Foundry renaming (#1211)

* Renaming AI foundry to Microsoft foundry

* to address review feedback

* Update docs/bug-bash/scenarios/agent-building.md

Co-authored-by: Alan Zimmer <[email protected]>

* updates

* update

* updates

---------

Co-authored-by: Alan Zimmer <[email protected]>

Author: xiangyan99

README.md

@@ -46,12 +46,12 @@ This repository contains core libraries, test frameworks, engineering systems, p
 - **TYPE**: `Local`
 - **INSTALL**: [![Install Azure MCP in VS Code](https://img.shields.io/badge/VS_Code-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://vscode.dev/redirect?url=vscode:extension/ms-azuretools.vscode-azure-mcp-server) [![Install Azure MCP in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://vscode.dev/redirect?url=vscode-insiders:extension/ms-azuretools.vscode-azure-mcp-server) [![Install Azure MCP in Visual Studio](https://img.shields.io/badge/Visual_Studio-C16FDE?style=flat-square&logo=visualstudio&logoColor=white)](https://marketplace.visualstudio.com/items?itemName=github-copilot-azure.GitHubCopilotForAzure2022) [![Install Azure MCP in IntelliJ](https://img.shields.io/badge/IntelliJ%20IDEA-1495b1?style=flat-square&logo=intellijidea&logoColor=white)](https://plugins.jetbrains.com/plugin/8053) [![Install Azure MCP in Eclipse](https://img.shields.io/badge/Eclipse-b6ae1d?style=flat-square&logo=eclipse&logoColor=white)](https://marketplace.eclipse.org/content/azure-toolkit-eclipse)
 
-### ✨ Azure AI Foundry
+### ✨ Microsoft Foundry
 - **REPOSITORY**: [azure-ai-foundry/mcp-foundry](https://github.com/azure-ai-foundry/mcp-foundry)
-- **DESCRIPTION**: A Model Context Protocol server for Azure AI Foundry, providing a unified set of tools for models, knowledge, evaluation, and more.
+- **DESCRIPTION**: A Model Context Protocol server for Microsoft Foundry, providing a unified set of tools for models, knowledge, evaluation, and more.
 - **CATEGORY**: `CLOUD AND INFRASTRUCTURE`
 - **TYPE**: `Local`
-- **INSTALL**: [![Install Azure AI Foundry MCP in VS Code](https://img.shields.io/badge/VS_Code-0098FF?style=flat-square&logo=visualstudiocode&logoColor=ffffff)](https://vscode.dev/redirect?url=vscode:mcp/install?%7B%22name%22%3A%22ai_foundry_server%22%2C%22type%22%3A%22stdio%22%2C%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22--prerelease%3Dallow%22%2C%22--from%22%2C%22git%2Bhttps%3A%2F%2Fgithub.com%2Fazure-ai-foundry%2Fmcp-foundry.git%22%2C%22run-azure-ai-foundry-mcp%22%2C%22--envFile%22%2C%22%24%7BworkspaceFolder%7D%2F.env%22%5D%7D) [![Install Azure AI Foundry in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=ffffff)](https://vscode.dev/redirect?url=vscode-insiders:mcp/install?%7B%22name%22%3A%22ai_foundry_server%22%2C%22type%22%3A%22stdio%22%2C%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22--prerelease%3Dallow%22%2C%22--from%22%2C%22git%2Bhttps%3A%2F%2Fgithub.com%2Fazure-ai-foundry%2Fmcp-foundry.git%22%2C%22run-azure-ai-foundry-mcp%22%2C%22--envFile%22%2C%22%24%7BworkspaceFolder%7D%2F.env%22%5D%7D) [![Install Azure AI Foundry in Visual Studio](https://img.shields.io/badge/Visual_Studio-C16FDE?style=flat-square&logo=visualstudio&logoColor=white)](https://aka.ms/vs/mcp-install?%7B%22name%22%3A%22ai_foundry_server%22%2C%22type%22%3A%22stdio%22%2C%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22--prerelease%3Dallow%22%2C%22--from%22%2C%22git%2Bhttps%3A%2F%2Fgithub.com%2Fazure-ai-foundry%2Fmcp-foundry.git%22%2C%22run-azure-ai-foundry-mcp%22%2C%22--envFile%22%2C%22%24%7BworkspaceFolder%7D%2F.env%22%5D%7D)
+- **INSTALL**: [![Install Microsoft Foundry MCP in VS Code](https://img.shields.io/badge/VS_Code-0098FF?style=flat-square&logo=visualstudiocode&logoColor=ffffff)](https://vscode.dev/redirect?url=vscode:mcp/install?%7B%22name%22%3A%22ai_foundry_server%22%2C%22type%22%3A%22stdio%22%2C%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22--prerelease%3Dallow%22%2C%22--from%22%2C%22git%2Bhttps%3A%2F%2Fgithub.com%2Fazure-ai-foundry%2Fmcp-foundry.git%22%2C%22run-azure-ai-foundry-mcp%22%2C%22--envFile%22%2C%22%24%7BworkspaceFolder%7D%2F.env%22%5D%7D) [![Install Microsoft Foundry in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=ffffff)](https://vscode.dev/redirect?url=vscode-insiders:mcp/install?%7B%22name%22%3A%22ai_foundry_server%22%2C%22type%22%3A%22stdio%22%2C%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22--prerelease%3Dallow%22%2C%22--from%22%2C%22git%2Bhttps%3A%2F%2Fgithub.com%2Fazure-ai-foundry%2Fmcp-foundry.git%22%2C%22run-azure-ai-foundry-mcp%22%2C%22--envFile%22%2C%22%24%7BworkspaceFolder%7D%2F.env%22%5D%7D) [![Install Microsoft Foundry in Visual Studio](https://img.shields.io/badge/Visual_Studio-C16FDE?style=flat-square&logo=visualstudio&logoColor=white)](https://aka.ms/vs/mcp-install?%7B%22name%22%3A%22ai_foundry_server%22%2C%22type%22%3A%22stdio%22%2C%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22--prerelease%3Dallow%22%2C%22--from%22%2C%22git%2Bhttps%3A%2F%2Fgithub.com%2Fazure-ai-foundry%2Fmcp-foundry.git%22%2C%22run-azure-ai-foundry-mcp%22%2C%22--envFile%22%2C%22%24%7BworkspaceFolder%7D%2F.env%22%5D%7D)
 
