[{"_1":2,"_320":-5,"_321":-5},"loaderData",{"_3":4,"_29":30,"_252":253},"root",{"_5":6,"_14":15},"toasts",[7],{"_8":9,"_10":11,"_12":13},"uid","0199a0fd-b690-768a-bb23-8ed377bf2976","title","This MCP server does not support inspection","type","error","visitor",{"_16":17,"_18":19},"viewportWidth",1280,"visitorSession",{"_20":21,"_23":24,"_25":-5,"_26":27,"_28":-5},"attributes",[22],"bot","id",17365307,"membership","referenceId","0199a0f5-80f3-75d9-86a5-0e41e3be6810","userAccount","routes/_public/mcp/servers/~namespace/~slug/_pages/_layout",{"_31":32,"_70":-5,"_71":33,"_34":72,"_169":170,"_251":151},"availableLocales",[33,45,52,58,64],{"_34":35,"_38":42,"_43":44},"mcpServer",{"_36":37,"_38":39,"_40":41},"description","An MCP server that wraps the Azure CLI.\n\nAs LLMs are very good at generating Azure CLI commands, this server allows your LLM to list resources, update/create/delete them, fix errors (by looking at the logs), fix security issues...","name","Azure CLI MCP","readme","# Azure CLI MCP Server\n\nThis is an [MCP Server](https://modelcontextprotocol.io) that wraps the [Azure CLI](https://learn.microsoft.com/en-us/cli/azure/), adds a nice prompt to improve how it works, and exposes it.\n\n[![smithery badge](https://smithery.ai/badge/@jdubois/azure-cli-mcp)](https://smithery.ai/server/@jdubois/azure-cli-mcp)\n\n## Demos\n\n### Short 2-minute demo with Claude Desktop\n\n[![Short Demo](https://img.youtube.com/vi/y_OexCcfhW0/0.jpg)](https://www.youtube.com/watch?v=y_OexCcfhW0)\n\n### Complete 18-minute demo with VS Code\n\n[![Complete Demo](https://img.youtube.com/vi/NZxTr32A9lY/0.jpg)](https://www.youtube.com/watch?v=NZxTr32A9lY)\n\n## What can it do?\n\nIt has access to the full Azure CLI, so it can do anything the Azure CLI can do. Here are a few scenarios:\n\n- Listing your resources and checking their configuration. For example, you can get the rate limits of a model deployed\n to Azure OpenAI.\n- Fixing some configuration or security issues. For example, you can ask it to secure a Blob Storage account.\n- Creating resources. For example, you can ask it to create an Azure Container Apps instance, an Azure Container Registry, and connect them using managed identity.\n\n## Is it safe to use?\n\nAs the MCP server is driven by an LLM, we would recommend to be careful and validate the commands it generates. Then, if\nyou're using a good LLM like Claude 3.7 or GPT-4o, which has\nexcellent training data on Azure, our experience has been very good.\n\nPlease read our [License](LICENSE) which states that \"THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND\",\nso you use this MCP server at your own risk.\n\n## Is it secured, and should I run this on a remote server?\n\nShort answer: **NO**.\n\nThis MCP server runs `az` commands for you, and could be hacked by an attacker to run any other command. The current\nimplementation, as with most MCP servers at the moment, only works with the `stio` transport:\nit's supposed to run locally on your machine, using your Azure CLI credentials, as you would do by yourself.\n\nIn the future, it's totally possible to have this MCP server support the `http` transport, and an Azure token\nauthentication, so that it could be used remotely by different persons. It's a second step, that will be done once the\nMCP specification and SDK are more stable.\n\n## How do I install it?\n\n_This server can run inside a Docker container or as a Java executable JAR file._\n\nFor both options, only the `stio` transport is available. The `http` transport will be available later.\n\n### Install and configure the server with Docker\n\nCreate an Azure Service Principal and set the `AZURE_CREDENTIALS` environment variable. You can do this by running the\nfollowing command in your terminal:\n\n```bash\naz ad sp create-for-rbac --name \"azure-cli-mcp\" --role contributor --scopes /subscriptions//resourceGroups/ --json-auth\n```\n\nThis will create a new Service Principal with the specified name and role, and output the credentials in JSON format.\n\nYou can then run the server using Docker with the following command. To authenticate, set the `AZURE_CREDENTIALS` with\nthe output of the previous command.\n\n```bash\ndocker run --rm -p 6273:6273 -e AZURE_CREDENTIALS=\"{\"clientId\":\"....\",\"clientSecret\":\"....\",...}\" -i ghcr.io/jdubois/azure-cli-mcp:latest\n```\n\n#### Using VS Code\n\nTo use the server from VS Code:\n\n- Install GitHub Copilot\n- Install this MCP Server using the command palette: `MCP: Add Server...`\n - The configuration connects to the server using the `stio` transport\n - The command to run is `docker run -i --rm -e AZURE_CREDENTIALS ghcr.io/jdubois/azure-cli-mcp:latest`. You'll need to\n set the `AZURE_CREDENTIALS` environment variable to the JSON output from the Service Principal creation, with the\n quotes escaped: have a look below for a complete and secure example.