# Azure Resource Management

> Use this tool when you need to manage and interact with Azure resources, such as provisioning virtual machines or configuring networks, through a standardized protocol. It solves problems related to cloud resource management, including secure credential management and multi-tenant support. The tool takes in standardized protocol inputs and outputs Azure resource configurations, making it ideal for applications requiring automated Azure resource management.

Canonical page: https://skillsregistry.net/skills/streen9-azure-resource-management  
JSON: https://api.skillsregistry.net/v1/skills/streen9-azure-resource-management

## Description

This MCP server implementation provides a bridge to Azure services, enabling AI assistants to interact with Azure resources through a standardized protocol. Developed by Streen9, it offers tools for managing Azure compute, network, and subscription resources. Built with TypeScript and integrating the Model Context Protocol SDK, the server focuses on secure credential management and supports multiple Azure tenants. It is particularly useful for applications requiring cloud resource management, such as provisioning virtual machines, configuring networks, or monitoring Azure subscriptions. The implementation leverages Azure SDK libraries and provides a flexible interface for executing custom Azure-related code.

## Trust

- **Trust score (0–1):** 0.99
- **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/streen9-azure-resource-management)
- **Repository:** <https://github.com/kalivaraprasad-gonapa/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": "streen9-azure-resource-management"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/streen9-azure-resource-management` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/streen9-azure-resource-management/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