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Query core Azure services through one interface for development and operations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-azure-toolkit" yet — see the docs or source repo.
Use mcp-azure-toolkit to list Blob Storage containers and Service Bus namespaces in the specified subscription, grouped by resource group.
A grouped inventory of storage and messaging resources for quick cloud asset review.
Use mcp-azure-toolkit to retrieve basic info, access policies, and network access settings for all Key Vaults in this resource group, then summarize potential risks.
A Key Vault configuration overview with risk notes to support security review.
Using mcp-azure-toolkit, fetch the Resource Manager metadata, resource group, and current status of the specified Azure resource to help diagnose deployment issues.
A summary of resource status and context to diagnose deployment failures or configuration issues.
Manage Azure infrastructure and cloud resources using natural language commands.
Manage Azure storage, virtual machines, and app services more efficiently.
Expose Azure ML endpoints as MCP tools for natural-language AI agent calls.
Connect AI to Azure DevOps to manage projects, repos, work items, and pipelines.
Query, explore, and interact with Azure SQL databases via MCP clients.
Secure file and directory operations for autonomous AI development workflows.