\n- Configure GitHub Copilot to run in `Agent` mode, by clicking on the arrow at the bottom of the the chat window\n- On top of the chat window, you should see the `azure-cli-mcp` server configured as a tool\n\nYou can secure the `AZURE_CREDENTIALS` environment using the methode\ndescribed [in the documentation](https://code.visualstudio.com/docs/copilot/chat/mcp-servers#_configuration-example),\nhere is a complete example:\n\n```json\n{\n \"inputs\": [\n {\n \"type\": \"promptString\",\n \"id\": \"azure-credentials\",\n \"description\": \"Azure Credentials\",\n \"password\": true\n }\n ],\n \"servers\": {\n \"azure-cli\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AZURE_CREDENTIALS\",\n \"ghcr.io/jdubois/azure-cli-mcp:latest\"\n ],\n \"env\": {\n \"AZURE_CREDENTIALS\": \"${input:azure-credentials}\"\n }\n }\n }\n}\n```\n\n#### Using Claude Desktop\n\nTo use the server from Claude Desktop, add the server to your `claude_desktop_config.json` file.\nThe `AZURE_CREDENTIALS` environment variable should be set to the JSON output from the Service Principal creation, with\nthe quotes escaped.\n\n```json\n{\n \"mcpServers\": {\n \"azure-cli\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AZURE_CREDENTIALS\",\n \"ghcr.io/jdubois/azure-cli-mcp:latest\"\n ],\n \"env\": {\n \"AZURE_CREDENTIALS\": \"{\\\"clientId\\\":\\\"...\\\",\\\"clientSecret\\\":\\\"...\\\",...\"\n }\n }\n }\n}\n```\n\n### Installation with Smithery.ai\n\nYou can install the MCP server through Smithery.ai:\n\n[![smithery badge](https://smithery.ai/badge/@jdubois/azure-cli-mcp)](https://smithery.ai/server/@jdubois/azure-cli-mcp)\n\nThis is similar to our Docker container installation above, but runs on Smithery.ai's servers. While this installation\nis initially the easiest, please note that:\n\n- You will need an `AZURE_CREDENTIALS` key, as described below in the Docker installation section, and this key\n will be sent to Smithery.ai.\n- Smithery.ai is a third-party service, and you need to trust them to build this MCP server for you (it uses the same\n Dockerfile as our Docker image, but isn't built by us).\n- This is still an early preview service, so we can't guarantee how it will evolve.\n\n### Install and configure the server with Java\n\nThis configuration is running the server locally. It's easier to set up than with Docker,\nbut it's less secured as it uses directly your credentials using the Azure CLI configured on your machine.\n\n- Install the Azure CLI: you can do this by following the instructions [here](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli).\n- Authenticate to your Azure account. You can do this by running `az login` in your terminal.\n- Make sure you have Java 17 or higher installed. You can check this by running `java -version` in your terminal.\n\nBinaries are available on the [GitHub Release page](https://github.com/jdubois/azure-cli-mcp/releases), here's how you\ncan download the latest one with the GitHub CLI:\n\n- Download the latest release: `gh release download --repo jdubois/azure-cli-mcp --pattern='azure-cli-mcp.jar'`\n\n#### Using VS Code\n\n- Install GitHub Copilot\n- Install this MCP Server using the command palette: `MCP: Add Server...`\n - The configuration connects to the server using the `stio` transport\n - The command to run is `java -jar ~/Downloads/azure-cli-mcp.jar` (you need to point to the location where you\n downloaded the `azure-cli-mcp.jar` file)\n- Configure GitHub Copilot to run in `Agent` mode, by clicking on the arrow at the bottom of the the chat window\n- On top of the chat window, you should see the `azure-cli-mcp` server configured as a tool\n\n#### Using Claude Desktop\n\nTo use the server from Claude Desktop, add the server to your `claude_desktop_config.json` file. Please note that you\nneed to point to the location where you downloaded the `azure-cli-mcp.jar` file.\n\n```json\n{\n \"mcpServers\": {\n \"azure-cli\": {\n \"command\": \"java\",\n \"args\": [\n \"-jar\",\n \"~/Downloads/azure-cli-mcp.jar\"\n ]\n }\n }\n}\n```\n","English","tag","en-US",{"_34":46,"_38":50,"_43":51},{"_36":47,"_38":48,"_40":49},"Un servidor MCP que encapsula la CLI de Azure.\n\nComo los LLM son muy buenos para generar comandos CLI de Azure, este servidor le permite a su LLM enumerar recursos, actualizarlos, crearlos o eliminarlos, corregir errores (mirando los registros), solucionar problemas de seguridad, etc.","MCP de la CLI de Azure","# Servidor MCP de la CLI de Azure\n\nEste es un [servidor MCP](https://modelcontextprotocol.io) que envuelve la [CLI de Azure](https://learn.microsoft.com/en-us/cli/azure/) , agrega un mensaje agradable para mejorar su funcionamiento y lo expone.\n\n[![insignia de herrería](https://smithery.ai/badge/@jdubois/azure-cli-mcp)](https://smithery.ai/server/@jdubois/azure-cli-mcp)\n\n## Población\n\n### Breve demostración de 2 minutos con Claude Desktop\n\n[![Demostración breve](https://img.youtube.com/vi/y_OexCcfhW0/0.jpg)](https://www.youtube.com/watch?v=y_OexCcfhW0)\n\n### Demostración completa de 18 minutos con VS Code\n\n[![Demo completa](https://img.youtube.com/vi/NZxTr32A9lY/0.jpg)](https://www.youtube.com/watch?v=NZxTr32A9lY)\n\n## ¿Qué puede hacer?\n\nTiene acceso completo a la CLI de Azure, por lo que puede hacer todo lo que esta permite. A continuación, se presentan algunos escenarios:\n\n* Enumerar sus recursos y comprobar su configuración. Por ejemplo, puede obtener los límites de velocidad de un modelo implementado en Azure OpenAI.\n* Solucionar algunos problemas de configuración o seguridad. Por ejemplo, puedes solicitarle que proteja una cuenta de Blob Storage.