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AI & MLAuto-generatedScore: 34

Machine Learning Workspaces Management Client MCP Server

These APIs allow end users to operate on Azure Machine Learning Workspace resources. They support CRUD operations for Azure Machine Learning Workspaces.

Quick Answer

  1. 1. The Machine Learning Workspaces Management Client MCP server lets Claude, Cursor, and VS Code interact with the Machine Learning Workspaces 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. 9 operations available including Operations_List, Workspaces_List, Workspaces_ListByResourceGroup, and more.
  4. 4. Quality score: 34/99fair source quality and documentation coverage.

Overview

Category: AI & ML

Auth: None

Endpoints: 9

Transport: STDIO

Command: npx -y @mcp/azure-com-machinelearning-workspaces

Spec: v2016-04-01

Setup time: ~30 sec (no auth)

Environment Variables

MACHINE_LEARNING_WORKSPACES_MANAGEMENT_CLIENT_API_KEY

Example: your_machine_learning_workspaces_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-machinelearning-workspaces": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/azure-com-machinelearning-workspaces"
      ],
      "env": {
        "MACHINE_LEARNING_WORKSPACES_MANAGEMENT_CLIENT_API_KEY": "your_machine_learning_workspaces_management_client_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

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

MCP Server Configuration

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

{
  "mcpServers": {
    "azure-com-machinelearning-workspaces": {
      "command": "npx",
      "args": ["-y","@mcp/azure-com-machinelearning-workspaces"],
      "env": {
      "MACHINE_LEARNING_WORKSPACES_MANAGEMENT_CLIENT_API_KEY": "your_machine_learning_workspaces_management_client_api_key"
}
    }
  }
}

What You Can Build

With the Machine Learning Workspaces Management Client MCP server, your AI assistant can:

  • Access 9 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.MachineLearning/operations

Operations_List

GET/subscriptions/{subscriptionId}/providers/Microsoft.MachineLearning/workspaces

Workspaces_List

GET/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/workspaces

Workspaces_ListByResourceGroup

GET/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/workspaces/{workspaceName}

Workspaces_Get

PUT/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/workspaces/{workspaceName}

Workspaces_CreateOrUpdate

DELETE/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/workspaces/{workspaceName}

Workspaces_Delete

PATCH/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/workspaces/{workspaceName}

Workspaces_Update

POST/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/workspaces/{workspaceName}/listWorkspaceKeys

Workspaces_ListWorkspaceKeys

POST/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/workspaces/{workspaceName}/resyncStorageKeys

Workspaces_ResyncStorageKeys

Authentication

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

Spec Version

Version: 2016-04-01

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)
  • +9 endpoints (+14)

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