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. 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. Setup: Add the config to
claude_desktop_config.json, set your environment variables, and restart. - 3. 7 operations available including WebServices_List, WebServices_ListByResourceGroup, WebServices_Get, and more.
- 4. Quality score: 34/99 — fair 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_KEYExample: 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"
}
}
}
}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.
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
/subscriptions/{subscriptionId}/providers/Microsoft.MachineLearning/webServicesWebServices_List
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/webServicesWebServices_ListByResourceGroup
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/webServices/{webServiceName}WebServices_Get
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/webServices/{webServiceName}WebServices_CreateOrUpdate
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/webServices/{webServiceName}WebServices_Remove
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/webServices/{webServiceName}WebServices_Patch
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearning/webServices/{webServiceName}/listKeysWebServices_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
- +Auto-generated (+12)
- +OpenAPI spec available (+8)
- +7 endpoints (+14)
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