mcp-server-foundryAgent-Azure-ML-Integration

The architecture is designed with security in mind, separating agent intelligence (Layer 1) from enterprise system execution (Layer 3) via a secure middleware (Layer 2 - MCP Server). The MCP server explicitly routes to known functions, preventing arbitrary code execution based on agent input. Azure authentication uses `DefaultAzureCredential`, supporting secure methods like Managed Identity and Azure CLI. No hardcoded secrets were found; all credentials are externalized to `.env` which is `.gitignore`-ed. The FastAPI server binds to `0.0.0.0`, which is standard for containerized apps but requires proper network security (firewalls, VNETs) in production. `ngrok` is mentioned for local public exposure, which is an external service and introduces its own security considerations.