\n* Creación de recursos. Por ejemplo, puedes pedirle que cree una instancia de Azure Container Apps y un Azure Container Registry, y que los conecte mediante una identidad administrada.\n\n## ¿Es seguro usarlo?\n\nDado que el servidor MCP se ejecuta mediante un LLM, recomendamos tener cuidado y validar los comandos que genera. Si utiliza un buen LLM como Claude 3.7 o GPT-4o, que ofrece excelentes datos de entrenamiento en Azure, nuestra experiencia ha sido muy buena.\n\nLea nuestra [Licencia](LICENSE) que establece que \"EL SOFTWARE SE PROPORCIONA \"TAL CUAL\", SIN GARANTÍA DE NINGÚN TIPO\", por lo que utiliza este servidor MCP bajo su propio riesgo.\n\n## ¿Es seguro y debo ejecutarlo en un servidor remoto?\n\nRespuesta corta: **NO** .\n\nEste servidor MCP ejecuta comandos `az` automáticamente y podría ser pirateado por un atacante para ejecutar cualquier otro comando. La implementación actual, al igual que la mayoría de los servidores MCP, solo funciona con el transporte `stio` : se supone que se ejecuta localmente en su equipo, usando sus credenciales de la CLI de Azure, como lo haría usted mismo.\n\nEn el futuro, será totalmente posible que este servidor MCP admita el transporte `http` y la autenticación mediante token de Azure, para que pueda ser utilizado remotamente por diferentes personas. Este es un segundo paso que se implementará una vez que la especificación y el SDK de MCP sean más estables.\n\n## ¿Cómo lo instalo?\n\n*Este servidor puede ejecutarse dentro de un contenedor Docker o como un archivo JAR ejecutable de Java.*\n\nPara ambas opciones, solo está disponible el transporte `stio` . El transporte `http` estará disponible más adelante.\n\n### Instalar y configurar el servidor con Docker\n\nCree una entidad de servicio de Azure y configure la variable de entorno `AZURE_CREDENTIALS` . Para ello, ejecute el siguiente comando en su terminal:\n\n```bash\naz ad sp create-for-rbac --name \"azure-cli-mcp\" --role contributor --scopes /subscriptions//resourceGroups/ --json-auth\n```\n\nEsto creará un nuevo principal de servicio con el nombre y rol especificados, y generará las credenciales en formato JSON.\n\nLuego, puede ejecutar el servidor mediante Docker con el siguiente comando. Para autenticarse, configure `AZURE_CREDENTIALS` con la salida del comando anterior.\n\n```bash\ndocker run --rm -p 6273:6273 -e AZURE_CREDENTIALS=\"{\"clientId\":\"....\",\"clientSecret\":\"....\",...}\" -i ghcr.io/jdubois/azure-cli-mcp:latest\n```\n\n#### Usando VS Code\n\nPara utilizar el servidor desde VS Code:\n\n* Instalar GitHub Copilot\n* Instale este servidor MCP usando la paleta de comandos: `MCP: Add Server...`\n\n * La configuración se conecta al servidor mediante el transporte `stio`\n * El comando a ejecutar es `docker run -i --rm -e AZURE_CREDENTIALS ghcr.io/jdubois/azure-cli-mcp:latest` . Deberá configurar la variable de entorno `AZURE_CREDENTIALS` con la salida JSON de la creación de la entidad de servicio, con las comillas de escape. Consulte a continuación un ejemplo completo y seguro.\n* Configure GitHub Copilot para que se ejecute en modo `Agent` , haciendo clic en la flecha en la parte inferior de la ventana de chat\n* En la parte superior de la ventana de chat, debería ver el servidor `azure-cli-mcp` configurado como una herramienta\n\nPuede proteger el entorno `AZURE_CREDENTIALS` utilizando el método descrito [en la documentación](https://code.visualstudio.com/docs/copilot/chat/mcp-servers#_configuration-example) ; aquí hay un ejemplo completo:\n\n```json\n{\n \"inputs\": [\n {\n \"type\": \"promptString\",\n \"id\": \"azure-credentials\",\n \"description\": \"Azure Credentials\",\n \"password\": true\n }\n ],\n \"servers\": {\n \"azure-cli\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AZURE_CREDENTIALS\",\n \"ghcr.io/jdubois/azure-cli-mcp:latest\"\n ],\n \"env\": {\n \"AZURE_CREDENTIALS\": \"${input:azure-credentials}\"\n }\n }\n }\n}\n```\n\n#### Uso de Claude Desktop\n\nPara usar el servidor de Claude Desktop, agréguelo al archivo `claude_desktop_config.json` . La variable de entorno `AZURE_CREDENTIALS` debe configurarse con la salida JSON de la creación de la entidad de servicio, con las comillas de escape.\n\n```json\n{\n \"mcpServers\": {\n \"azure-cli\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AZURE_CREDENTIALS\",\n \"ghcr.io/jdubois/azure-cli-mcp:latest\"\n ],\n \"env\": {\n \"AZURE_CREDENTIALS\": \"{\\\"clientId\\\":\\\"...\\\",\\\"clientSecret\\\":\\\"...\\\",...\"\n }\n }\n }\n}\n```\n\n### Instalación con Smithery.ai\n\nPuedes instalar el servidor MCP a través de Smithery.ai:\n\n[![insignia de herrería](https://smithery.ai/badge/@jdubois/azure-cli-mcp)](https://smithery.ai/server/@jdubois/azure-cli-mcp)\n\nEsta instalación es similar a la del contenedor Docker que mencionamos anteriormente, pero se ejecuta en los servidores de Smithery.ai. Si bien esta instalación es la más sencilla al principio, tenga en cuenta lo siguiente:\n\n* Necesitará una clave `AZURE_CREDENTIALS` , como se describe a continuación en la sección de instalación de Docker, y esta clave se enviará a Smithery.ai.\n* Smithery.ai es un servicio de terceros, y debes confiar en ellos para que construyan este servidor MCP para ti (utiliza el mismo Dockerfile que nuestra imagen Docker, pero no lo construimos nosotros).