# Azure ML MCP Server

> Use this tool when you need to deploy and manage machine learning models as online endpoints, enabling AI agents to invoke them via natural language inputs. It solves problems of model deployment, management, and invocation, allowing for seamless integration with AI workflows. The Azure ML MCP Server takes in natural language inputs and outputs machine learning model predictions, ideal for use cases requiring automated model invocation and decision-making.

Canonical page: https://skillsregistry.net/skills/ejones18-azureml-mcp-fun  
JSON: https://api.skillsregistry.net/v1/skills/ejones18-azureml-mcp-fun

## Description

Deploys an MCP server on Azure Container Apps that exposes Azure ML managed online endpoints as tools, enabling AI agents like Azure AI Foundry to invoke machine learning models via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bmdqbo4ny5)
- **Repository:** <https://github.com/ejones18/azureml-mcp-fun>

## 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": "ejones18-azureml-mcp-fun"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ejones18-azureml-mcp-fun` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ejones18-azureml-mcp-fun/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