[{"_1":2,"_283":-5,"_284":-5},"loaderData",{"_3":4,"_22":23,"_24":25,"_230":231},"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",5678464,"membership","referenceId","01967c61-a834-7759-ad6a-fdd627db33d9","userAccount","routes/_public/_layout",{},"routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_26":27,"_68":-5,"_69":28,"_29":70,"_148":149,"_229":118},"availableLocales",[28,40,47,54,61],{"_29":30,"_33":37,"_38":39},"mcpServer",{"_31":32,"_33":34,"_35":36},"description","A Model Context Protocol server that enables LLMs to perform Google searches via the Serper API, allowing models to retrieve current information from the web.","name","Serper MCP Server","readme","# Serper MCP Server\n\nA Model Context Protocol server that provides **Google Search via Serper**. This server enables LLMs to get search result information from Google.\n\n## Available Tools\n\n- `google_search` - Get the result of the search.\n - Required arguments:\n - `q` (string): The query to search for\n - Optional arguments:\n - `gl` (string): The country to search in, e.g. us, uk, ca, au, etc.\n - `location` (string): The location to search in, e.g. San Francisco, CA, USA\n - `hl` (string): The language to search in, e.g. en, es, fr, de, etc.\n - `tbs` (string): The time period to search in, e.g. d, w, m, y\n - `num` (integer): The number of results to return, max is 100 (default: 10)\n - `page` (integer): The page number to return, first page is 1 (default: 1)\n\n\n## Usage\n\n### Using `uv` (recommended)\n\n1. Make sure you had installed [`uv`](https://docs.astral.sh/uv/) on your os system.\n\n2. In your MCP client code configuration or **Claude** settings (file `claude_desktop_config.json`) add `serper` mcp server:\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"uvx\",\n \"args\": [\"serper-mcp-server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n `uv` will download mcp server automatically using `uvx` from [pypi.org](https://pypi.org/project/serper-mcp-server/) and apply to your MCP client.\n\n### Using `pip` for project\n1. Add `serper-mcp-server` to your MCP client code `requirements.txt` file.\n ```txt\n serper-mcp-server\n ```\n\n2. Install the dependencies.\n ```shell\n pip install -r requirements.txt\n ```\n\n3. Add the configuration for you client:\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"python3\",\n \"args\": [\"-m\", \"serper_mcp_server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n\n### Using `pip` for globally usage\n\n1. Make sure the `pip` or `pip3` is in your os system.\n ```bash\n pip install serper-mcp-server\n # or\n pip3 install serper-mcp-server\n ```\n\n2. MCP client code configuration or **Claude** settings, add `serper` mcp server:\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"python3\",\n \"args\": [\"serper-mcp-server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n\n## Debugging\n\nYou can use the MCP inspector to debug the server. For `uvx` installations:\n\n```bash\nnpx @modelcontextprotocol/inspector uvx serper-mcp-server\n```\n\nOr if you've installed the package in a specific directory or are developing on it:\n\n```bash\ncd path/to/servers/src/serper\nnpx @modelcontextprotocol/inspector uv run serper-mcp-server\n```\n\n\n## License\n\nserper-mcp-server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.","English","tag","en-US",{"_29":41,"_33":45,"_38":46},{"_31":42,"_33":43,"_35":44},"Un