Merging changes synced from https://github.com/MicrosoftDocs/azure-dev-docs-pr (branch live)

Author: Learn Build Service GitHub App

articles/azure-mcp-server/TOC.yml

@@ -38,6 +38,8 @@ items:
           href: tools/azure-best-practices.md
         - name: Azure Bicep schema
           href: tools/azure-bicep-schema.md
+        - name: Azure Cloud Architect
+          href: tools/azure-cloud-architect.md
         - name: Azure Redis
           href: tools/azure-cache-for-redis.md          
         - name: Azure CLI
@@ -48,6 +50,8 @@ items:
           href: tools/cosmos-db.md
         - name: Azure Data Explorer
           href: tools/azure-data-explorer.md
+        - name: Azure Database for MySQL
+          href: tools/azure-mysql.md
         - name: Azure DB for PostgreSQL
           href: tools/postgresql.md
         - name: Azure Deploy
@@ -60,7 +64,9 @@ items:
           href: tools/azure-foundry.md
         - name: Azure Managed Grafana
           href: tools/azure-grafana.md
-        - name: Azure Key Vault 
+        - name: Azure Managed Lustre
+          href: tools/azure-managed-lustre.md
+        - name: Azure Key Vault
           href: tools/key-vault-key.md
         - name: Azure Kubernetes Service
           href: tools/azure-aks.md

articles/azure-mcp-server/includes/tools/supported-azure-services.md

@@ -3,7 +3,7 @@
  ms.author: diberry
  ms.service: azure-mcp-server
  ms.topic: include
- ms.date: 08/12/2025
+ ms.date: 08/26/2025
 ---
 
 ## Available tools
@@ -18,15 +18,18 @@ Azure MCP Server provides the following tools for Azure services and Azure-relat
 | [Azure best practices](../../tools/azure-best-practices.md) | Get guidance on Azure Functions development, deployment, and Azure SDK usage. |
 | [Azure Redis](../../tools/azure-cache-for-redis.md) | Manage Azure Redis instances, Redis clusters, and access policies. |
 | [Azure CLI](../../tools/azure-cli-extension.md) | Execute Azure CLI commands within the MCP server. |
+| [Azure Cloud Architect](../../tools/azure-cloud-architect.md) | Design cloud systems by gathering requirements through guided questions and recommending optimal solutions. |
 | [Azure Container Registry](../../tools/azure-container-registry.md) | List Azure Container Registry instances. |
 | [Azure Cosmos DB](../../tools/cosmos-db.md) | Work with Azure Cosmos DB accounts, databases, containers, and documents. |
 | [Azure Data Explorer](../../tools/azure-data-explorer.md) | Work with Azure Data Explorer clusters, databases, tables, and queries. |
+| [Azure Database for MySQL](../../tools/azure-mysql.md) | Manage Azure Database for MySQL servers, databases, and tables. |
 | [Azure Database for PostgreSQL](../../tools/postgresql.md) | Manage Azure Database for PostgreSQL servers, databases, and tables.  |
 | [Azure Deploy](../../tools/azure-deploy.md) | Deploy and manage Azure resources using templates and scripts. |
 | [Azure Developer CLI](../../tools/azure-developer-cli.md) | Execute Azure Developer CLI commands for application development and deployment. |
 | [Azure Functions](../../tools/azure-functions.md) | List Azure Functions. |
 | [Azure Foundry](../../tools/azure-foundry.md) | Work with Azure AI Foundry models, deployments, and endpoints. |
 | [Azure Managed Grafana](../../tools/azure-grafana.md) | List Azure Managed Grafana workspaces.|
+| [Azure Managed Lustre](../../tools/azure-managed-lustre.md) | Manage Azure Managed Lustre file systems. |
 | [Azure Key Vault](../../tools/key-vault-key.md) | List and create keys, secrets, certificates in Azure Key Vault. |
 | [Azure Kubernetes Service](../../tools/azure-aks.md) | List Azure Kubernetes Service clusters. |
 | [Azure Load Testing](../../tools/azure-load-testing.md) | Create, run, and see load testing. |