\n* Este todavía es un servicio de vista previa preliminar, por lo que no podemos garantizar cómo evolucionará.\n\n### Instalar y configurar el servidor con Java\n\nEsta configuración ejecuta el servidor localmente. Es más fácil de configurar que con Docker, pero es menos segura, ya que usa directamente tus credenciales mediante la CLI de Azure configurada en tu equipo.\n\n* Instalar la CLI de Azure: puedes hacerlo siguiendo las instrucciones [aquí](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli) .\n* Autentíquese en su cuenta de Azure. Puede hacerlo ejecutando `az login` en su terminal.\n* Asegúrate de tener instalado Java 17 o una versión superior. Puedes comprobarlo ejecutando `java -version` en tu terminal.\n\nLos binarios están disponibles en la [página de lanzamiento de GitHub](https://github.com/jdubois/azure-cli-mcp/releases) . Aquí le mostramos cómo puede descargar el último con la CLI de GitHub:\n\n* Descargue la última versión: `gh release download --repo jdubois/azure-cli-mcp --pattern='azure-cli-mcp.jar'`\n\n#### Usando VS Code\n\n* Instalar GitHub Copilot\n* Instale este servidor MCP usando la paleta de comandos: `MCP: Add Server...`\n\n * La configuración se conecta al servidor mediante el transporte `stio`\n * El comando a ejecutar es `java -jar ~/Downloads/azure-cli-mcp.jar` (debe apuntar a la ubicación donde descargó el archivo `azure-cli-mcp.jar` )\n* Configure GitHub Copilot para que se ejecute en modo `Agent` , haciendo clic en la flecha en la parte inferior de la ventana de chat\n* En la parte superior de la ventana de chat, debería ver el servidor `azure-cli-mcp` configurado como una herramienta\n\n#### Uso de Claude Desktop\n\nPara usar el servidor desde Claude Desktop, agréguelo a su archivo `claude_desktop_config.json` . Tenga en cuenta que debe apuntar a la ubicación donde descargó el archivo `azure-cli-mcp.jar` .\n\n```json\n{\n \"mcpServers\": {\n \"azure-cli\": {\n \"command\": \"java\",\n \"args\": [\n \"-jar\",\n \"~/Downloads/azure-cli-mcp.jar\"\n ]\n }\n }\n}\n```","Spanish","es-ES",{"_34":53,"_38":56,"_43":57},{"_36":54,"_38":39,"_40":55},"Azure CLI をラップする MCP サーバー。\n\nLLM は Azure CLI コマンドの生成に非常に優れているため、このサーバーを使用すると、LLM はリソースの一覧表示、リソースの更新/作成/削除、エラーの修正 (ログの確認による)、セキュリティ問題の修正などを行うことができます。","# Azure CLI MCP サーバー\n\nこれは、 [Azure CLI](https://learn.microsoft.com/en-us/cli/azure/)をラップし、動作を改善するための適切なプロンプトを追加して公開する[MCP サーバー](https://modelcontextprotocol.io)です。\n\n[![鍛冶屋のバッジ](https://smithery.ai/badge/@jdubois/azure-cli-mcp)](https://smithery.ai/server/@jdubois/azure-cli-mcp)\n\n## デモ\n\n### Claude Desktop による 2 分間の短いデモ\n\n[![ショートデモ](https://img.youtube.com/vi/y_OexCcfhW0/0.jpg)](https://www.youtube.com/watch?v=y_OexCcfhW0)\n\n### VS Code を使った 18 分間のデモを完了する\n\n[![完全なデモ](https://img.youtube.com/vi/NZxTr32A9lY/0.jpg)](https://www.youtube.com/watch?v=NZxTr32A9lY)\n\n## それは何ができるのでしょうか?\n\nAzure CLI に完全アクセスできるため、Azure CLI で実行できるすべての操作を実行できます。以下にいくつかのシナリオを示します。\n\n* リソースを一覧表示し、構成を確認します。たとえば、Azure OpenAI にデプロイされたモデルのレート制限を取得できます。\n* 設定やセキュリティに関する問題を修正します。例えば、Blob Storage アカウントのセキュリティ保護を依頼できます。\n* リソースの作成。たとえば、Azure Container Apps インスタンスと Azure Container Registry を作成し、マネージド ID を使用してそれらを接続するように要求できます。\n\n## 使用しても安全ですか?\n\nMCPサーバーはLLMによって駆動されるため、生成されるコマンドを慎重に検証することをお勧めします。Azure上で優れた学習データを持つClaude 3.7やGPT-4oなどの優れたLLMを使用している場合は、私たちの経験では非常に良好な結果が得られています。\n\n「ソフトウェアは現状のまま、いかなる保証もなく提供されます」と記載されている当社の[ライセンス](LICENSE)をよく読んでください。したがって、この MCP サーバーは自己責任で使用してください。\n\n## これは安全ですか? また、リモートサーバーでこれを実行する必要がありますか?\n\n短い答え:**いいえ**。\n\nこのMCPサーバーは`az`コマンドを実行しますが、攻撃者によってハッキングされ、他のコマンドを実行する可能性があります。現在の実装は、ほとんどのMCPサーバーと同様に、 `stio`トランスポートでのみ動作します。つまり、Azure CLIの資格情報を使用して、ユーザーが自分で行うのと同じように、ローカルマシン上で実行されるはずです。\n\n将来的には、このMCPサーバーが`http`トランスポートとAzureトークン認証をサポートし、複数のユーザーがリモートで使用できるようになる可能性も十分にあります。これは第二段階であり、MCP仕様とSDKがより安定した段階で実施される予定です。\n\n## どうやってインストールするのですか?\n\n*このサーバーは、Docker コンテナ内または Java 実行可能 JAR ファイルとして実行できます。*\n\nどちらのオプションでも、 `stio`トランスポートのみが利用可能です。http `http`ポートは後日利用可能になります。\n\n### Dockerを使用してサーバーをインストールして構成する\n\nAzureサービスプリンシパルを作成し、 `AZURE_CREDENTIALS`環境変数を設定します。これは、ターミナルで次のコマンドを実行することで実行できます。\n\n```bash\naz ad sp create-for-rbac --name \"azure-cli-mcp\" --role contributor --scopes /subscriptions//resourceGroups/ --json-auth\n```\n\nこれにより、指定された名前とロールを持つ新しいサービスプリンシパルが作成され、資格情報が JSON 形式で出力されます。\n\n次のコマンドでDockerを使ってサーバーを実行できます。認証するには、前のコマンドの出力を`AZURE_CREDENTIALS`に設定してください。\n\n```bash\ndocker run --rm -p 6273:6273 -e AZURE_CREDENTIALS=\"{\"clientId\":\"....\",\"clientSecret\":\"....\",...}\" -i ghcr.io/jdubois/azure-cli-mcp:latest\n```\n\n#### VSコードの使用\n\nVS Code からサーバーを使用するには:\n\n* GitHub Copilotをインストールする\n* コマンドパレットを使用してこの MCP サーバーをインストールします: `MCP: Add Server...`\n\n * 構成は`stio`トランスポートを使用してサーバーに接続します\n * 実行するコマンドは`docker run -i --rm -e AZURE_CREDENTIALS ghcr.io/jdubois/azure-cli-mcp:latest``AZURE_CREDENTIALS` 。AZURE\\_CREDENTIALS 環境変数に、サービスプリンシパル作成時のJSON出力を設定する必要があります。引用符はエスケープしてください。完全かつ安全な例については、以下をご覧ください。\n* チャットウィンドウの下部にある矢印をクリックして、GitHub Copilotを`Agent`モードで実行するように設定します。\n* チャットウィンドウの上部に、ツールとして構成された`azure-cli-mcp`サーバーが表示されます。\n\n[ドキュメントに](https://code.visualstudio.com/docs/copilot/chat/mcp-servers#_configuration-example)記載されている方法を使用して`AZURE_CREDENTIALS`環境を保護できます。完全な例を次に示します。