servidor de protocolo de contexto de modelo que permite a los LLM realizar búsquedas en Google a través de la API de Serper, lo que permite que los modelos recuperen información actual de la web.","Servidor Serper MCP","# Servidor Serper MCP\n\nUn servidor de Protocolo de Contexto de Modelo (MLM) que proporciona **la Búsqueda de Google a través de Serper** . Este servidor permite a los LLM obtener información de los resultados de búsqueda de Google.\n\n## Herramientas disponibles\n\n* `google_search` - Obtener el resultado de la búsqueda.\n * Argumentos obligatorios:\n * `q` (cadena): La consulta a buscar\n * Argumentos opcionales:\n * `gl` (cadena): el país donde buscar, por ejemplo, EE. UU., Reino Unido, CA, AU, etc.\n * `location` (cadena): la ubicación donde buscar, por ejemplo, San Francisco, CA, EE. UU.\n * `hl` (cadena): el idioma en el que buscar, por ejemplo, en, es, fr, de, etc.\n * `tbs` (cadena): el período de tiempo en el que se buscará, p. ej., d, w, m, y\n * `num` (entero): el número de resultados a devolver, el máximo es 100 (valor predeterminado: 10)\n * `page` (entero): el número de página a devolver, la primera página es 1 (predeterminado: 1)\n\n## Uso\n\n### Uso de `uv` (recomendado)\n\n1. Asegúrese de haber instalado [`uv`](https://docs.astral.sh/uv/) en su sistema operativo.\n\n2. En la configuración del código de cliente MCP o en la configuración **de Claude** (archivo `claude_desktop_config.json` ) agregue el servidor `serper` mcp:\n\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"uvx\",\n \"args\": [\"serper-mcp-server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n `uv` descargará el servidor mcp automáticamente usando `uvx` desde [pypi.org](https://pypi.org/project/serper-mcp-server/) y lo aplicará a su cliente MCP.\n\n### Usando `pip` para el proyecto\n\n1. Agregue `serper-mcp-server` a su archivo `requirements.txt` del código de cliente MCP.\n\n ```txt\n serper-mcp-server\n ```\n\n2. Instalar las dependencias.\n\n ```shell\n pip install -r requirements.txt\n ```\n\n3. Añade la configuración para tu cliente:\n\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"python3\",\n \"args\": [\"-m\", \"serper_mcp_server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n### Uso de `pip` para uso global\n\n1. Asegúrese de que `pip` o `pip3` esté en su sistema operativo.\n\n ```bash\n pip install serper-mcp-server\n # or\n pip3 install serper-mcp-server\n ```\n\n2. Configuración del código del cliente MCP o configuración **de Claude** , agregar servidor `serper` mcp:\n\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"python3\",\n \"args\": [\"serper-mcp-server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n## Depuración\n\nPuede usar el inspector MCP para depurar el servidor. Para instalaciones `uvx` :\n\n```bash\nnpx @modelcontextprotocol/inspector uvx serper-mcp-server\n```\n\nO si ha instalado el paquete en un directorio específico o está desarrollando en él:\n\n```bash\ncd path/to/servers/src/serper\nnpx @modelcontextprotocol/inspector uv run serper-mcp-server\n```\n\n## Licencia\n\nserper-mcp-server cuenta con la licencia MIT. Esto significa que puede usar, modificar y distribuir el software libremente, sujeto a los términos y condiciones de la licencia MIT. Para más detalles, consulte el archivo de licencia en el repositorio del proyecto.","Spanish","es-ES",{"_29":48,"_33":52,"_38":53},{"_31":49,"_33":50,"_35":51},"LLM が Serper API 経由で Google 検索を実行できるようにし、モデルが Web から現在の情報を取得できるようにするモデルコンテキストプロトコルサーバー。","Serper MCP サーバー","# Serper MCP サーバー\n\n**Serper経由でGoogle検索を**提供するモデルコンテキストプロトコルサーバー。