add links

Author: cephalin

articles/app-service/overview-ai-integration.md

@@ -29,6 +29,9 @@ Build AI-powered .NET applications with these tutorials:
 
 - [Build a chatbot with Azure OpenAI (Blazor)](tutorial-ai-openai-chatbot-dotnet.md) - Create a Blazor web app that connects to Azure OpenAI to generate TLDR summaries using Semantic Kernel.
 - [Build a RAG application with Azure OpenAI and Azure AI Search (.NET)](tutorial-ai-openai-search-dotnet.md) - Implement RAG to enable your AI models to access and use your organization's data.
+- [Integrate an App Service app as an MCP Server for GitHub Copilot Chat (.NET)](tutorial-ai-model-context-protocol-server-dotnet.md)
+- [Add an App Service app as a OpenAPI tool in Azure AI Foundry Agent Service (.NET)](tutorial-ai-integrate-azure-ai-agent-openapi-dotnet.md)
+- [Tutorial: Build an agentic web app in Azure App Service with Microsoft Semantic Kernel or Azure AI Foundry Agent Service (.NET)](tutorial-ai-agentic-web-app-semantic-kernel-foundry.md)
 - [Build a RAG application with Azure OpenAI and Azure SQL](deploy-intelligent-apps-dotnet-to-azure-sql.md) - Use Azure SQL as a vector database for RAG applications.
 - [Run a chatbot with a local SLM sidecar extension](tutorial-ai-slm-dotnet.md) - Deploy a chatbot that uses a local SLM without requiring an external AI service.
 - [Invoke OpenAPI web app from Azure AI Agent](invoke-openapi-web-app-from-azure-ai-agent-service.md) - Make your web API available to AI agents.

articles/app-service/toc.yml

@@ -67,6 +67,8 @@ items:
           href: tutorial-ai-model-context-protocol-server-dotnet.md
         - name: Chatbot with local SLM
           href: tutorial-ai-slm-dotnet.md
+        - name: Agentic web app (.NET)
+          href: tutorial-ai-agentic-web-app-semantic-kernel-foundry.md
 
   - name: Java
     items:
@@ -578,7 +580,7 @@ items:
     - name: Routine maintenance, Restarts, and Downtime
       href: routine-maintenance-downtime.md
     - name: Language support policy
-      href: language-support-policy.md
+      href: operating-system-functionality.md
     - name: OS functionality
       href: operating-system-functionality.md
     - name: Kudu service

articles/app-service/tutorial-ai-integrate-azure-ai-agent-openapi-dotnet.md

@@ -193,6 +193,15 @@ At a minimum, open the [sample application](https://github.com/Azure-Samples/msd
     
     :::image type="content" source="media/tutorial-ai-integrate-azure-ai-agent-openapi-dotnet/agents-playground.png" alt-text="Screenshot showing the agents playground in the middle of a conversation that takes actions by using the OpenAPI tool.":::
 
+## Next step
+
+You've now enabled your App Service app to be used as a tool by Azure AI Foundry Agent Service and interact with your app's APIs through natural language in the agents playground. From here, you can continue add features to your agent in the Foundry portal, integrate it into your own applications using the Azure AI Foundry SDK or REST API, or deploy it as part of a larger solution. Agents created in Azure AI Foundry can be run in the cloud, integrated into chatbots, or embedded in web and mobile apps.
+
+To take the next step and learn how to run your agent directly within Azure App Service, see the following tutorial:
+
+> [!div class="nextstepaction"]
+> [Tutorial: Build an agentic web app in Azure App Service with Microsoft Semantic Kernel or Azure AI Foundry Agent Service (.NET)](tutorial-ai-agentic-web-app-semantic-kernel-foundry.md)
+
 ## More resources
 
 [Integrate AI into your Azure App Service applications](overview-ai-integration.md)