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AI & MLAuto-generatedScore: 34

Azure ML Web Services Management Client MCP Server

These APIs allow end users to operate on Azure Machine Learning Web Services resources. They support the following operations:<ul><li>Create or update a web service</li><li>Get a web service</li><li>Patch a web service</li><li>Delete a web service</li><li>Get All Web Services in a Resource Group </l

Quick Answer

  1. 1. The Azure ML Web Services Management Client MCP server lets Claude, Cursor, and VS Code interact with the Azure ML Web Services 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. 7 operations available including WebServices_List, WebServices_ListByResourceGroup, WebServices_Get, and more.
  4. 4. Quality score: 34/99fair source quality and documentation coverage.

Overview

Category: AI & ML

Auth: None

Endpoints: 7

Transport: STDIO

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

Spec: v2016-05-01-preview

Setup time: ~30 sec (no auth)

Environment Variables

AZURE_ML_WEB_SERVICES_MANAGEMENT_CLIENT_API_KEY

Example: your_azure_ml_web_services_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-webservices": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/azure-com-machinelearning-webservices"
      ],
      "env": {
        "AZURE_ML_WEB_SERVICES_MANAGEMENT_CLIENT_API_KEY": "your_azure_ml_web_services_management_client_api_key"
      }
    }
  }
}
Deep link

Cursor

Settings → MCP Servers → Add

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

MCP Server Configuration

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

{
  "mcpServers": {
    "azure-com-machinelearning-webservices": {
      "command": "npx",
      "args": ["-y","@mcp/azure-com-machinelearning-webservices"],
      "env": {
      "AZURE_ML_WEB_SERVICES_MANAGEMENT_CLIENT_API_KEY": "your_azure_ml_web_services_management_client_api_key"
}
    }
  }
}

What You Can Build

With the Azure ML Web Services Management Client MCP server, your AI assistant can:

  • Access 7 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/subscriptions/{subscriptionId}/providers/Microsoft.MachineLearning/webServices

WebServices_List

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

WebServices_ListByResourceGroup

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

WebServices_Get

PUT/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/webServices/{webServiceName}

WebServices_CreateOrUpdate

DELETE/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/webServices/{webServiceName}

WebServices_Remove

PATCH/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/webServices/{webServiceName}

WebServices_Patch

GET/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/webServices/{webServiceName}/listKeys

WebServices_ListKeys

Authentication

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

Spec Version

Version: 2016-05-01-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)
  • +7 endpoints (+14)

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