 ### <img height="18" width="18" src="https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/1062064-Products-1.2-24x24" alt="Microsoft Azure DevOps Logo" /> Azure DevOps
 - **REPOSITORY**: [Azure DevOps MCP Server - Public Preview](https://github.com/microsoft/azure-devops-mcp)

core/Azure.Mcp.Core/src/Areas/Server/Resources/consolidated-tools.json

@@ -444,7 +444,7 @@
     },
     {
       "name": "deploy_azure_ai_models",
-      "description": "Deploy AI models to Azure AI Foundry for machine learning inference and production use.",
+      "description": "Deploy AI models to Microsoft Foundry for machine learning inference and production use.",
       "toolMetadata": {
         "destructive": {
           "value": true,
@@ -982,7 +982,7 @@
     },
     {
       "name": "get_azure_best_practices",
-      "description": "Retrieve Azure best practices and infrastructure schema for code generation, deployment, and operations. Covers general Azure practices, Azure Functions best practices, AI app development best practices, Terraform configurations, Bicep template schemas, deployment best practices and AI Foundry sdk code samples.",
+      "description": "Retrieve Azure best practices and infrastructure schema for code generation, deployment, and operations. Covers general Azure practices, Azure Functions best practices, AI app development best practices, Terraform configurations, Bicep template schemas, deployment best practices and Microsoft Foundry sdk code samples.",
       "toolMetadata": {
         "destructive": {
           "value": false,
@@ -1157,7 +1157,7 @@
     },
     {
       "name": "get_azure_ai_resources_details",
-      "description": "Get details about Azure AI resources including listing and querying AI Search services, listing models available to be deployed and models deployed already, knowledge index schema by AI Foundry, knowledge base and source information, and listing AI Foundry , threads, messages and resources.",
+      "description": "Get details about Azure AI resources including listing and querying AI Search services, listing models available to be deployed and models deployed already, knowledge index schema by Microsoft Foundry, knowledge base and source information, and listing Microsoft Foundry , threads, messages and resources.",
       "toolMetadata": {
         "destructive": {
           "value": false,
@@ -1236,7 +1236,7 @@
     },
     {
       "name": "use_azure_openai_models",
-      "description": "Generate text completions, chat responses, and embeddings using Azure OpenAI models in AI Foundry. Create conversational AI interactions and vector embeddings for semantic search and analysis.",
+      "description": "Generate text completions, chat responses, and embeddings using Azure OpenAI models in Microsoft Foundry. Create conversational AI interactions and vector embeddings for semantic search and analysis.",
       "toolMetadata": {
         "destructive": {
           "value": false,
@@ -1270,8 +1270,8 @@
       ]
     },
     {
-      "name": "create_azure_ai_foundry_agent_resources",
-      "description": "Create Azure AI Foundry agent or thread.",
+      "name": "create_foundry_agent_resources",
+      "description": "Create Microsoft Foundry agent or thread.",
        "toolMetadata": {
         "destructive": {
           "value": false,
@@ -1304,8 +1304,8 @@
       ]
     },
     {
-      "name": "connect_azure_ai_foundry_agents",
-      "description": "Connect to Azure AI Foundry agents for establishing agent connections and communication channels.",
+      "name": "connect_foundry_agents",
+      "description": "Connect to Microsoft Foundry agents for establishing agent connections and communication channels.",
       "toolMetadata": {
         "destructive": {
           "value": false,
@@ -1337,8 +1337,8 @@
       ]
     },
     {
-      "name": "query_and_evaluate_azure_ai_foundry_agents",
-      "description": "Query Azure AI Foundry agents with prompts and evaluate their responses using various metrics for comprehensive performance assessment.",
+      "name": "query_and_evaluate_foundry_agents",
+      "description": "Query Microsoft Foundry agents with prompts and evaluate their responses using various metrics for comprehensive performance assessment.",
       "toolMetadata": {
         "destructive": {
           "value": false,
@@ -1370,8 +1370,8 @@
       ]
     },
     {
-      "name": "evaluate_azure_ai_foundry_agents",
-      "description": "Evaluate Azure AI Foundry agents for performance assessment and testing of agent capabilities using evaluation metrics.",
+      "name": "evaluate_foundry_agents",
+      "description": "Evaluate Microsoft Foundry agents for performance assessment and testing of agent capabilities using evaluation metrics.",
       "toolMetadata": {
         "destructive": {
           "value": false,