\n\n```json\n{\n \"inputs\": [\n {\n \"type\": \"promptString\",\n \"id\": \"azure-credentials\",\n \"description\": \"Azure Credentials\",\n \"password\": true\n }\n ],\n \"servers\": {\n \"azure-cli\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AZURE_CREDENTIALS\",\n \"ghcr.io/jdubois/azure-cli-mcp:latest\"\n ],\n \"env\": {\n \"AZURE_CREDENTIALS\": \"${input:azure-credentials}\"\n }\n }\n }\n}\n```\n\n#### Claudeデスクトップの使用\n\nClaude Desktop のサーバーを使用するには、 `claude_desktop_config.json`ファイルにサーバーを追加します。AZURE\\_CREDENTIALS 環境変数には、サービスプリンシパル作成`AZURE_CREDENTIALS`の JSON 出力を引用符でエスケープして設定する必要があります。\n\n```json\n{\n \"mcpServers\": {\n \"azure-cli\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AZURE_CREDENTIALS\",\n \"ghcr.io/jdubois/azure-cli-mcp:latest\"\n ],\n \"env\": {\n \"AZURE_CREDENTIALS\": \"{\\\"clientId\\\":\\\"...\\\",\\\"clientSecret\\\":\\\"...\\\",...\"\n }\n }\n }\n}\n```\n\n### Smithery.aiを使ったインストール\n\nSmithery.ai を通じて MCP サーバーをインストールできます。\n\n[![鍛冶屋のバッジ](https://smithery.ai/badge/@jdubois/azure-cli-mcp)](https://smithery.ai/server/@jdubois/azure-cli-mcp)\n\nこれは上記のDockerコンテナのインストールと似ていますが、Smithery.aiのサーバー上で実行されます。このインストールは最初は最も簡単ですが、以下の点にご注意ください。\n\n* 以下の Docker インストールセクションで説明するように、 `AZURE_CREDENTIALS`キーが必要になります。このキーは Smithery.ai に送信されます。\n* Smithery.ai はサードパーティのサービスであり、この MCP サーバーを構築するには Smithery.ai を信頼する必要があります (当社の Docker イメージと同じ Dockerfile を使用しますが、当社では構築していません)。\n* これはまだ初期のプレビューサービスであるため、今後どのように進化するかは保証できません。\n\n### Javaを使用してサーバーをインストールして構成する\n\nこの構成では、サーバーをローカルで実行します。Docker よりもセットアップは簡単ですが、マシンに設定された Azure CLI を使用して資格情報を直接使用するため、セキュリティは低くなります。\n\n* Azure CLI をインストールします。これは、[ここの](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli)手順に従って実行できます。\n* Azureアカウントの認証を行います。ターミナルで`az login`実行することで認証できます。\n* Java 17以降がインストールされていることを確認してください。ターミナルで`java -version`実行することで確認できます。\n\nバイナリは[GitHub リリースページ](https://github.com/jdubois/azure-cli-mcp/releases)で入手できます。GitHub CLI を使用して最新のものをダウンロードする方法は次のとおりです。\n\n* 最新リリースをダウンロードします: `gh release download --repo jdubois/azure-cli-mcp --pattern='azure-cli-mcp.jar'`\n\n#### VSコードの使用\n\n* GitHub Copilotをインストールする\n* コマンドパレットを使用してこの MCP サーバーをインストールします: `MCP: Add Server...`\n\n * 構成は`stio`トランスポートを使用してサーバーに接続します\n * 実行するコマンドは`java -jar ~/Downloads/azure-cli-mcp.jar`です ( `azure-cli-mcp.jar`ファイルをダウンロードした場所を指定する必要があります)\n* チャットウィンドウの下部にある矢印をクリックして、GitHub Copilotを`Agent`モードで実行するように設定します。\n* チャットウィンドウの上部に、ツールとして構成された`azure-cli-mcp`サーバーが表示されます。\n\n#### Claudeデスクトップの使用\n\nClaude Desktop のサーバーを使用するには、 `claude_desktop_config.json`ファイルにサーバーを追加してください。azure `azure-cli-mcp.jar`ファイルをダウンロードした場所を指定する必要があります。\n\n```json\n{\n \"mcpServers\": {\n \"azure-cli\": {\n \"command\": \"java\",\n \"args\": [\n \"-jar\",\n \"~/Downloads/azure-cli-mcp.jar\"\n ]\n }\n }\n}\n```","Japanese","ja-JP",{"_34":59,"_38":62,"_43":63},{"_36":60,"_38":39,"_40":61},"Azure CLI를 래핑하는 MCP 서버입니다.\n\nLLM은 Azure CLI 명령을 생성하는 데 매우 뛰어나므로 이 서버를 사용하면 LLM에서 리소스를 나열하고, 업데이트/생성/삭제하고, 오류를 수정(로그를 확인하여), 보안 문제를 해결할 수 있습니다.","# Azure CLI MCP 서버\n\n[Azure CLI를](https://learn.microsoft.com/en-us/cli/azure/) 래핑하고, 작동 방식을 개선하기 위한 좋은 프롬프트를 추가하고, 이를 노출하는 [MCP 서버](https://modelcontextprotocol.io) 입니다.\n\n[![대장간 배지](https://smithery.ai/badge/@jdubois/azure-cli-mcp)](https://smithery.ai/server/@jdubois/azure-cli-mcp)\n\n## 시민\n\n### Claude Desktop을 사용한 2분 분량의 짧은 데모\n\n[![짧은 데모](https://img.youtube.com/vi/y_OexCcfhW0/0.jpg)](https://www.youtube.com/watch?v=y_OexCcfhW0)\n\n### VS Code를 사용한 18분 데모 완성\n\n[![데모 완료](https://img.youtube.com/vi/NZxTr32A9lY/0.jpg)](https://www.youtube.com/watch?v=NZxTr32A9lY)\n\n## 무엇을 할 수 있나요?\n\n전체 Azure CLI에 액세스할 수 있으므로 Azure CLI에서 할 수 있는 모든 작업을 수행할 수 있습니다. 다음은 몇 가지 시나리오입니다.\n\n* 리소스를 나열하고 구성을 확인합니다. 예를 들어 Azure OpenAI에 배포된 모델의 속도 제한을 확인할 수 있습니다.\n* 일부 구성 또는 보안 문제를 해결합니다. 예를 들어, Blob Storage 계정 보안을 요청할 수 있습니다.\n* 리소스 생성. 예를 들어 Azure Container Apps 인스턴스와 Azure Container Registry를 생성하고 관리 ID를 사용하여 연결하도록 요청할 수 있습니다.\n\n## 사용하기 안전한가요?\n\nMCP 서버는 LLM으로 구동되므로, 생성된 명령을 신중하게 검증하는 것이 좋습니다. 또한, Azure에서 우수한 학습 데이터를 제공하는 Claude 3.7이나 GPT-4o와 같은 우수한 LLM을 사용한다면, 저희 경험은 매우 좋았습니다.\n\n\"소프트웨어는 어떠한 종류의 보증 없이 '있는 그대로' 제공됩니다.\"라고 명시된 [라이센스를](LICENSE) 읽어 보시기 바랍니다. 따라서 귀하는 본인의 책임 하에 이 MCP 서버를 사용해야 합니다.\n\n## 보안이 되어 있나요? 원격 서버에서 실행해야 하나요?\n\n간단히 말해서, **아니요** .\n\n이 MCP 서버는 `az` 명령을 자동으로 실행하며, 공격자가 해킹하여 다른 명령을 실행할 수 있습니다. 현재 구현된 MCP 서버는 대부분의 MCP 서버와 마찬가지로 `stio` 전송 방식으로만 작동합니다. 즉, Azure CLI 자격 증명을 사용하여 사용자 컴퓨터에서 로컬로 실행되도록 되어 있으며, 사용자가 직접 실행하는 방식과 같습니다.\n\n앞으로 이 MCP 서버가 `http` 전송과 Azure 토큰 인증을 지원하여 다른 사용자가 원격으로 사용할 수 있도록 하는 것이 충분히 가능합니다. 이는 MCP 사양과 SDK가 안정화되면 구현될 두 번째 단계입니다.\n\n## 어떻게 설치하나요?\n\n*이 서버는 Docker 컨테이너 내부에서 실행되거나 Java 실행 가능 JAR 파일로 실행될 수 있습니다.*\n\n두 옵션 모두 `stio` 전송만 사용할 수 있습니다. `http` 전송은 나중에 사용할 수 있게 됩니다.\n\n### Docker로 서버 설치 및 구성\n\nAzure 서비스 주체를 만들고 `AZURE_CREDENTIALS` 환경 변수를 설정하세요. 터미널에서 다음 명령을 실행하여 이 작업을 수행할 수 있습니다.\n\n지엑스피1\n\n이렇게 하면 지정된 이름과 역할을 가진 새로운 서비스 주체가 생성되고 자격 증명이 JSON 형식으로 출력됩니다.\n\n다음 명령을 사용하여 Docker를 사용하여 서버를 실행할 수 있습니다. 인증을 위해 `AZURE_CREDENTIALS` 를 이전 명령의 출력으로 설정하세요.\n\n```bash\ndocker run --rm -p 6273:6273 -e AZURE_CREDENTIALS=\"{\"clientId\":\"....\",\"clientSecret\":\"....\",...}\" -i ghcr.io/jdubois/azure-cli-mcp:latest\n```\n\n#### VS 코드 사용\n\nVS Code에서 서버를 사용하려면:\n\n* GitHub Copilot 설치\n* 명령 팔레트를 사용하여 이 MCP 서버를 설치합니다: `MCP: Add Server...`\n\n * 구성은 `stio` 전송을 사용하여 서버에 연결됩니다.