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AI & MLAuto-generatedScore: 34

Azure Machine Learning Model Management Service MCP Server

These APIs allow end users to manage Azure Machine Learning Models, Images, Profiles, and Services.

Quick Answer

  1. 1. The Azure Machine Learning Model Management Service MCP server lets Claude, Cursor, and VS Code interact with the Azure Machine Learning Model Management Service API through natural language.
  2. 2. Setup: Add the config to claude_desktop_config.json, set your environment variables, and restart.
  3. 3. 10 operations available including Query the list of Assets in a workspace., Create an Asset., Get an Asset., and more.
  4. 4. Quality score: 34/99 — fair source quality and documentation coverage.

Overview

Category: AI & ML

Auth: None

Endpoints: 10

Transport: STDIO

Command: npx -y @mcp/azure-com-machinelearningservices-modelmanagement

Spec: v2019-08-01

Setup time: ~30 sec (no auth)

Environment Variables

AZURE_MACHINE_LEARNING_MODEL_MANAGEMENT_SERVICE_API_KEY

Example: your_azure_machine_learning_model_management_service_api_key

One-Click Install

Copy the snippet for your MCP client and paste it in — zero editing required.

Claude Desktop

Add to claude_desktop_config.json

{
  "mcpServers": {
    "azure-com-machinelearningservices-modelmanagement": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/azure-com-machinelearningservices-modelmanagement"
      ],
      "env": {
        "AZURE_MACHINE_LEARNING_MODEL_MANAGEMENT_SERVICE_API_KEY": "your_azure_machine_learning_model_management_service_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

{
  "mcpServers": {
    "azure-com-machinelearningservices-modelmanagement": {
      "url": "https://mcpbridge.org/config/azure-com-machinelearningservices-modelmanagement.json"
    }
  }
}

Saves as .cursor/mcp.json in the download. Move it to your project root.

Deep link install →

VS Code

Use with MCP extension

{
  "mcpServers": {
    "azure-com-machinelearningservices-modelmanagement": {
      "url": "https://mcpbridge.org/config/azure-com-machinelearningservices-modelmanagement.json"
    }
  }
}

MCP Server Configuration

Add this to your claude_desktop_config.json or Cursor MCP settings.

{
  "mcpServers": {
    "azure-com-machinelearningservices-modelmanagement": {
      "command": "npx",
      "args": ["-y","@mcp/azure-com-machinelearningservices-modelmanagement"],
      "env": {
      "AZURE_MACHINE_LEARNING_MODEL_MANAGEMENT_SERVICE_API_KEY": "your_azure_machine_learning_model_management_service_api_key"
}
    }
  }
}

What You Can Build

With the Azure Machine Learning Model Management Service MCP server, your AI assistant can:

  • Access 10 API operations through natural language
  • Read, create, and modify ai & ml resources without writing HTTP requests
  • Chain multiple operations in a single conversation for complex workflows
  • Combine with other MCP servers for cross-tool automation

Endpoints

GET/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/assets

Query the list of Assets in a workspace.

POST/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/assets

Create an Asset.

GET/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/assets/{id}

Get an Asset.

DELETE/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/assets/{id}

Delete an Asset.

PATCH/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/assets/{id}

Update an Asset.

GET/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/images/{imageId}/profiles

Get a list of Image Profiles.

POST/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/images/{imageId}/profiles

Create a Profile.

GET/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/images/{imageId}/profiles/{id}

Get a Profile.

GET/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/models

Query the list of Models in a workspace.

POST/modelmanagement/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroup}/providers/Microsoft.MachineLearningServices/workspaces/{workspace}/models

Register a model.

Authentication

No authentication required. This MCP server can be used without API keys.

Spec Version

Version: 2019-08-01

Spec version published with the OpenAPI document. Config auto-updates when the spec changes.

Page last updated: June 13, 2026

Quality Score

34/99Fair
  • +Auto-generated (+12)
  • +OpenAPI spec available (+8)
  • +10 endpoints (+14)

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