docs/bug-bash/README.md

@@ -173,7 +173,7 @@ We've prepared detailed testing guides for common scenarios:
 5. **[Database Operations](https://github.com/microsoft/mcp/tree/main/docs/bug-bash/scenarios/database-operations.md)** - Work with Cosmos DB, PostgreSQL, and Azure SQL
 6. **[Deployment Scenarios](https://github.com/microsoft/mcp/tree/main/docs/bug-bash/scenarios/deployment.md)** - Deploy resources and applications
 7. **[Full Stack Applications](https://github.com/microsoft/mcp/tree/main/docs/bug-bash/scenarios/full-stack-apps.md)** - Build complete apps with database backends
-8. **[Agent Building](https://github.com/microsoft/mcp/tree/main/docs/bug-bash/scenarios/agent-building.md)** - Create and deploy Azure Foundry agents
+8. **[Agent Building](https://github.com/microsoft/mcp/tree/main/docs/bug-bash/scenarios/agent-building.md)** - Create and deploy Microsoft Foundry agents
 
 ### Quick Start Scenarios
 

docs/bug-bash/scenarios/agent-building.md

@@ -1,11 +1,11 @@
 # AI Agent Building Testing Scenario
 
 > **MCP Tool Support Notice**
-> Azure MCP Server provides **AI Foundry resource inspection, model listing, and agent interaction** capabilities. Resource creation and deployment require Azure CLI or Portal. This scenario guides you through complete end-to-end workflows, clearly marking when to use MCP tools vs external tools.
+> Azure MCP Server provides **Microsoft Foundry resource inspection, model listing, and agent interaction** capabilities. Resource creation and deployment require Azure CLI or Portal. This scenario guides you through complete end-to-end workflows, clearly marking when to use MCP tools vs external tools.
 
 ## Objectives
 
-- Test Azure AI Foundry resource discovery and inspection
+- Test Microsoft Foundry resource discovery and inspection
 - Test AI model listing and deployment management
 - Test agent creation and interaction workflows
 - Validate agent querying and evaluation capabilities
@@ -20,36 +20,36 @@
 
 ---
 
-## Scenario 1: Azure AI Foundry Resource Discovery & Model Management
+## Scenario 1: Microsoft Foundry Resource Discovery & Model Management
 
-**Objective**: Complete workflow for discovering AI Foundry resources and managing model deployments
+**Objective**: Complete workflow for discovering Microsoft Foundry resources and managing model deployments
 
 ### Step 1: Setup Resources (External - Not MCP)
 
 > **External Setup Required**: Azure MCP Server cannot create resources. Use GitHub Copilot Chat to run Azure CLI commands or use Azure Portal.
 
