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+# Deploying Data API Builder (DAB) MCP Server and Integrating with Azure AI Foundry
+
+This document provides an end‑to‑end guide to stand up a **Data API Builder (DAB)** container that exposes **REST**, **GraphQL**, and **Model Context Protocol (MCP)** endpoints, and to integrate those endpoints 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 DAB MCP 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 (entities 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
+Create tables and stored procedures:
+- Tables
+- Stored Procedures
+
+## 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 entities and stored procedure to `dab-config.json` and enable MCP tools in the config.
+
+## 6. Store dab-config.json in Azure Files
+- Create a Storage Account and File Share.
+- Upload dab-config.json.
+- Record account name and key for mounting in ACI.
+
+## 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 $configFile --LogLevel Debug"
+```
+REST: http://<fqdn>/api/<EntityName>
+GraphQL: http://<fqdn>/graphql
+MCP: http://<fqdn>/mcp
+
+## 8. Integrate with Azure AI Foundry
+- Create or open a Project.
+- Add an Agent.
+- Add MCP tool with URL: http://<fqdn>/mcp.
+- Test in Playground
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