このサーバーにより、LLMはGoogleから検索結果情報を取得できます。\n\n## 利用可能なツール\n\n* `google_search` - 検索の結果を取得します。\n * 必要な引数:\n * `q` (文字列): 検索するクエリ\n * オプションの引数:\n * `gl` (文字列): 検索する国 (例: us、uk、ca、au など)。\n * `location` (文字列): 検索する場所（例：サンフランシスコ、カリフォルニア州、米国）\n * `hl` (文字列): 検索する言語 (例: en、es、fr、de など)。\n * `tbs` (文字列): 検索する期間（例：d、w、m、y）\n * `num` (整数): 返される結果の数。最大値は 100 (デフォルト: 10)\n * `page` (整数): 返されるページ番号。最初のページは 1 (デフォルト: 1)\n\n## 使用法\n\n### `uv`の使用（推奨）\n\n1. OS システムに[`uv`](https://docs.astral.sh/uv/)がインストールされていることを確認してください。\n\n2. MCP クライアントコード構成または**Claude**設定 (ファイル`claude_desktop_config.json` ) に、 `serper` mcp サーバーを追加します。\n\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"uvx\",\n \"args\": [\"serper-mcp-server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n `uv`は[pypi.org](https://pypi.org/project/serper-mcp-server/)から`uvx`を使用して mcp サーバーを自動的にダウンロードし、MCP クライアントに適用します。\n\n### プロジェクトに`pip`を使用する\n\n1. MCP クライアントコードの`requirements.txt`ファイルに`serper-mcp-server`追加します。\n\n ```txt\n serper-mcp-server\n ```\n\n2. 依存関係をインストールします。\n\n ```shell\n pip install -r requirements.txt\n ```\n\n3. クライアントの設定を追加します:\n\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"python3\",\n \"args\": [\"-m\", \"serper_mcp_server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n### グローバル使用のために`pip`を使用する\n\n1. `pip`または`pip3` OS システム内にあることを確認してください。\n\n ```bash\n pip install serper-mcp-server\n # or\n pip3 install serper-mcp-server\n ```\n\n2. MCP クライアントコード構成または**Claude**設定、 `serper` mcp サーバーを追加します。\n\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"python3\",\n \"args\": [\"serper-mcp-server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n## デバッグ\n\n`uvx`インスペクタを使用してサーバーをデバッグできます。UVXインストールの場合：\n\n```bash\nnpx @modelcontextprotocol/inspector uvx serper-mcp-server\n```\n\nまたは、パッケージを特定のディレクトリにインストールした場合や、そのディレクトリで開発している場合は、次のようにします。\n\n```bash\ncd path/to/servers/src/serper\nnpx @modelcontextprotocol/inspector uv run serper-mcp-server\n```\n\n## ライセンス\n\nserper-mcp-server は MIT ライセンスに基づきライセンスされています。つまり、MIT ライセンスの条件に従って、ソフトウェアを自由に使用、改変、配布することができます。詳細については、プロジェクトリポジトリの LICENSE ファイルをご覧ください。","Japanese","ja-JP",{"_29":55,"_33":59,"_38":60},{"_31":56,"_33":57,"_35":58},"LLM이 Serper API를 통해 Google 검색을 수행할 수 있도록 하는 모델 컨텍스트 프로토콜 서버로, 모델이 웹에서 최신 정보를 검색할 수 있도록 해줍니다.","Serper MCP 서버","# Serper MCP 서버\n\n**Serper를 통해 Google 검색을** 제공하는 모델 컨텍스트 프로토콜 서버입니다. 이 서버를 통해 LLM은 Google에서 검색 결과 정보를 얻을 수 있습니다.\n\n## 사용 가능한 도구\n\n* `google_search` - 검색 결과를 가져옵니다.\n * 필수 인수:\n * `q` (문자열): 검색할 쿼리\n * 선택 인수:\n * `gl` (문자열): 검색할 국가(예: us, uk, ca, au 등)\n * `location` (문자열): 검색할 위치(예: 샌프란시스코, 캘리포니아, 미국)\n * `hl` (문자열): 검색에 사용할 언어, 예: en, es, fr, de 등\n * `tbs` (문자열): 검색할 기간(예: d, w, m, y)\n * `num` (정수): 반환할 결과 수, 최대값은 100(기본값: 10)\n * `page` (정수): 반환할 페이지 번호, 첫 번째 페이지는 1입니다(기본값: 1)\n\n## 용법\n\n### `uv` 사용(권장)\n\n1. OS 시스템에 [`uv`](https://docs.astral.sh/uv/) 설치되어 있는지 확인하세요.\n\n2. MCP 클라이언트 코드 구성 또는 **Claude** 설정( `claude_desktop_config.json` 파일)에서 `serper` mcp 서버를 추가합니다.\n\n 지엑스피1\n\n `uv`[pypi.org](https://pypi.org/project/serper-mcp-server/) 의 `uvx` 사용하여 자동으로 mcp 서버를 다운로드하고 MCP 클라이언트에 적용합니다.