\n * 실행할 명령은 `docker run -i --rm -e AZURE_CREDENTIALS ghcr.io/jdubois/azure-cli-mcp:latest` 입니다. `AZURE_CREDENTIALS` 환경 변수를 서비스 주체 생성 시 생성된 JSON 출력으로 설정해야 하며, 따옴표는 이스케이프 처리해야 합니다. 완전하고 안전한 예시는 아래에서 확인하세요.\n* 채팅 창 하단의 화살표를 클릭하여 GitHub Copilot을 `Agent` 모드에서 실행하도록 구성합니다.\n* 채팅 창 상단에 도구로 구성된 `azure-cli-mcp` 서버가 표시되어야 합니다.\n\n[설명서에](https://code.visualstudio.com/docs/copilot/chat/mcp-servers#_configuration-example) 설명된 방법을 사용하여 `AZURE_CREDENTIALS` 환경을 보호할 수 있습니다. 다음은 전체 예입니다.\n\n```json\n{\n \"inputs\": [\n {\n \"type\": \"promptString\",\n \"id\": \"azure-credentials\",\n \"description\": \"Azure Credentials\",\n \"password\": true\n }\n ],\n \"servers\": {\n \"azure-cli\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AZURE_CREDENTIALS\",\n \"ghcr.io/jdubois/azure-cli-mcp:latest\"\n ],\n \"env\": {\n \"AZURE_CREDENTIALS\": \"${input:azure-credentials}\"\n }\n }\n }\n}\n```\n\n#### Claude Desktop 사용\n\nClaude Desktop에서 서버를 사용하려면 `claude_desktop_config.json` 파일에 서버를 추가하세요. `AZURE_CREDENTIALS` 환경 변수는 서비스 주체 생성 시 생성된 JSON 출력으로 설정해야 하며, 따옴표는 이스케이프 처리되어야 합니다.\n\n```json\n{\n \"mcpServers\": {\n \"azure-cli\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AZURE_CREDENTIALS\",\n \"ghcr.io/jdubois/azure-cli-mcp:latest\"\n ],\n \"env\": {\n \"AZURE_CREDENTIALS\": \"{\\\"clientId\\\":\\\"...\\\",\\\"clientSecret\\\":\\\"...\\\",...\"\n }\n }\n }\n}\n```\n\n### Smithery.ai를 통한 설치\n\nSmithery.ai를 통해 MCP 서버를 설치할 수 있습니다.\n\n[![대장간 배지](https://smithery.ai/badge/@jdubois/azure-cli-mcp)](https://smithery.ai/server/@jdubois/azure-cli-mcp)\n\n이는 위의 Docker 컨테이너 설치와 유사하지만 Smithery.ai 서버에서 실행됩니다. 이 설치가 처음에는 가장 쉽지만, 다음 사항에 유의하세요.\n\n* 아래 Docker 설치 섹션에 설명된 대로 `AZURE_CREDENTIALS` 키가 필요하며, 이 키는 Smithery.ai로 전송됩니다.\n* Smithery.ai는 타사 서비스이며, 이 MCP 서버를 구축하려면 해당 서비스를 신뢰해야 합니다(저희 Docker 이미지와 동일한 Dockerfile을 사용하지만, 저희가 직접 구축한 것은 아닙니다).\n* 아직 초기 미리보기 서비스이므로 앞으로 어떻게 발전할지 보장할 수 없습니다.\n\n### Java로 서버 설치 및 구성\n\n이 구성은 서버를 로컬에서 실행합니다. Docker보다 설정이 쉽지만, 컴퓨터에 구성된 Azure CLI를 통해 사용자 자격 증명을 직접 사용하므로 보안이 취약합니다.\n\n* Azure CLI를 설치하세요. [여기의](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli) 지침에 따라 설치하세요.\n* Azure 계정에 인증하세요. 터미널에서 `az login` 실행하면 됩니다.\n* Java 17 이상이 설치되어 있는지 확인하세요. 터미널에서 `java -version` 실행하여 확인할 수 있습니다.\n\n바이너리는 [GitHub 릴리스 페이지](https://github.com/jdubois/azure-cli-mcp/releases) 에서 다운로드할 수 있습니다. GitHub CLI를 사용하여 최신 바이너리를 다운로드하는 방법은 다음과 같습니다.\n\n* 최신 릴리스를 다운로드하세요: `gh release download --repo jdubois/azure-cli-mcp --pattern='azure-cli-mcp.jar'`\n\n#### VS 코드 사용\n\n* GitHub Copilot 설치\n* 명령 팔레트를 사용하여 이 MCP 서버를 설치합니다: `MCP: Add Server...`\n\n * 구성은 `stio` 전송을 사용하여 서버에 연결됩니다.\n * 실행할 명령은 `java -jar ~/Downloads/azure-cli-mcp.jar` 입니다( `azure-cli-mcp.jar` 파일을 다운로드한 위치를 지정해야 함)\n* 채팅 창 하단의 화살표를 클릭하여 GitHub Copilot을 `Agent` 모드에서 실행하도록 구성합니다.\n* 채팅 창 상단에 도구로 구성된 `azure-cli-mcp` 서버가 표시되어야 합니다.\n\n#### Claude Desktop 사용\n\nClaude Desktop에서 서버를 사용하려면 `claude_desktop_config.json` 파일에 서버를 추가하세요. `azure-cli-mcp.jar` 파일을 다운로드한 위치를 지정해야 합니다.\n\n```json\n{\n \"mcpServers\": {\n \"azure-cli\": {\n \"command\": \"java\",\n \"args\": [\n \"-jar\",\n \"~/Downloads/azure-cli-mcp.jar\"\n ]\n }\n }\n}\n```","Korean","ko-KR",{"_34":65,"_38":68,"_43":69},{"_36":66,"_38":39,"_40":67},"包装 Azure CLI 的 MCP 服务器。\n\n由于 LLM 非常擅长生成 Azure CLI 命令，因此该服务器允许您的 LLM 列出资源、更新/创建/删除它们、修复错误（通过查看日志）、修复安全问题……","# Azure CLI MCP 服务器\n\n这是一个包装[Azure CLI 的](https://learn.microsoft.com/en-us/cli/azure/)[MCP 服务器](https://modelcontextprotocol.io)，它添加了一个很好的提示来改善其工作方式，并将其公开。\n\n[![铁匠徽章](https://smithery.ai/badge/@jdubois/azure-cli-mcp)](https://smithery.ai/server/@jdubois/azure-cli-mcp)\n\n## 演示\n\n### Claude Desktop 的 2 分钟简短演示\n\n[![简短演示](https://img.youtube.com/vi/y_OexCcfhW0/0.jpg)](https://www.youtube.com/watch?v=y_OexCcfhW0)\n\n### 使用 VS Code 完成 18 分钟演示\n\n[![完整演示](https://img.youtube.com/vi/NZxTr32A9lY/0.jpg)](https://www.youtube.com/watch?v=NZxTr32A9lY)\n\n## 它能做什么？\n\n它可以访问完整的 Azure CLI，因此可以执行 Azure CLI 可以执行的任何操作。以下是一些场景：\n\n* 列出您的资源并检查其配置。例如，您可以获取部署到 Azure OpenAI 的模型的速率限制。\n* 修复一些配置或安全问题。例如，你可以要求它保护 Blob 存储帐户。\n* 创建资源。例如，您可以要求它创建一个 Azure 容器应用实例和一个 Azure 容器注册表，并使用托管标识将它们连接起来。\n\n## 使用安全吗？\n\n由于 MCP 服务器由 LLM 驱动，我们建议您谨慎操作并验证其生成的命令。如果您使用的是像 Claude 3.7 或 GPT-4o 这样的优秀 LLM，它们在 Azure 上拥有出色的训练数据，我们的体验非常好。\n\n请阅读我们的[许可证](LICENSE)，其中规定“该软件按原样提供，不提供任何形式的担保”，因此您自行承担使用此 MCP 服务器的风险。\n\n## 它安全吗？我应该在远程服务器上运行它吗？\n\n简短回答：**不**。\n\n此 MCP 服务器会为您运行`az`命令，但攻击者可能会入侵该服务器并运行任何其他命令。与目前大多数 MCP 服务器一样，当前的实现仅适用于`stio`传输：它应该在您的计算机上本地运行，使用您的 Azure CLI 凭据，就像您自己操作一样。\n\n未来，完全有可能让这个 MCP 服务器支持`http`传输和 Azure 令牌身份验证，以便不同的用户能够远程使用它。这是第二步，将在 MCP 规范和 SDK 更加稳定后完成。\n\n## 我该如何安装它？\n\n*该服务器可以在 Docker 容器内运行，也可以作为 Java 可执行 JAR 文件运行。*\n\n这两个选项目前仅支持`stio`传输。http `http`稍后将可用。\n\n### 使用 Docker 安装并配置服务器\n\n创建 Azure 服务主体并设置`AZURE_CREDENTIALS`环境变量。您可以通过在终端中运行以下命令来执行此操作：\n\n```bash\naz ad sp create-for-rbac --name \"azure-cli-mcp\" --role contributor --scopes /subscriptions//resourceGroups/ --json-auth\n```\n\n这将创建具有指定名称和角色的新服务主体，并以 JSON 格式输出凭据。\n\n然后，您可以使用以下命令使用 Docker 运行服务器。要进行身份验证，请使用上一个命令的输出设置`AZURE_CREDENTIALS` 。\n\n```bash\ndocker run --rm -p 6273:6273 -e AZURE_CREDENTIALS=\"{\"clientId\":\"....\",\"clientSecret\":\"....\",...}\" -i ghcr.io/jdubois/azure-cli-mcp:latest\n```\n\n#### 使用 VS Code\n\n要从 VS Code 使用服务器：\n\n* 安装 GitHub Copilot\n* 使用命令面板安装此 MCP 服务器： `MCP: Add Server...