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+# Deploying SQL MCP Server implemented in Data API builder and Integrating with Azure AI Foundry
+
+This document provides an end‑to‑end guide to stand up a **SQL MCP Server** with **Model Context Protocol (MCP)** tools implemented in **Data API builder (DAB)** container that also exposes **REST** and **GraphQL** endpoints, and to integrate those MCP tools with an **Azure AI Foundry Agent**. 
+
+## 1. Architecture Overview
+
+**Components**
+- **Azure SQL Database** hosting domain tables and stored procedures.
+- **DAB container** (Azure Container Instances in this guide) that:
+  - reads `dab-config.json` from an **Azure Files** share at startup,
+  - exposes **REST**, **GraphQL**, and **MCP** endpoints.
+- **Azure Storage (Files)** to store and version `dab-config.json`.
+- **Azure AI Foundry Agent** configured with an **MCP tool** pointing to the SQL MCP Server endpoint.
+
+**Flow**
+1. DAB starts in ACI → reads `dab-config.json` from the mounted Azure Files share.  
+2. DAB exposes `/api` (REST), `/graphql` (GraphQL), and `/mcp` (MCP).  
+3. Azure AI Foundry Agent invokes MCP tools to read/update data via DAB’s surface (tables, views and stored procedures).
+
+
+## 2. Prerequisites
+- Azure Subscription with permissions for Resource Groups, Storage, ACI, and Azure SQL.
+- Azure SQL Database provisioned and reachable from ACI.
+- Azure CLI (`az`) and .NET SDK installed locally.
+- DAB CLI version **1.7.81 or later**.
+- Outbound network access from ACI to your Azure SQL server.
+
+
+## 3. Prepare the Database
+
+You need to create the necessary tables and stored procedures in your Azure SQL Database. Below is an example of how to create a simple `Products` table and a stored procedure to retrieve products by category.
+
+**Example:**
+
+1. Connect to your Azure SQL Database using Azure Data Studio, SQL Server Management Studio, or the Azure Portal's Query Editor.
+
+2. Run the following SQL script to create a sample table and stored procedure:
+
+```sql
+-- Create Products table
+CREATE TABLE Products (
+    ProductID INT IDENTITY(1,1) PRIMARY KEY,
+    Name NVARCHAR(100) NOT NULL,
+    Category NVARCHAR(50) NOT NULL,
+    Price DECIMAL(10,2) NOT NULL
+);
+
+-- Create stored procedure to get products by category
+CREATE PROCEDURE GetProductsByCategory
+    @Category NVARCHAR(50)
+AS
+BEGIN
+    SET NOCOUNT ON;
+    SELECT ProductID, Name, Category, Price
+    FROM Products
+    WHERE Category = @Category;
+END;
+```
+
+## 4. Install DAB CLI and Bootstrap Configuration
+
+```
+dotnet tool install --global Microsoft.DataApiBuilder --version 1.7.81
+export DATABASE_CONNECTION_STRING="Server=<server>.database.windows.net;Database=<db>;User ID=<user>;Password=<pwd>;Encrypt=True;"
+
+dab init \
+  --database-type "mssql" \
+  --connection-string "@env('DATABASE_CONNECTION_STRING')" \
+  --host-mode "Development" \
+  --rest.enabled true \
+  --graphql.enabled true \
+  --mcp.enabled true \
+  --mcp.path "/mcp" 
+ 
+```
+  
+## 5. Add all required entities (tables and stored procedures) to `dab-config.json` and enable MCP tools in the config
+
+Here is how to add a table entity and a stored procedure to your `dab-config.json`, and ensure MCP tools are enabled:
+
+1. **Open your `dab-config.json` file.**
+
+2. **Add an entity (table) definition** under the `"entities"` section. For example, to expose a `Customers` table:
+   ```
+   "entities": {
+     "Customers": {
+       "source": "Customers",
+       "rest": true,
+       "graphql": true,
+       "mcp": true,
+       "permissions": [
+         {
+           "role": "anonymous",
+           "actions": [ "read", "create", "update", "delete" ]
+         }
+       ]
+     }
+   }
+   ```
+
+3. **Add a stored procedure** under the "entities" section. For example, to expose a stored procedure called GetCustomerOrders:
+
+  ```
+  "GetCustomerOrders": {
+    "source": {
+      "object": "GetCustomerOrders",
+      "type": "stored-procedure"
+    },
+    "rest": true,
+    "graphql": true,
+    "mcp": true,
+    "permissions": [
+      {
+        "role": "anonymous",
+        "actions": [ "execute" ]
+      }
+    ]
+  }
+  ```
+
+Note: Make sure the "entities" section is a valid JSON object. If you have multiple entities, separate them with commas.
