Merge pull request #7265 from MicrosoftDocs/repo_sync_working_branch

Confirm merge from repo_sync_working_branch to main to sync with https://github.com/MicrosoftDocs/azure-ai-docs (branch main)

Author: Taojunshen

articles/ai-foundry/agents/how-to/tools/model-context-protocol.md

@@ -17,6 +17,9 @@ ms.custom: references_regions
 > [!NOTE]
 > Supported regions are `westus`, `westus2`, `uaenorth`, `southindia`, and `switzerlandnorth`.
 
+> [!NOTE]
+> When using a [Network Secured Azure AI Foundry](../../how-to/virtual-networks.md), private MCP servers deployed in the same virtual network is not supported, only publicly accessible MCP servers are supported.
+
 You can extend the capabilities of your Azure AI Foundry agent by connecting it to tools hosted on remote [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) servers (bring your own MCP server endpoint). Developers and organizations maintain these servers. The servers expose tools that MCP-compatible clients, such as Azure AI Foundry Agent Service, can access.
 
 MCP is an open standard that defines how applications provide tools and contextual data to large language models (LLMs). It enables consistent, scalable integration of external tools into model workflows.

articles/ai-foundry/agents/how-to/virtual-networks.md

@@ -42,6 +42,7 @@ For customers without an existing virtual network, the Standard Setup with Priva
 - **Region availability**:
   - For supported regions for model deployments, see: [Azure OpenAI model region support](../concepts/model-region-support.md#available-models).
 - **Azure Blob Storage**: using Azure Blob Storage files with the File Search tool isn't supported.
+- **Private MCP Server**: using private MCP servers deployed in the same virtual network is not supported, only publicly accessible MCP servers are supported.
 
 ## Prerequisites
 * An Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services).