Azure MCP Server

Overview

The Azure MCP Server enables AI-powered development tools to interact with Azure cloud services through the Model Context Protocol. Azure offers many cloud services for building robust applications, and the Azure MCP Server exposes these powerful services for agentic usage, allowing AI systems to perform operations that are context-aware of your Azure resources.

Key Features

• MCP Protocol Implementation: Compatible with MCP clients like GitHub Copilot, OpenAI Agents SDK, Semantic Kernel
• Entra ID Authentication: Azure Identity library integration following best practices
• Azure Services Support: Broad coverage of Azure resources and operations
• CLI Integration: Azure CLI and Azure Developer CLI (azd) support
• Multi-Language: Python and .NET SDK support
• VS Code Extension: Integrated development experience
• Resource Management: Query, create, update Azure resources
• Data Access: Read files from Storage, query databases, analyze logs

Supported Azure Services

Compute:

• Azure Virtual Machines
• Azure Kubernetes Service (AKS)
• Azure Container Instances
• Azure Functions
• Azure App Service

Data & Storage:

• Azure Cosmos DB
• Azure SQL Database
• Azure Blob Storage
• Azure Table Storage
• Azure Queue Storage
• Azure Data Lake

Analytics:

• Azure Log Analytics
• Azure Monitor
• Application Insights
• Azure Data Explorer

Networking:

• Virtual Networks
• Load Balancers
• Application Gateway
• Azure DNS
• Traffic Manager

Security:

• Azure Key Vault
• Azure Active Directory
• Azure Security Center
• Microsoft Sentinel

Use Cases

Database Operations:

• Query Azure Cosmos DB using natural language
• Execute SQL queries on Azure SQL Database
• Retrieve documents from NoSQL collections
• Perform data aggregations

Storage Management:

• Read files from Azure Storage
• Upload and download blobs
• List storage containers
• Manage file shares

Log Analysis:

• Query logs in Log Analytics workspace
• Run KQL (Kusto Query Language) queries
• Analyze application insights
• Troubleshoot issues from logs

Resource Management:

• List Azure storage accounts
• Get resource group information
• Monitor resource health
• Manage resource tags

GitHub Copilot Integration

Developers can use GitHub Copilot agent mode with the Azure MCP Server to:

• List Azure storage accounts conversationally
• Run KQL queries on Azure databases
• Access Azure resources from IDE
• Deploy applications to Azure
• Monitor application performance

Authentication

Entra ID (Azure AD):

• DefaultAzureCredential for seamless auth
• Managed Identity support
• Service Principal authentication
• Interactive browser login
• Device code flow
• Azure CLI credential

Best Practices:

• Follows Azure authentication patterns
• Secure credential management
• Token caching
• Automatic token refresh

Azure CLI Integration

Azure CLI:

• Run az commands via MCP
• Resource provisioning
• Configuration management
• Script execution

Azure Developer CLI (azd):

• Initialize projects
• Deploy applications
• Manage environments
• Provision infrastructure

Tools Available

Azure Cloud Architect:

• Design cloud solutions
• Best practice recommendations
• Architecture validation
• Cost optimization suggestions

Azure Redis Tools:

• Cache management
• Connection configuration
• Performance monitoring
• Data operations

Resource Management Tools:

• CRUD operations on resources
• Resource group management
• Subscription operations
• Tag management

Natural Language Examples

"List all storage accounts in my Azure subscription" "Query the application logs from the last 24 hours" "Show me the contents of container 'data' in storage account 'mystore'" "Run a KQL query on my Log Analytics workspace" "Deploy this application to Azure App Service"

Compatible MCP Clients

• GitHub Copilot (agent mode)
• VS Code with Azure extension
• OpenAI Agents SDK
• Semantic Kernel
• Claude Desktop
• Claude Code
• Cursor
• Custom MCP implementations

Development Languages

Python:

• Azure SDK for Python
• FastAPI for MCP server
• Type hints and async support

.NET:

• Azure SDK for .NET
• C# implementation
• ASP.NET Core integration

VS Code Extension

Available from Visual Studio Marketplace:

• Integrated Azure resource explorer
• IntelliSense for Azure APIs
• Authentication helpers
• Debug support
• Configuration management

KQL (Kusto Query Language) Support

Query Azure logs and data:

AppRequests
| where TimeGenerated > ago(24h)
| summarize count() by ResultCode

• Log Analytics queries
• Application Insights queries
• Azure Data Explorer
• Advanced analytics

Security Best Practices

• Use Managed Identities when possible
• Implement least privilege access
• Enable Azure AD authentication
• Use Key Vault for secrets
• Enable audit logging
• Follow Azure Well-Architected Framework

Resource Provisioning

• ARM templates deployment
• Bicep file execution
• Terraform integration
• Azure Resource Manager API
• Infrastructure as Code

Monitoring & Observability

• Application Insights integration
• Azure Monitor metrics
• Log Analytics queries
• Performance tracking
• Error monitoring
• Custom telemetry

Cost Management

• Resource cost analysis
• Budget alerts
• Cost optimization recommendations
• Resource right-sizing
• Reserved instance analysis

High Availability

• Multi-region deployment
• Availability zones
• Load balancing
• Traffic management
• Disaster recovery

Compliance

• Azure Policy enforcement
• Regulatory compliance
• Security standards
• Data residency
• Compliance reporting

Performance Optimization

• Caching strategies
• CDN integration
• Auto-scaling configuration
• Performance monitoring
• Query optimization

Pricing

Free and open-source MCP server. Azure service pricing applies based on:

• Resource usage
• Data transfer
• API calls
• Storage consumption
• Compute hours

Azure free tier includes 12 months of free services and always-free services.