+
+4. **Ensure MCP is enabled in the "runtime" section:**
+
+```
+"runtime": {
+  "rest": { "enabled": true },
+  "graphql": { "enabled": true },
+  "mcp": {
+    "enabled": true,
+    "path": "/mcp"
+  }
+}
+```
+
+5. **Example dab-config.json structure:**
+
+```
+{
+  "data-source": {
+    "database-type": "mssql",
+    "connection-string": "@env('DATABASE_CONNECTION_STRING')"
+  },
+  "runtime": {
+    "rest": { "enabled": true },
+    "graphql": { "enabled": true },
+    "mcp": {
+      "enabled": true,
+      "path": "/mcp"
+    }
+  },
+  "entities": {
+    "Customers": {
+      "source": "Customers",
+      "rest": true,
+      "graphql": true,
+      "mcp": true,
+      "permissions": [
+        {
+          "role": "anonymous",
+          "actions": [ "read", "create", "update", "delete" ]
+        }
+      ]
+    },
+    "GetCustomerOrders": {
+      "source": {
+        "object": "GetCustomerOrders",
+        "type": "stored-procedure"
+      },
+      "rest": true,
+      "graphql": true,
+      "mcp": true,
+      "permissions": [
+        {
+          "role": "anonymous",
+          "actions": [ "execute" ]
+        }
+      ]
+    }
+  }
+}
+```
+
+6. **Save the file.**
+
+## 6. Store dab-config.json in Azure Files
+
+1. **Create a Storage Account** (if you don't have one):
+az storage account create
+--name
+--resource-group
+--location
+--sku Standard_LRS
+
+
+2. **Create a File Share**:
+az storage share create
+--name
+--account-name
+
+
+3. **Upload `dab-config.json` to the File Share**:
+az storage file upload
+--account-name
+--share-name
+--source ./dab-config.json
+--path dab-config.json
+
+
+4. **Retrieve the Storage Account key** (needed for mounting in ACI):
+az storage account keys list
+--account-name
+--resource-group
+
+Use the value of `key1` or `key2` as `<StorageAccountKey>` in the next step.
+
+
+## 7. Deploy DAB to Azure Container Instances
+
+```
+az container create \
+  --resource-group <RG> \
+  --name dab-mcp-demo \
+  --image mcr.microsoft.com/azure-databases/data-api-builder:1.7.81-rc \
+  --dns-name-label <globally-unique-label> \
+  --ports 5000 \
+  --location <location> \
+  --environment-variables DAB_CONFIG_PATH="/aci/dab-config.json" \
+  --azure-file-volume-share-name <FileShareName> \
+  --azure-file-volume-account-name <StorageAccountName> \
+  --azure-file-volume-account-key <StorageAccountKey> \
+  --azure-file-volume-mount-path "/aci" \
+  --os-type Linux \
+  --cpu 1 \
+  --memory 1.5 \
+  --command-line "dotnet Azure.DataApiBuilder.Service.dll --ConfigFileName $DAB_CONFIG_PATH --LogLevel Debug"
+```
+
+## 8. Integrate with Azure AI Foundry
+
+Follow these steps to connect your SQL MCP endpoint deployed in DAB to Azure AI Foundry and test the integration:
+
+1. **Create or Open a Project**
+   - Navigate to the [Azure AI Foundry portal](https://ai.azure.com/foundry) and sign in.
+   - On the dashboard, click **Projects** in the left navigation pane.
+   - To create a new project, click **New Project**, enter a name (e.g., `DAB-MCP-Demo`), and click **Create**.
+   - To use an existing project, select it from the list.
+
+2. **Add an Agent**
+   - Within your project, go to the **Agents** tab.
+   - Click **Add Agent**.
+   - Enter an agent name (e.g., `DAB-MCP-Agent`).
+   - (Optional) Add a description.
+   - Click **Create**.
+
+3. **Configure the MCP Tool**
+   - In the agent's configuration page, go to the **Tools** section.
+   - Click **Add Tool** and select **MCP** from the tool type dropdown.
+   - In the **MCP Endpoint URL** field, enter your SQL MCP endpoint in DAB, e.g., `http://<fqdn>/mcp`.
+   - (Optional) Configure authentication if your endpoint requires it.
+   - Click **Save** to add the tool.
+
+4. **Test in Playground**
+   - Go to the **Playground** tab in your project.
+   - Select the agent you created from the agent dropdown.
+   - In the input box, enter a prompt that will trigger the MCP tool, such as:
+     ```
+     Get all records from the Customers entity.
+     ```
+   - Click **Run**.
+   - The agent should invoke the MCP tool, which will call your DAB MCP endpoint and return the results.
+   - **Expected Result:** You should see the data returned from your DAB instance displayed in the Playground output panel.
+   - If there are errors, check the DAB container logs and ensure the MCP endpoint is reachable from Azure AI Foundry.