articles/azure-mcp-server/tools/azure-cloud-architect.md

@@ -0,0 +1,39 @@
+---
+title: Azure Cloud Architect - Azure MCP Server
+description: Learn how to use the Azure MCP Server with Azure Cloud Architect to design cloud system by gathering requirements through guided questions and recommending optimal solutions.
+keywords: azure mcp server, azmcp, azure cloud architect, cloud, architecture
+ai-usage: ai-assisted
+content_well_notification: 
+  - AI-contribution
+author: diberry
+ms.author: diberry
+ms.service: azure-mcp-server
+ms.topic: reference
+ms.date: 08/26/2025
+---
+
+# Azure Cloud Architect design tools for the Azure MCP Server
+
+The Azure MCP Server lets you manage Azure resources, including Azure Cloud Architect services, by using natural language prompts. This feature helps you quickly gather requirements and get architecture recommendations without having to remember complex syntax.
+
+[!INCLUDE [tip-about-params](../includes/tools/parameter-consideration.md)]
+
+## Design
+
+This operation gathers requirements through guided questions and recommends optimal solutions.
+
+Example prompts include:
+
+- **Design large-scale file storage**: "Please help me design an architecture for a large-scale file upload, storage, and retrieval service."
+- **Design ATM cloud service**: "Help me create a cloud service that will serve as an ATM for users."
+- **Design grocery ordering app**: "I want to design a cloud app for ordering groceries."
+
+| Parameter |  Required or optional | Description |
+|-----------------------|----------------------|-------------|
+| **Question** |  Optional | The current question being asked |
+| **Question number** |  Optional | Current question number |
+| **Total questions** |  Optional | Estimated total questions needed |
+| **Answer** |  Optional | The user's response to the question |
+| **Next question needed** |  Optional | Whether another question is needed |
+| **Confidence score** |  Optional | A value between 0.0 and 1.0 representing confidence in understanding requirements. When this reaches 0.7 or higher, set `nextQuestionNeeded` to false. |
+| **State** |  Optional | The complete architecture state from the previous request. |

articles/azure-mcp-server/tools/azure-foundry.md

@@ -4,7 +4,7 @@ description: Learn how to use the Azure MCP Server with Azure AI Foundry to mana
 keywords: azure mcp server, azmcp, azure ai foundry, ai models, model deployment
 ms.service: azure-mcp-server
 ms.topic: reference
-ms.date: 07/24/2025
+ms.date: 08/26/2025
 content_well_notification: 
   - AI-contribution
 ai-usage: ai-assisted
@@ -18,11 +18,32 @@ The Azure MCP Server enables you to manage Azure resources, including Azure AI F
 
 [!INCLUDE [tip-about-params](../includes/tools/parameter-consideration.md)]
 
-## List available models
+## Knowledge: index list
+
+Get a list of knowledge indexes from Azure AI Foundry:
+
+- Get list of knowledge indexes specifically created within Azure AI Foundry projects.
+- Use these indexes with AI agents for knowledge retrieval and RAG applications.
+- The list changes as new indexes are created or existing ones are updated.
+
+Example prompts include: 
+
+- **View all indexes**: "Show me all knowledge indexes in Azure AI Foundry"
+- **Filter by project**: "List knowledge indexes in the 'support-bot' project"
+- **Search by name**: "Find the knowledge index named 'product-faqs'"
+- **Filter by tag**: "List knowledge indexes tagged with 'security' or 'onboarding'"
+- **Show index details**: "Show details for the 'customer-service' knowledge index, including document count and last updated date"
+
+| Parameter |  Required or optional | Description |
+|-----------------------|----------------------|-------------|
+| **Endpoint** |  Required | The endpoint URL for the Azure AI service. |
+    
+
+## Models: List available models
 
 <!-- azmcp foundry models list -->
 
-Lists all available AI models in Azure AI Foundry. Use this command to view all models that you can deploy or use in your Azure environment.
+Lists all available AI models in Azure AI Foundry.
 
 Example prompts include:
 
@@ -35,12 +56,12 @@ Example prompts include:
 
 | Parameter | Required or optional | Description |
 |-----------|-------------|-------------|
-| **Search for free playground** | Optional | If set to true, returns a list of models from Azure AI Foundry that can also be used with GitHub inference endpoint and GitHub PAT token. If false, returns a list of models from Azure AI Foundry, regardless of GitHub support. To learn more, see [GitHub Models](https://docs.github.com/en/github-models/use-github-models/prototyping-with-ai-models#experimenting-with-ai-models-in-the-playground).|
+| **Search for free playground** | Optional | If set to true, returns a list of models from Azure AI Foundry that you can also use with GitHub inference endpoint and GitHub PAT token. If false, returns a list of models from Azure AI Foundry, regardless of GitHub support. To learn more, see [GitHub Models](https://docs.github.com/en/github-models/use-github-models/prototyping-with-ai-models#experimenting-with-ai-models-in-the-playground).|
 | **Publisher** | Optional | A filter to specify the publisher of the models to retrieve. |
 | **License** | Optional | A filter to specify the license type of the models to retrieve. |
 | **Model** | Optional | The name of the model to search for. |
 
-## Deploy a model
+## Models: Deploy a model
 
 <!-- azmcp foundry models deploy -->
 
@@ -68,7 +89,7 @@ Example prompts include:
 | **SKU** | Optional | The SKU name for the deployment |
 | **SKU capacity** | Optional | The SKU capacity for the deployment |
 
