server/elasticsearch-mcp-server) :\n\n```bash\nnpx -y @smithery/cli install elasticsearch-mcp-server --client claude\n```\n\n### Вариант 2: Использование uvx\n\nИспользование `uvx` автоматически установит пакет из PyPI, нет необходимости клонировать репозиторий локально. Добавьте следующую конфигурацию в файл конфигурации Claude Desktop `claude_desktop_config.json` .\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n### Вариант 3: Использование УФ-излучения с локальной проявкой\n\nИспользование `uv` требует локального клонирования репозитория и указания пути к исходному коду. Добавьте следующую конфигурацию в файл конфигурации Claude Desktop `claude_desktop_config.json` .\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n* В macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`\n* В Windows: `%APPDATA%/Claude/claude_desktop_config.json`\n\nПерезапустите Claude Desktop, чтобы загрузить новый сервер MCP.\n\nТеперь вы можете взаимодействовать с кластером Elasticsearch/OpenSearch через Claude, используя команды естественного языка, например:\n\n* «Список всех индексов в кластере»\n* «Сколько лет студенту Бобу?»\n* «Покажите мне состояние работоспособности кластера»\n\n## Использование с клиентом Anthropic MCP\n\n```python\nuv run mcp_client/client.py src/server.py\n```\n\n## Лицензия\n\nДанный проект лицензирован в соответствии с лицензией Apache License Version 2.0 — подробности см. в файле [LICENSE](LICENSE) .","Russian","ru-RU",{"_29":76,"_33":80,"_38":81},{"_31":77,"_33":78,"_35":79},"通过允许用户通过模型上下文协议服务器和自然语言命令执行索引操作、文档搜索和集群管理，促进与 Elasticsearch 集群的交互。","Elasticsearch MCP 服务器","# Elasticsearch/OpenSearch MCP 服务器\n\n[![铁匠徽章](https://smithery.ai/badge/elasticsearch-mcp-server)](https://smithery.ai/server/elasticsearch-mcp-server)\n\n## 概述\n\n一个模型上下文协议 (MCP) 服务器实现，提供 Elasticsearch 和 OpenSearch 交互。该服务器支持通过一组工具搜索文档、分析索引和管理集群。\n\n## 演示\n\n\n\n## 特征\n\n### 常规操作\n\n* `general_api_request` ：执行通用 HTTP API 请求。对于任何没有专用工具的 Elasticsearch/OpenSearch API，都可以使用此工具。\n\n### 索引操作\n\n* `list_indices` ：列出所有索引。\n* `get_index` ：返回有关一个或多个索引的信息（映射、设置、别名）。\n* `create_index` ：创建一个新索引。\n* `delete_index` ：删除索引。\n\n### 文档操作\n\n* `search_documents` ：搜索文档。\n* `index_document` ：创建或更新索引中的文档。\n* `get_document` ：通过 ID 获取文档。\n* `delete_document` ：通过 ID 删除文档。\n* `delete_by_query` ：删除与提供的查询匹配的文档。\n\n### 集群操作\n\n* `get_cluster_health` ：返回有关集群健康状况的基本信息。\n* `get_cluster_stats` ：返回集群统计信息的高级概述。\n\n### 别名操作\n\n* `list_aliases` ：列出所有别名。\n* `get_alias` ：获取特定索引的别名信息。\n* `put_alias` ：为特定索引创建或更新别名。\n* `delete_alias` ：删除特定索引的别名。\n\n## 配置环境变量\n\n将`.env.example`文件复制到`.env`并相应地更新值。\n\n## 启动 Elasticsearch/OpenSearch 集群\n\n使用 Docker Compose 启动 Elasticsearch/OpenSearch 集群：\n\n```bash\n# For Elasticsearch\ndocker-compose -f docker-compose-elasticsearch.yml up -d\n\n# For OpenSearch\ndocker-compose -f docker-compose-opensearch.yml up -d\n```\n\nElasticsearch 默认用户名为`elastic` ，密码为`test123` 。OpenSearch 默认用户名为`admin` ，密码为`admin` 。\n\n您可以从访问 Kibana/OpenSearch 仪表板。\n\n## 与 Claude Desktop 一起使用\n\n### 选项 1：通过 Smithery 安装\n\n要通过[Smithery](https://smithery.ai/server/elasticsearch-mcp-server)自动为 Claude Desktop 安装 Elasticsearch Server：\n\n```bash\nnpx -y @smithery/cli install elasticsearch-mcp-server --client claude\n```\n\n### 选项 2：使用 uvx\n\n使用`uvx`将自动从 PyPI 安装软件包，无需将仓库克隆到本地。将以下配置添加到 Claude Desktop 的配置文件`claude_desktop_config.json`中。\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uvx\",\n \"args\": [\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n### 选项 3：使用 uv 进行本地开发\n\n使用`uv`需要在本地克隆仓库并指定源代码路径。在 Claude Desktop 的配置文件`claude_desktop_config.json`中添加以下配置。\n\n```json\n// For Elasticsearch\n{\n \"mcpServers\": {\n \"elasticsearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"elasticsearch-mcp-server\"\n ],\n \"env\": {\n \"ELASTICSEARCH_HOSTS\": \"https://localhost:9200\",\n \"ELASTICSEARCH_USERNAME\": \"elastic\",\n \"ELASTICSEARCH_PASSWORD\": \"test123\"\n }\n }\n }\n}\n\n// For OpenSearch\n{\n \"mcpServers\": {\n \"opensearch-mcp-server\": {\n \"command\": \"uv\",\n \"args\": [\n \"--directory\",\n \"path/to/src/elasticsearch_mcp_server\",\n \"run\",\n \"opensearch-mcp-server\"\n ],\n \"env\": {\n \"OPENSEARCH_HOSTS\": \"https://localhost:9200\",\n \"OPENSEARCH_USERNAME\": \"admin\",\n \"OPENSEARCH_PASSWORD\": \"admin\"\n }\n }\n }\n}\n```\n\n* 在 macOS 上： `~/Library/Application Support/Claude/claude_desktop_config.json`\n* 在 Windows 上： `%APPDATA%/Claude/claude_desktop_config.json`\n\n重新启动 Claude Desktop 以加载新的 MCP 服务器。\n\n现在，您可以使用自然语言命令通过 Claude 与您的 Elasticsearch/OpenSearch 集群进行交互，例如：\n\n* “列出集群中的所有索引”\n* “学生鲍勃多大了？”\n* “显示集群健康状态”\n\n## 与 Anthropic MCP 客户端一起使用\n\n```python\nuv run mcp_client/client.py src/server.py\n```\n\n## 执照\n\n该项目根据 Apache 许可证版本 2.0 获得许可 - 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