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MCP-Bridge
Developer ToolsAuto-generatedScore: 28

Compute Admin Client MCP Server

The Compute Admin Client API is a specialized administrative interface provided by Microsoft for managing platform images within the Azure Compute infrastructure.

Quick Start Summary

The Compute Admin Client MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Compute Admin Client API through natural language. It exposes 4 API endpoints as callable tools, such as Returns all platform images., Returns the requested platform image., Creates a platform image., and more. No authentication is required — setup takes approximately 30 seconds. The server uses STDIO transport and can be installed by running npx -y @mcp/azure-com-azsadmin-platformimages. This integration is sourced from the auto Compute Admin Client OpenAPI specification (v2015-12-01-preview) and has a quality score of 28/99 (fair documentation coverage).

4Endpointstools mapped
NoneAuthopen access
28/99Qualityfair
~30 secSetupno auth
View Hosted Config URLClaude Desktop Setup Guide

Server Details

Category
Developer Tools
Authentication
None
Endpoints
4 operations
Transport
STDIO
Spec Version
v2015-12-01-preview
Install Command
npx -y @mcp/azure-com-azsadmin-platformimages

Environment Variables

COMPUTE_ADMIN_CLIENT_API_KEY

Example: your_compute_admin_client_api_key

Top Endpoints

GET
/subscriptions/{subscriptionId}/providers/Microsoft.Compute.Admin/locations/{location}/artifactTypes/platformImage

Returns all platform images.

GET
/subscriptions/{subscriptionId}/providers/Microsoft.Compute.Admin/locations/{location}/artifactTypes/platformImage/publishers/{publisher}/offers/{offer}/skus/{sku}/versions/{version}

Returns the requested platform image.

PUT
/subscriptions/{subscriptionId}/providers/Microsoft.Compute.Admin/locations/{location}/artifactTypes/platformImage/publishers/{publisher}/offers/{offer}/skus/{sku}/versions/{version}

Creates a platform image.

DELETE
/subscriptions/{subscriptionId}/providers/Microsoft.Compute.Admin/locations/{location}/artifactTypes/platformImage/publishers/{publisher}/offers/{offer}/skus/{sku}/versions/{version}

Deletes a platform image matching publisher, offer, skus and version

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📖 Detailed MCP Integration Guide

A technical breakdown of capabilities, agent workflows, and security/configuration best practices.

⚡Capabilities & Use Cases
The Compute Admin Client API is a specialized administrative interface provided by Microsoft for managing platform images within the Azure Compute infrastructure. It offers direct, low-level control over the lifecycle of virtual machine images used to provision resources in specific Azure regions. Core capabilities include the enumeration of available images, detailed inspection of individual image versions, and the ability to create, update, or delete specific image versions. This API is primarily intended for internal use by Microsoft engineering teams and authorized partners managing large-scale, dedicated Azure regions (e.g., Azure Government, Azure China, or sovereign clouds) to curate, validate, and maintain the gallery of platform images offered to customers in those environments. Its use cases revolve around backend infrastructure operations, such as publishing new Windows Server or Linux distributions, applying security patches at the image level, deprecating obsolete versions, and ensuring regional image availability meets compliance and performance standards.
🤖AI Agent Value
When exposed as a set of tools via the Model Context Protocol (MCP) server to an AI coding assistant, this API unlocks powerful, context-aware automation for infrastructure management. The AI agent gains the ability to directly query and manipulate the foundational image catalog that underlies cloud deployments. This transforms the assistant from a code-generation tool into an active participant in cloud operations. The specific value lies in enabling conversational, intent-driven management of image resources. A developer can leverage the AI to perform complex audit or validation tasks that would otherwise require manual scripting or navigation through multiple portal pages, all while maintaining a coherent dialogue about the infrastructure state and changes.
💬Example Workflows
Practical workflow examples include instructing the AI agent to "list all platform images available in the East US 2 region and summarize their publisher, offer, and SKU combinations," which allows for rapid environmental assessment. The agent can be directed to "create a new version '2023.12' for the Ubuntu 22.04 LTS image from Canonical to publish a critical security patch," automating the PUT operation. For lifecycle management, a command like "deprecate and delete version '2022.05' of the SQL Server 2019 image because it contains a known vulnerability" executes the necessary DELETE operation. Furthermore, the AI can assist in configuration validation by being asked to "retrieve the details of the latest Windows Server 2022 Datacenter image version and confirm it includes the specified hotfix KB1234567."
🛡️Security & Auth
Critical to the configuration of this MCP server is understanding its authentication model. While the endpoint specification may list authentication as "None" for simplicity, in a production Azure environment, access to the Microsoft.Compute.Admin resource provider is highly privileged and strictly governed. Any real-world implementation would require authentication using an Azure Active Directory service principal or managed identity with specific role assignments, such as a custom role with permissions like Microsoft.Compute.Admin/locations/platformImages/write. Developers must adhere to the principle of least privilege, granting only the minimum permissions required for the intended workflow (e.g., read-only for auditing vs. read-write for publishing). Configuration guidelines include using secure token management, segregating development from production environments, and implementing comprehensive logging and monitoring to audit all administrative actions performed through the API.

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