# Azure Cloud Manager

> Use this tool when you need to manage and interact with Azure cloud resources, such as Cosmos DB, Storage, and App Configuration, through a command-line interface. It solves problems related to automating Azure resource management and enabling AI-assisted cloud operations, accepting commands as input and producing resource listings, query results, and operation outputs. Ideal for use in contexts where developers require robust authentication, retry policies, and telemetry integration for efficient cloud resource administration.

Canonical page: https://skillsregistry.net/skills/azure-cloud-manager  
JSON: https://api.skillsregistry.net/v1/skills/azure-cloud-manager

## Description

Azure MCP provides a .NET-based server implementation that enables AI assistants to interact with Azure cloud resources through a command-line interface. Built by Microsoft, this tool exposes capabilities for managing Azure services including Cosmos DB, Storage, App Configuration, and Monitor, with commands for listing resources, querying data, and performing administrative operations. The server supports both standard I/O and SSE transport protocols, implements robust authentication through Azure Identity, and features comprehensive retry policies and telemetry integration, making it valuable for developers seeking to automate Azure resource management or enable AI-assisted cloud operations.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-05-26

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/azure-cloud-manager)
- **Repository:** <https://github.com/azure/azure-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "azure-cloud-manager"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/azure-cloud-manager` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/azure-cloud-manager/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