`\n\n * 该配置使用`stio`传输连接到服务器\n * 要运行的命令是`docker run -i --rm -e AZURE_CREDENTIALS ghcr.io/jdubois/azure-cli-mcp:latest` 。您需要将`AZURE_CREDENTIALS`环境变量设置为服务主体创建时的 JSON 输出，并将引号转义：请查看下面的完整且安全的示例。\n* 通过单击聊天窗口底部的箭头，将 GitHub Copilot 配置为在`Agent`模式下运行\n* 在聊天窗口顶部，您应该看到配置为工具的`azure-cli-mcp`服务器\n\n您可以使用[文档中](https://code.visualstudio.com/docs/copilot/chat/mcp-servers#_configuration-example)描述的方法保护`AZURE_CREDENTIALS`环境，这是一个完整的示例：\n\n```json\n{\n \"inputs\": [\n {\n \"type\": \"promptString\",\n \"id\": \"azure-credentials\",\n \"description\": \"Azure Credentials\",\n \"password\": true\n }\n ],\n \"servers\": {\n \"azure-cli\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AZURE_CREDENTIALS\",\n \"ghcr.io/jdubois/azure-cli-mcp:latest\"\n ],\n \"env\": {\n \"AZURE_CREDENTIALS\": \"${input:azure-credentials}\"\n }\n }\n }\n}\n```\n\n#### 使用 Claude Desktop\n\n要使用 Claude Desktop 中的服务器，请将其添加到`claude_desktop_config.json`文件中。AZURE\\_CREDENTIALS 环境变量应设置为服务主体创建`AZURE_CREDENTIALS`输出的 JSON 格式，并将引号转义。\n\n```json\n{\n \"mcpServers\": {\n \"azure-cli\": {\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"-e\",\n \"AZURE_CREDENTIALS\",\n \"ghcr.io/jdubois/azure-cli-mcp:latest\"\n ],\n \"env\": {\n \"AZURE_CREDENTIALS\": \"{\\\"clientId\\\":\\\"...\\\",\\\"clientSecret\\\":\\\"...\\\",...\"\n }\n }\n }\n}\n```\n\n### 使用 Smithery.ai 安装\n\n您可以通过 Smithery.ai 安装 MCP 服务器：\n\n[![铁匠徽章](https://smithery.ai/badge/@jdubois/azure-cli-mcp)](https://smithery.ai/server/@jdubois/azure-cli-mcp)\n\n这与我们上面的 Docker 容器安装类似，但在 Smithery.ai 的服务器上运行。虽然此安装最初最简单，但请注意：\n\n* 您将需要一个`AZURE_CREDENTIALS`密钥，如下面 Docker 安装部分所述，该密钥将被发送到 Smithery.ai。\n* Smithery.ai 是第三方服务，您需要信任他们为您构建此 MCP 服务器（它使用与我们的 Docker 镜像相同的 Dockerfile，但不是由我们构建的）。\n* 这仍然是一个早期预览服务，因此我们无法保证它将如何发展。\n\n### 使用 Java 安装和配置服务器\n\n此配置在本地运行服务器。与使用 Docker 相比，它的设置更容易，但安全性较低，因为它会直接使用计算机上配置的 Azure CLI 中的凭据。\n\n* 安装 Azure CLI：您可以按照[此处的](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli)说明进行操作。\n* 对你的 Azure 帐户进行身份验证。你可以在终端中运行`az login`来执行此操作。\n* 确保已安装 Java 17 或更高版本。您可以在终端中运行`java -version`来检查。\n\n二进制文件可在[GitHub 发布页面](https://github.com/jdubois/azure-cli-mcp/releases)上找到，下面是使用 GitHub CLI 下载最新版本的方法：\n\n* 下载最新版本： `gh release download --repo jdubois/azure-cli-mcp --pattern='azure-cli-mcp.jar'`\n\n#### 使用 VS Code\n\n* 安装 GitHub Copilot\n* 使用命令面板安装此 MCP 服务器： `MCP: Add Server...`\n\n * 该配置使用`stio`传输连接到服务器\n * 运行的命令是`java -jar ~/Downloads/azure-cli-mcp.jar` （您需要指向下载`azure-cli-mcp.jar`文件的位置）\n* 通过单击聊天窗口底部的箭头，将 GitHub Copilot 配置为在`Agent`模式下运行\n* 在聊天窗口顶部，您应该看到配置为工具的`azure-cli-mcp`服务器\n\n#### 使用 Claude Desktop\n\n要使用 Claude Desktop 中的服务器，请将其添加到`claude_desktop_config.json`文件中。请注意，您需要指向下载`azure-cli-mcp.jar`文件的位置。\n\n```json\n{\n \"mcpServers\": {\n \"azure-cli\": {\n \"command\": \"java\",\n \"args\": [\n \"-jar\",\n \"~/Downloads/azure-cli-mcp.jar\"\n ]\n }\n }\n}\n```","Chinese","zh-CN","githubUser","locale",{"_73":74,"_20":75,"_82":37,"_83":37,"_23":84,"_85":86,"_38":39,"_104":105,"_112":-5,"_113":-5,"_114":115,"_158":159,"_164":-5,"_93":139,"_165":143,"_8":166,"_167":168},"addedAt","2025-03-31T15:49:50.286179Z",[76,77,78,79,80,81],"category:cloud-platforms","category:shell-access","environment:local","hosting:local-only","language:java","license_grade:a","descriptionMarkdown","descriptionPlainText",4723,"integrations",[87,97],{"_88":89,"_36":95,"_8":96},"brand",{"_90":91,"_38":92,"_93":94},"logoSvgPath","M23.922 16.997C23.061 18.492 18.063 22.02 12 22.02 5.937 22.02.939 18.492.078 16.997A.641.641 0 0 1 0 16.741v-2.869a.883.883 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.098 10.098 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952C7.255 2.937 9.248 1.98 11.978 1.98c2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 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0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 2.344-.938.475-.584.742-1.44.878-2.497Z","GitHub Copilot","slug","github-copilot","Integrates with GitHub Copilot in VS Code, allowing you to deploy projects to Azure using natural language commands in the Copilot chat interface","fidcktjgct",{"_88":98,"_36":102,"_8":103},{"_90":99,"_38":100,"_93":101},"M22.2819 9.8211a5.9847 5.9847 0 0 0-.5157-4.9108 6.0462 6.0462 0 0 0-6.5098-2.9A6.0651 6.0651 0 0 0 4.9807 4.1818a5.9847 5.9847 0 0 0-3.9977 2.9 6.0462 6.0462 0 0 0 .7427 7.0966 5.98 5.98 0 0 0 .511 4.9107 6.051 6.051 0 0 0 6.5146 2.9001A5.9847 5.9847 0 0 0 13.2599 24a6.0557 6.0557 0 0 0 5.7718-4.2058 5.9894 5.9894 0 0 0 3.9977-2.9001 6.0557 6.0557 0 0 0-.7475-7.0729zm-9.022 12.6081a4.4755 4.4755 0 0 1-2.8764-1.0408l.1419-.0804 4.7783-2.7582a.7948.7948 0 0 0 .3927-.6813v-6.7369l2.02 1.1686a.071.071 0 0 1 .038.052v5.5826a4.504 4.504 0 0 1-4.4945 4.4944zm-9.6607-4.1254a4.4708 4.4708 0 0 1-.5346-3.0137l.142.0852 4.783 2.7582a.7712.7712 0 0 0 .7806 0l5.8428-3.3685v2.3324a.0804.0804 0 0 1-.0332.0615L9.74 19.9502a4.4992 4.4992 0 0 1-6.1408-1.6464zM2.3408 7.8956a4.485 4.485 0 0 1 2.3655-1.9728V11.6a.7664.7664 0 0 0 .3879.6765l5.8144 3.3543-2.0201 1.1685a.0757.0757 0 0 1-.071 0l-4.8303-2.7865A4.504 4.504 0 0 1 2.3408 7.872zm16.5963 3.8558L13.1038 8.364 15.1192 7.2a.0757.0757 0 0 1 .071 0l4.8303 2.7913a4.4944 4.4944 0 0 1-.6765 8.1042v-5.6772a.79.79 0 0 0-.407-.667zm2.0107-3.0231l-.142-.0852-4.7735-2.7818a.7759.7759 0 0 0-.7854 0L9.409 9.2297V6.8974a.0662.0662 0 0 1 .0284-.0615l4.8303-2.7866a4.4992 