 **Option A: Prompt GitHub Copilot Chat** (Recommended):
 ```
-Create an Azure resource group 'bugbash-aifoundry-rg' in eastus, then create an Azure AI Services account with SKU S0, and deploy GPT-4o model with deployment name 'gpt-4o-deployment'
+Create an Azure resource group 'bugbash-foundry-rg' in eastus, then create an Azure AI Services account with SKU S0, and deploy GPT-4o model with deployment name 'gpt-4o-deployment'
 ```
 
 **Option B: Run Azure CLI Commands Manually**:
 ```bash
 # Create resource group
-az group create --name bugbash-aifoundry-rg --location eastus
+az group create --name bugbash-foundry-rg --location eastus
 
-# Create Azure AI Foundry resource (AI Services account)
+# Create Microsoft Foundry resource (AI Services account)
 az cognitiveservices account create \
   --name bugbash-ai-foundry-$RANDOM \
-  --resource-group bugbash-aifoundry-rg \
+  --resource-group bugbash-foundry-rg \
   --location eastus \
   --kind AIServices \
   --sku S0
 
 # Deploy a model (GPT-4o)
 az cognitiveservices account deployment create \
   --name <account-name-from-above> \
-  --resource-group bugbash-aifoundry-rg \
+  --resource-group bugbash-foundry-rg \
   --deployment-name gpt-4o-deployment \
   --model-name gpt-4o \
   --model-version "2024-05-13" \
@@ -58,28 +58,28 @@ az cognitiveservices account deployment create \
   --sku-name Standard
 ```
 
-### Step 2: Discover AI Foundry Resources with Azure MCP Server
+### Step 2: Discover Microsoft Foundry Resources with Azure MCP Server
 
-**2.1 Get AI Foundry resource details** (uses `azmcp_foundry_resource_get`):
+**2.1 Get Microsoft Foundry resource details** (uses `azmcp_foundry_resource_get`):
 ```
-Show me details for Azure AI Foundry resources in my subscription
+Show me details for Microsoft Foundry resources in my subscription
 ```
 
 **Verify**:
 - [ ] Tool invoked: `azmcp_foundry_resource_get`
-- [ ] Your newly created AI Foundry resource appears
+- [ ] Your newly created Microsoft Foundry resource appears
 - [ ] Resource properties shown (name, location, SKU)
 
 **2.2 Alternative phrasing**:
 ```
-List all Azure AI Foundry resources in resource group 'bugbash-aifoundry-rg'
+List all Microsoft Foundry resources in resource group 'bugbash-foundry-rg'
 ```
 
 ### Step 3: List Available Models with Azure MCP Server
 
 **3.1 List all available models** (uses `azmcp_foundry_models_list`):
 ```
-List all available AI models in Azure AI Foundry
+List all available AI models in Microsoft Foundry
 ```
 
 **Verify**:
@@ -90,7 +90,7 @@ List all available AI models in Azure AI Foundry
 
 **3.2 Search for specific models**:
 ```
-Show me all GPT models available in Azure AI Foundry
+Show me all GPT models available in Microsoft Foundry
 ```
 
 **Verify**:
@@ -111,7 +111,7 @@ Which models can I use in the free playground?
 
 **4.1 List model deployments** (uses `azmcp_foundry_models_deployments_list`):
 ```
-List all model deployments in my Azure AI Foundry resource
+List all model deployments in my Microsoft Foundry resource
 ```
 
 **Verify**:
@@ -121,14 +121,14 @@ List all model deployments in my Azure AI Foundry resource
 
 **4.2 Alternative phrasing**:
 ```
-Show me all deployed models in my AI Foundry resource
+Show me all deployed models in my Microsoft Foundry resource
 ```
 
 ### Step 5: List OpenAI Models with Azure MCP Server
 
 **5.1 List OpenAI models** (uses `azmcp_foundry_openai_models-list`):
 ```
-List all OpenAI models and deployments in my Azure AI resource '<resource-name>' in resource group 'bugbash-aifoundry-rg'
+List all OpenAI models and deployments in my Azure AI resource '<resource-name>' in resource group 'bugbash-foundry-rg'
 ```
 
 **Verify**:
@@ -140,17 +140,17 @@ List all OpenAI models and deployments in my Azure AI resource '<resource-name>'
 
 **Option A: Prompt GitHub Copilot Chat**:
 ```
-Delete the Azure resource group 'bugbash-aifoundry-rg' and all its resources
+Delete the Azure resource group 'bugbash-foundry-rg' and all its resources
 ```
 