\n\n### 프로젝트에 `pip` 사용\n\n1. MCP 클라이언트 코드 `requirements.txt` 파일에 `serper-mcp-server` 추가합니다.\n\n ```txt\n serper-mcp-server\n ```\n\n2. 종속성을 설치합니다.\n\n ```shell\n pip install -r requirements.txt\n ```\n\n3. 클라이언트에 대한 구성을 추가합니다.\n\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"python3\",\n \"args\": [\"-m\", \"serper_mcp_server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n### 글로벌 사용을 위해 `pip` 사용\n\n1. `pip` 또는 `pip3` OS 시스템에 있는지 확인하세요.\n\n ```bash\n pip install serper-mcp-server\n # or\n pip3 install serper-mcp-server\n ```\n\n2. MCP 클라이언트 코드 구성 또는 **Claude** 설정, `serper` mcp 서버 추가:\n\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"python3\",\n \"args\": [\"serper-mcp-server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n## 디버깅\n\nMCP 검사기를 사용하여 서버를 디버깅할 수 있습니다. `uvx` 설치의 경우:\n\n```bash\nnpx @modelcontextprotocol/inspector uvx serper-mcp-server\n```\n\n또는 특정 디렉토리에 패키지를 설치했거나 해당 디렉토리에서 개발 중인 경우:\n\n```bash\ncd path/to/servers/src/serper\nnpx @modelcontextprotocol/inspector uv run serper-mcp-server\n```\n\n## 특허\n\nserper-mcp-server는 MIT 라이선스에 따라 라이선스가 부여됩니다. 즉, MIT 라이선스의 조건에 따라 소프트웨어를 자유롭게 사용, 수정 및 배포할 수 있습니다. 자세한 내용은 프로젝트 저장소의 LICENSE 파일을 참조하세요.","Korean","ko-KR",{"_29":62,"_33":66,"_38":67},{"_31":63,"_33":64,"_35":65},"模型上下文协议服务器使 LLM 能够通过 Serper API 执行 Google 搜索，从而允许模型从网络检索当前信息。","MCP 服务器","# MCP 服务器\n\n**通过 Serper 提供 Google 搜索的**模型上下文协议 (MCP) 服务器。该服务器使 LLM 能够从 Google 获取搜索结果信息。\n\n## 可用工具\n\n* `google_search` - 获取搜索结果。\n * 必需参数：\n * `q` （字符串）：要搜索的查询\n * 可选参数：\n * `gl` （字符串）：要搜索的国家/地区，例如美国、英国、加拿大、澳大利亚等。\n * `location` （字符串）：要搜索的位置，例如美国加利福尼亚州旧金山\n * `hl` （字符串）：要搜索的语言，例如 en、es、fr、de 等。\n * `tbs` （字符串）：要搜索的时间段，例如 d、w、m、y\n * `num` （整数）：返回的结果数，最大值为 100（默认值：10）\n * `page` （整数）：要返回的页码，第一页为 1（默认值：1）\n\n## 用法\n\n### 使用`uv` （推荐）\n\n1. 确保您已在操作系统上安装了[`uv`](https://docs.astral.sh/uv/) 。\n\n2. 在您的 MCP 客户端代码配置或**Claude**设置（文件`claude_desktop_config.json` ）中添加`serper` mcp 服务器：\n\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"uvx\",\n \"args\": [\"serper-mcp-server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n `uv`将使用`uvx`从[pypi.org](https://pypi.org/project/serper-mcp-server/)自动下载 mcp 服务器并应用到您的 MCP 客户端。\n\n### 使用`pip`进行项目\n\n1. 将`serper-mcp-server`添加到您的 MCP 客户端代码`requirements.txt`文件中。\n\n ```txt\n serper-mcp-server\n ```\n\n2. 安装依赖项。\n\n ```shell\n pip install -r requirements.txt\n ```\n\n3. 为您的客户端添加配置：\n\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"python3\",\n \"args\": [\"-m\", \"serper_mcp_server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n### 使用`pip`进行全局使用\n\n1. 确保`pip`或`pip3`在您的操作系统中。\n\n ```bash\n pip install serper-mcp-server\n # or\n pip3 install serper-mcp-server\n ```\n\n2. MCP 客户端代码配置或者**Claude**设置，添加`serper` mcp 服务器：\n\n ```json\n {\n \"mcpServers\": {\n \"serper\": {\n \"command\": \"python3\",\n \"args\": [\"serper-mcp-server\"],\n \"env\": {\n \"SERPER_API_KEY\": \"\"\n }\n }\n }\n }\n ```\n\n## 调试\n\n您可以使用 MCP 检查器来调试服务器。对于`uvx`安装：\n\n```bash\nnpx @modelcontextprotocol/inspector uvx serper-mcp-server\n```\n\n或者，如果您已将软件包安装在特定目录中或正在其上进行开发：\n\n```bash\ncd path/to/servers/src/serper\nnpx @modelcontextprotocol/inspector uv run serper-mcp-server\n```\n\n## 执照\n\nserper-mcp-server 采用 MIT 许可证。这意味着您可以自由使用、修改和分发该软件，但须遵守 MIT 许可证的条款和条件。更多详细信息，请参阅项目仓库中的 LICENSE 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