# Azure Resource Manager

> Use this tool when you need to manage and interact with Azure cloud resources in a standardized way, solving problems such as subscription management, resource group operations, and storage account validation. It provides a interface for AI assistants to discover and execute Azure functionality, taking in environment-based authentication as input and outputting managed resources. This tool is ideal for developers and administrators integrating Azure resource management into AI-powered workflows.

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

## Description

Azure MCP Server provides a standardized interface for interacting with and managing Azure cloud resources through the Model Context Protocol. Developed by Ravikanth C, this server exposes Azure functionality as tools that can be discovered and executed by AI assistants, including subscription management, resource group operations, resource listing, and storage account validation. The implementation uses Azure SDK libraries with environment-based authentication, making it ideal for developers and administrators who want to integrate Azure resource management capabilities into AI-powered workflows.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

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

## 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": "rchaganti-azure-resource-manager"
    }
  }
}
```

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