AI Agent for Azure MCP
Effortlessly connect AI agents to Azure services with Azure MCP Server. Unlock seamless integration and empower your workflows with advanced Azure context, direct access to resources, and robust automation. Azure MCP enhances productivity by enabling AI-driven management, querying, and configuration across your Azure environment—all within VS Code or your own client.
Unified Azure Service Access
Azure MCP Server streamlines AI agent access to a broad spectrum of Azure services, providing centralized management, real-time querying, and context-enriched automation. Manage resources, monitor health, and configure services—all from a single intelligent interface.
- Full Azure Service Coverage.
- Connect to Azure AI Search, Cosmos DB, AKS, SQL, Storage, Monitor, App Configuration, and dozens more directly through the MCP Server.
- Real-Time Automation.
- Enable rapid, AI-powered commands and workflows across your Azure resources for instant insights and streamlined operations.
- Centralized Management.
- Oversee all Azure resources, monitor health, and implement configurations from one unified interface, reducing complexity.
- CLI and Extension Support.
- Works with VS Code, CLI, Docker, and custom clients, giving you flexibility in how you integrate AI capabilities into your stack.
Powerful AI-Driven Operations
Leverage the full power of AI agents to execute queries, manage configurations, and automate resource provisioning in Azure. The MCP Server empowers you to interact with your cloud infrastructure using natural language prompts and advanced automation.
- Natural Language Prompts.
- Ask questions and execute commands such as 'List my storage accounts' or 'Show Cosmos DB databases' with conversational instructions.
- Automated Resource Provisioning.
- Deploy, update, and manage Azure resources automatically, reducing manual overhead and risk.
- Compliance & Best Practices.
- Integrate Azure and Terraform best-practice recommendations for secure, scalable, and compliant cloud environments.
Flexible Installation & Integration
Install Azure MCP Server via VS Code, npm, Docker, or custom clients to fit any development workflow. Effortlessly upgrade and configure authentication for secure, scalable, and adaptable enterprise deployments.
- Multi-Platform Installation.
- Get started quickly with VS Code extension, npm package, or Docker container for cross-environment flexibility.
- Secure Authentication.
- Supports DefaultAzureCredential, RBAC, and environment variables for robust, enterprise-grade security.
MCP INTEGRATION
Available Azure MCP Server MCP Integration Tools
The following tools are available as part of the Azure MCP Server MCP integration:
- azure_ai_search
List Azure AI Search services, indexes, and query search indexes to retrieve relevant data.
- azure_app_configuration
List and manage App Configuration stores, key-value pairs, and handle labeled configurations.
- azure_best_practices
Get secure, production-grade Azure SDK best practices for effective code generation.
- azure_cli_extension
Execute Azure CLI commands directly with support for all Azure CLI functionality and JSON output.
- azure_cosmos_db
List Cosmos DB accounts, query databases, manage containers and items, and execute SQL queries.
- azure_data_explorer
List Data Explorer clusters, databases, tables, get schemas, sample rows, and run KQL queries.
- azure_postgresql_flexible_server
List and query PostgreSQL databases, tables, get server configurations, and parameters.
- azure_developer_cli
Execute Azure Developer CLI commands for template discovery, provisioning, and deployment.
- azure_foundry
List Azure Foundry models, deploy models, and view foundry model deployments.
- azure_managed_grafana
Discover and list Azure Managed Grafana resources.
- azure_key_vault
List and create certificates, keys, and secrets in Azure Key Vault.
- azure_kubernetes_service
List Azure Kubernetes Service clusters and retrieve their properties.
- azure_load_testing
List and create load test resources, load tests, and manage load test runs.
- azure_marketplace
Get details about Azure Marketplace products.
- azure_monitor
Query Log Analytics, list workspaces, query logs, get entity health, and query resource metrics.
- azure_native_isv_services
List monitored resources in a Datadog Monitor.
- azure_quick_review_cli
Scan Azure resources for compliance-related recommendations.
- azure_redis_cache
List Redis clusters, databases, cache resources, and access policies.
- azure_resource_groups
List Azure resource groups.
- azure_rbac
List role assignments for Azure resources.
- azure_service_bus
Examine properties and runtime information for queues, topics, and subscriptions.
- azure_sql_database
Show and list SQL database details, firewall rules, elastic pools, and administrators.
- azure_storage
List storage accounts, manage blob containers/blobs, query tables, and list Data Lake paths.
- azure_subscription
List Azure subscriptions available to your account.
- azure_terraform_best_practices
Get secure, production-grade Azure Terraform best practices for code generation and execution.
- azure_workbooks
List, create, update, get details, and delete Azure Workbooks in resource groups.
- bicep
Get the Bicep schema for specific Azure resource types for infrastructure-as-code tasks.
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What is Azure MCP Server
Azure MCP Server is an open-source implementation developed by Microsoft that acts as a bridge between AI agents and Azure cloud services. It adheres to the MCP (Machine Control Protocol) specification, enabling seamless and secure communication between AI-powered applications and a wide array of Azure resources. By integrating with Azure MCP Server, developers and organizations can leverage advanced Azure capabilities—such as secure file storage, database access, log querying, and execution of CLI commands—directly from their AI agents or code editors. This empowers AI-driven automation, workflow orchestration, and efficient resource management across Azure environments, making it a powerful tool for both developers and enterprises seeking to harness cloud infrastructure at scale.
Capabilities
What we can do with Azure MCP Server
With Azure MCP Server, users can connect AI agents and applications directly to Azure services for a variety of use cases. The MCP server provides a secure and standardized way to interact with resources such as file storage, databases, logs, and CLI tools, facilitating task automation and cloud resource management.
- File Storage Integration
- Seamlessly store, retrieve, and manage files within Azure Storage from AI-powered workflows.
- Database Querying
- Access, read, and write to Azure databases directly through the MCP interface for real-time data-driven actions.
- Logs Querying
- Fetch and analyze Azure logs to monitor, debug, and optimize applications or AI tasks.
- Execute CLI Commands
- Run Azure CLI commands programmatically, allowing agents to automate infrastructure management.
- Secure Resource Access
- Enforce fine-grained permissions and secure access to Azure resources for AI agents and applications.
How AI Agents Benefit from Azure MCP Server
AI agents can leverage Azure MCP Server to unlock cloud capabilities previously inaccessible or cumbersome to integrate. By acting as a standardized interface, the MCP Server allows AI-driven systems to securely interact with Azure resources, automate workflows, manage data, and execute complex actions autonomously. This results in increased efficiency, reduced manual intervention, and the ability to build more intelligent and responsive applications—all while adhering to enterprise-grade security and compliance standards.