4.4992 0 0 1 6.6802 4.66zM8.3065 12.863l-2.02-1.1638a.0804.0804 0 0 1-.038-.0567V6.0742a4.4992 4.4992 0 0 1 7.3757-3.4537l-.142.0805L8.704 5.459a.7948.7948 0 0 0-.3927.6813zm1.0976-2.3654l2.602-1.4998 2.6069 1.4998v2.9994l-2.5974 1.4997-2.6067-1.4997Z","OpenAI","openai","Enables management of Azure OpenAI resources, including checking rate limits of deployed models and other configurations","ae8m2mfmci","namespace",{"_106":107,"_93":111},"owner",{"_108":109},"githubAccount",{"_110":111},"login","jdubois","readmeMarkdown","redditPostExternalId","repository",{"_116":117,"_123":124,"_128":129,"_149":-5,"_150":151,"_152":-5,"_153":154},"argumentsJsonSchema",{"_118":119,"_120":121,"_12":122},"properties",{},"required",[],"object","githubProject",{"_40":125,"_126":127},"# Azure CLI MCP Server\n\nThe Azure CLI MCP Server is an [MCP Server](https://modelcontextprotocol.io) that wraps the [Azure CLI](https://learn.microsoft.com/en-us/cli/azure/), adds a nice prompt to improve how it works, and exposes it.\n\n> [!IMPORTANT]\n> The @Azure organization offers an official Azure MCP server, which uses the code from this Azure CLI MCP server. As it's an official server, maintained by Microsoft, we recommend to use it unless you have specific resource contraints (the Azure CLI MCP Server uses less resources as it does less, and as it can be packaged with GraalVM), or if you're a Java developer and want to tweak the prompts. You can find more details at its [Getting started documentation](https://learn.microsoft.com/en-us/azure/developer/azure-mcp-server/get-started) or at the [Azure MCP Server repository](https://github.com/Azure/azure-mcp).\n\n## Demos\n\n### Short 2-minute demo with Claude Desktop\n\n[![Short Demo](https://img.youtube.com/vi/y_OexCcfhW0/0.jpg)](https://www.youtube.com/watch?v=y_OexCcfhW0)\n\n### Complete 18-minute demo with VS Code\n\n[![Complete Demo](https://img.youtube.com/vi/NZxTr32A9lY/0.jpg)](https://www.youtube.com/watch?v=NZxTr32A9lY)\n\n## What can it do?\n\nIt has access to the full Azure CLI, so it can do anything the Azure CLI can do. Here are a few scenarios:\n\n- Listing your resources and checking their configuration. For example, you can get the rate limits of a model deployed\n to Azure OpenAI.\n- Fixing some configuration or security issues. For example, you can ask it to secure a Blob Storage account.\n- Creating resources. For example, you can ask it to create an Azure Container Apps instance, an Azure Container Registry, and connect them using managed identity.\n\n## Is it safe to use?\n\nAs the MCP server is driven by an LLM, we would recommend to be careful and validate the commands it generates. Then, if\nyou're using a good LLM like Claude 4 or GPT-4o, which has\nexcellent training data on Azure, our experience has been very good.\n\nPlease read our [License](LICENSE) which states that \"THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND\",\nso you use this MCP server at your own risk.\n\n## Is it secured, and should I run this on a remote server?\n\nShort answer: **NO**.\n\nThis MCP server runs `az` commands for you, and could be hacked by an attacker to run any other command. It's supposed\nto run locally on your machine,\nusing your Azure CLI credentials, as you would do by yourself.\n\nThis server uses the `http` transport, and an Azure token authentication, so that it could be used remotely by different\npersons. It's probably not a good idea to do this, as it would expose your Azure resources to the internet.\n\n## How do I install it?\n\n_This server can run inside a Docker container or as a Java executable JAR file._\n\nBy default, the server runs on port `8085`, and this can be configured using the usual Spring Boot configuration options\nfor configuring the server port (for example, using the `SERVER_PORT=8085` environment variable).\n\n### Install and configure the server with Docker\n\nCreate an Azure Service Principal and set the `AZURE_CREDENTIALS` environment variable. You can do this by running the\nfollowing command in your terminal:\n\n```bash\naz ad sp create-for-rbac --name \"azure-cli-mcp\" --role contributor --scopes /subscriptions//resourceGroups/ --json-auth\n```\n\nThis will create a new Service Principal with the specified name and role, and output the credentials in JSON format.\n\nYou can then run the server using Docker with the following command. To authenticate, set the `AZURE_CREDENTIALS` with\nthe output of the previous command.\n\n```bash\ndocker run --rm -p 8085:8085 -e AZURE_CREDENTIALS=\"{\"clientId\":\"....\",\"clientSecret\":\"....\",...}\" -it ghcr.io/jdubois/azure-cli-mcp:latest\n```\n\n### Install and configure the server with Java\n\nThis configuration is running the server locally. It's easier to set up than with Docker,\nbut it's less secured as it uses directly your credentials using the Azure CLI configured on your machine.\n\n- Install the Azure CLI: you can do this by following the\n instructions [here](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli).\n- Authenticate to your Azure account. You can do this by running `az login` in your terminal.\n- Make sure you have Java 17 or higher installed. 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MCP directory API