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AI & MLAuto-generatedScore: 34

Azure Machine Learning Compute Management Client MCP Server

These APIs allow end users to operate on Azure Machine Learning Compute resources. They support the following operations:<ul><li>Create or update a cluster</li><li>Get a cluster</li><li>Patch a cluster</li><li>Delete a cluster</li><li>Get keys for a cluster</li><li>Check if updates are available for

Quick Answer

  1. 1. The Azure Machine Learning Compute Management Client MCP server lets Claude, Cursor, and VS Code interact with the Azure Machine Learning Compute Management Client 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 MachineLearningCompute_ListAvailableOperations, OperationalizationClusters_ListBySubscriptionId, OperationalizationClusters_ListByResourceGroup, and more.
  4. 4. Quality score: 34/99fair source quality and documentation coverage.

Overview

Category: AI & ML

Auth: None

Endpoints: 10

Transport: STDIO

Command: npx -y @mcp/azure-com-machinelearningcompute-machinelearningcompute

Spec: v2017-06-01-preview

Setup time: ~30 sec (no auth)

Environment Variables

AZURE_MACHINE_LEARNING_COMPUTE_MANAGEMENT_CLIENT_API_KEY

Example: your_azure_machine_learning_compute_management_client_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-machinelearningcompute-machinelearningcompute": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/azure-com-machinelearningcompute-machinelearningcompute"
      ],
      "env": {
        "AZURE_MACHINE_LEARNING_COMPUTE_MANAGEMENT_CLIENT_API_KEY": "your_azure_machine_learning_compute_management_client_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

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

MCP Server Configuration

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

{
  "mcpServers": {
    "azure-com-machinelearningcompute-machinelearningcompute": {
      "command": "npx",
      "args": ["-y","@mcp/azure-com-machinelearningcompute-machinelearningcompute"],
      "env": {
      "AZURE_MACHINE_LEARNING_COMPUTE_MANAGEMENT_CLIENT_API_KEY": "your_azure_machine_learning_compute_management_client_api_key"
}
    }
  }
}

What You Can Build

With the Azure Machine Learning Compute Management Client 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/providers/Microsoft.MachineLearningCompute/operations

MachineLearningCompute_ListAvailableOperations

GET/subscriptions/{subscriptionId}/providers/Microsoft.MachineLearningCompute/operationalizationClusters

OperationalizationClusters_ListBySubscriptionId

GET/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningCompute/operationalizationClusters

OperationalizationClusters_ListByResourceGroup

GET/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningCompute/operationalizationClusters/{clusterName}

OperationalizationClusters_Get

PUT/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningCompute/operationalizationClusters/{clusterName}

OperationalizationClusters_CreateOrUpdate

DELETE/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningCompute/operationalizationClusters/{clusterName}

OperationalizationClusters_Delete

PATCH/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningCompute/operationalizationClusters/{clusterName}

OperationalizationClusters_Update

POST/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningCompute/operationalizationClusters/{clusterName}/checkUpdate

OperationalizationClusters_CheckUpdate

POST/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningCompute/operationalizationClusters/{clusterName}/listKeys

OperationalizationClusters_ListKeys

POST/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningCompute/operationalizationClusters/{clusterName}/updateSystem

OperationalizationClusters_UpdateSystem

Authentication

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

Spec Version

Version: 2017-06-01-preview

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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