# MCP on Azure

> Use this tool when you need to automatically generate descriptions for image blobs stored in Azure Blob Storage, leveraging Azure OpenAI's gpt-4o vision model to simplify image analysis and tagging. It solves problems related to image metadata management and content description, accepting image blobs as input and producing descriptive text as output. Ideal for use cases requiring efficient image categorization and description, such as content moderation or image search optimization.

Canonical page: https://skillsregistry.net/skills/ofekbeneliezer-mcp-on-azure  
JSON: https://api.skillsregistry.net/v1/skills/ofekbeneliezer-mcp-on-azure

## Description

Enables listing image blobs from Azure Blob Storage and generating descriptions using Azure OpenAI's gpt-4o vision model.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l2z1w1bzj5)
- **Repository:** <https://github.com/OfekBenEliezer/mcp-on-azure>

## 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": "ofekbeneliezer-mcp-on-azure"
    }
  }
}
```

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