 **Option B: Run Azure CLI Command Manually**:
 ```bash
 # Delete resource group (removes all resources)
-az group delete --name bugbash-aifoundry-rg --yes --no-wait
+az group delete --name bugbash-foundry-rg --yes --no-wait
 ```
 
 **Expected Results**:
-- AI Foundry resource discovery works
+- Microsoft Foundry resource discovery works
 - Model catalog listing successful
 - Deployment inspection accurate
 - OpenAI model listing functional
@@ -160,14 +160,14 @@ az group delete --name bugbash-aifoundry-rg --yes --no-wait
 
 | Issue | Description | Resolution |
 |-------|-------------|------------|
-| **Authentication Failures** | Can't connect to AI Foundry endpoint | Verify `az login` and endpoint URL is correct |
+| **Authentication Failures** | Can't connect to Microsoft Foundry endpoint | Verify `az login` and endpoint URL is correct |
 | **Agent Not Found** | Agent ID doesn't exist | List agents first to get valid agent IDs |
 | **Token Limits** | Response truncated or incomplete | Model context window exceeded; use shorter prompts |
 | **Rate Limiting** | API throttling errors | Reduce request frequency or upgrade SKU |
-| **Endpoint Mismatch** | Wrong endpoint URL | Verify endpoint matches your AI Foundry resource |
+| **Endpoint Mismatch** | Wrong endpoint URL | Verify endpoint matches your Microsoft Foundry resource |
 | **Model Not Deployed** | Deployment not found | Check model deployments are active and provisioned |
 | **Evaluation Failures** | Evaluator returns errors | Ensure Azure OpenAI deployment exists for evaluation |
-| **Empty Agent List** | No agents returned | Create agents via AI Foundry Portal first |
+| **Empty Agent List** | No agents returned | Create agents via Microsoft Foundry Portal first |
 
 ## What to Report
 
@@ -182,7 +182,7 @@ When logging issues, include:
 
 ## Related Resources
 
-- [Azure AI Foundry Documentation](https://learn.microsoft.com/azure/ai-studio/)
+- [Microsoft Foundry Documentation](https://learn.microsoft.com/azure/ai-foundry/)
 - [Azure OpenAI Service](https://learn.microsoft.com/azure/ai-services/openai/)
 - [Azure AI Agents](https://learn.microsoft.com/azure/ai-services/agents/)
 - [Model Context Protocol](https://modelcontextprotocol.io/)
@@ -192,8 +192,8 @@ When logging issues, include:
 
 ## 💡 Quick Reference: Supported MCP Tools
 
-### AI Foundry Resources
-- `azmcp_foundry_resource_get` - Get AI Foundry resource details
+### Microsoft Foundry Resources
+- `azmcp_foundry_resource_get` - Get Microsoft Foundry resource details
 - `azmcp_foundry_models_list` - List available AI models
 - `azmcp_foundry_models_deployments_list` - List model deployments
 

eng/dnx/nuspec/README.md

@@ -74,9 +74,9 @@ When configured this way, you will need to update the version as new release bec
 
 Here are some cool prompts you can try across our supported Azure services:
 
-### 🧮 Azure AI Foundry
+### 🧮 Microsoft Foundry
 
-* List Azure Foundry models
+* List Microsoft Foundry models
 * Deploy foundry models
 * List foundry model deployments
 * List knowledge indexes
@@ -392,7 +392,6 @@ For detailed command documentation and examples, see [Azure MCP Commands](https:
 
 The Azure MCP Server provides tools for interacting with **30+ Azure service areas**:
 
-- 🧮 **Azure AI Foundry** - AI model management, AI model deployment, and knowledge index management
 - 🔎 **Azure AI Search** - Search engine/vector database operations
 - ⚙️ **Azure App Configuration** - Configuration management
 - 🛡️ **Azure Best Practices** - Secure, production-grade guidance
@@ -428,6 +427,7 @@ The Azure MCP Server provides tools for interacting with **30+ Azure service are
 - 📊 **Azure Workbooks** - Custom visualizations
 - 🏗️ **Bicep** - Azure resource templates
 - 🏗️ **Cloud Architect** - Guided architecture design
+- 🧮 **Microsoft Foundry** - AI model management, AI model deployment, and knowledge index management
 
 ## Documentation