# Azure MCP Server

> Azure MCP Server — asklokesh-azure-mcp-server. Use this tool when you need to integrate Microsoft Azure cloud services with GenAI applications, enabling seamless communication and data exchange through the Model Context Protocol. It solves problems related to cloud-based AI model deployment, management, and scalability, providing a standardized interface for inputs and outputs. Ideal for use cases requiring secure, efficient, and scalable GenAI model integration with Azure cloud services.

Canonical page: https://skillsregistry.net/skills/asklokesh-azure-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/asklokesh-azure-mcp-server

## Description

Integrates Microsoft Azure cloud services with GenAI applications using the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y6tabqc0ez)
- **Repository:** <https://github.com/asklokesh/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": "asklokesh-azure-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/asklokesh-azure-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/asklokesh-azure-mcp-server/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