-## List model deployments
+## Models: List model deployments
 
 <!-- azmcp foundry models deployments list -->
 

articles/azure-mcp-server/tools/azure-functions.md

@@ -4,7 +4,7 @@ description: Learn how to use the Azure MCP Server to manage your function app r
 keywords: azure mcp server, azmcp, function apps
 author: diberry
 ms.author: diberry
-ms.date: 08/15/2025
+ms.date: 08/26/2025
 content_well_notification: 
   - AI-contribution
 ai-usage: ai-assisted
@@ -14,9 +14,27 @@ ms.custom: build-2025
 
 # Azure Functions tools for the Azure MCP Server
 
-The Azure MCP Server allows you to manage Azure resources, including function apps, using natural language prompts. This allows you to quickly list your apps without remembering complex syntax.
+The Azure MCP Server enables you to manage Azure resources, including function apps, by using natural language prompts. With this approach, you can quickly list your apps without needing to remember complex syntax.
+
+[Azure Functions](/azure/azure-functions/) is a serverless compute service that enables you to integrate code execution into your Azure services with less code and by using popular development tools. Instead of worrying about deploying and maintaining servers, you can spend time developing your applications.
+
+## Get
+
+Get the Azure function app details.
+
+
+Example prompts include:
+
+- **Get function app details**: "Get details for my function app 'my-function-app' in resource group 'my-resource-group'."
+- **Get specific function app**: "Show me the function app 'my-function-app' in resource group 'my-resource-group'."
+- **Get function app settings**: "Show the settings for function app 'my-function-app' in resource group 'my-resource-group'."
+- **Get function app status**: "Get the current status of function app 'my-function-app' in resource group 'my-resource-group'."
+- **Get function app hostnames**: "List the hostnames for function app 'my-function-app' in resource group 'my-resource-group'."
+
+| Parameter |  Required or optional | Description |
+|-----------------------|----------------------|-------------|
+| **Function app** |  Required | The name of the function app. |
 
-[Azure Functions](/azure/azure-functions/) is a serverless compute service that enables you to integrate code execution into your Azure services with less code and using popular development tools. Instead of worrying about deploying and maintaining servers, you can spend time developing your applications.
 
 ## List
 

articles/azure-mcp-server/tools/azure-managed-lustre.md

@@ -0,0 +1,46 @@
+---
+title: Azure Managed Lustre Tools for Azure MCP Server
+description: Learn how to use Azure MCP Server tools with Azure Managed Lustre to manage and analyze scalable Lustre file systems. 
+keywords: azure mcp server, azmcp, azure managed lustre, lustre file systems
+ai-usage: ai-assisted
+content_well_notification: 
+  - AI-contribution
+author: diberry
+ms.author: diberry
+ms.service: azure-mcp-server
+ms.topic: reference
+ms.date: 08/26/2025
+---
+
+# Azure Managed Lustre tools for Azure MCP Server
+
+Azure MCP Server enables you to manage Azure resources, including Azure Managed Lustre services, using natural language prompts. Learn how to optimize HPC workloads with scalable Lustre file systems.
+
+[Azure Managed Lustre](/azure/azure-managed-lustre/amlfs-overview) is a managed file system that offers scalable, powerful, cost-effective storage for high-performance computing (HPC) workloads. It's built on the popular open-source Lustre file system and is optimized for performance, scalability, and ease of use in Azure.
+
+[!INCLUDE [tip-about-params](../includes/tools/parameter-consideration.md)]
+
+## File system: List file systems
+
+Get an inventory of Azure Managed Lustre file systems and check their properties.
+
+Example prompts include:
+
+- **List all file systems**: "List all Azure Managed Lustre file systems."
+- **Show file system details**: "Get details for my file system 'my-lustre-fs'."
+- **Check file system status**: "What is the status of my file system 'my-lustre-fs'?"
+- **Filter by resource group**: "List Azure Managed Lustre file systems in resource group 'bigdata-rg'."
+- **Filter by size**: "Show file systems larger than 100 TiB."
+
+## File system: Calculate required subnet size
+
+Calculates the required subnet size for an Azure Managed Lustre file system, given a SKU and size. Use this calculation to plan network deployment for AMLFS.
+
+Example prompts include:
+
+- **Get required subnet size**: "What is the required subnet size for my file system 'my-lustre-fs' with SKU 'AMLFS-Durable-Premium-125' and size 100 TiB?"
+
+| Parameter |  Required or optional | Description |
+|-----------------------|----------------------|-------------|
+| **SKU** |  Required | The AMLFS SKU. Allowed values: AMLFS-Durable-Premium-40, AMLFS-Durable-Premium-125, AMLFS-Durable-Premium-250, AMLFS-Durable-Premium-500. |
+| **Size** |  Required | The AMLFS size (TiB). |