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Cloud InfrastructureAuto-generatedScore: 34

Azure Migrate MCP Server

Azure Migrate is a comprehensive cloud migration service provided by Microsoft, designed to simplify the complex process of transitioning on-premises infrastructure, applications, and data to the Azure cloud platform.

Quick Start Summary

The Azure Migrate MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the Azure Migrate API through natural language. It exposes 10 API endpoints as callable tools, such as Get list of operations supported in the API., Get all assessments created in the project., Get all groups, 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-migrate. This integration is sourced from the auto Azure Migrate OpenAPI specification (v2017-11-11-preview) and has a quality score of 34/99 (fair documentation coverage).

10Endpointstools mapped
NoneAuthopen access
34/99Qualityfair
~30 secSetupno auth

Server Details

Category
Cloud Infrastructure
Authentication
None
Endpoints
10 operations
Transport
STDIO
Spec Version
v2017-11-11-preview
Install Command
npx -y @mcp/azure-com-migrate

Environment Variables

AZURE_MIGRATE_API_KEY

Example: your_azure_migrate_api_key

Top Endpoints

GET
/providers/Microsoft.Migrate/operations

Get list of operations supported in the API.

GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Migrate/projects/{projectName}/assessments

Get all assessments created in the project.

GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Migrate/projects/{projectName}/groups

Get all groups

GET
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Migrate/projects/{projectName}/groups/{groupName}

Get a specific group.

PUT
/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Migrate/projects/{projectName}/groups/{groupName}

Create a new group with specified settings. If group with the name provided already exists, then the existing group is updated.

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📖 Detailed MCP Integration Guide

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

Capabilities & Use Cases
Azure Migrate is a comprehensive cloud migration service provided by Microsoft, designed to simplify the complex process of transitioning on-premises infrastructure, applications, and data to the Azure cloud platform. This API serves as the programmatic backbone of the service, enabling developers and automated systems to interact with the migration lifecycle at scale. Its core capabilities include the discovery and assessment of on-premises servers, databases, web applications, and virtual desktops, as well as the orchestration and tracking of migration waves. Enterprise customers leverage this API to build customized migration dashboards, integrate migration tracking into their existing IT service management tools, and automate the generation of readiness assessments and cost optimization reports. By providing a structured, endpoint-driven interface, the API transforms migration from a manual, project-based endeavor into a manageable, API-driven operational process.
🤖AI Agent Value
When exposed as tools within an AI coding assistant via the Model Context Protocol (MCP), the Azure Migrate API becomes a powerful accelerator for infrastructure-as-code and migration workflow automation. An AI agent gains the ability to directly query and manipulate the migration project's state, bridging the gap between natural language intent and complex cloud resource management. The value lies in the AI's capacity to understand high-level migration goals and translate them into precise API calls, drastically reducing the boilerplate code developers would otherwise write. For instance, an AI could dynamically fetch the latest assessment data to answer a query about migration costs, or programmatically create a new migration group to encapsulate a set of related servers identified during discovery. This integration turns the AI assistant into a proactive migration planner and executor, capable of handling repetitive API interactions while the developer focuses on strategic decisions.
💬Example Workflows
Practical workflows enabled by this MCP integration are numerous and impactful. A developer could instruct the AI agent to "query all completed assessments for my migration project and summarize the top five virtual machines with the highest projected cost," prompting the AI to use the GET /assessments endpoint and perform analysis. Another command might be, "create a new group named 'Phase1-WebServers' for all servers tagged with the 'web' role and initiate an assessment," which would have the AI execute the PUT /groups call followed by a PUT /assessments call with appropriate parameters. The AI could also automate cleanup by responding to "delete all inactive groups from the 'DevTest' project," requiring it to first list groups via GET, identify inactive ones, and then call the DELETE endpoint for each. These interactions streamline common tasks like inventory management, assessment generation, and project maintenance, making the migration process more iterative and responsive.
🛡️Security & Auth
Critical to the secure and effective use of this API is proper authentication and authorization. Despite the initial note of "None," the Azure Migrate API inherently requires authentication via Microsoft Entra ID (formerly Azure Active Directory) tokens. Developers must register an application in Azure AD and obtain an OAuth 2.0 token to authenticate requests, typically as a service principal or a user with appropriate permissions. Adhering to the principle of least privilege is paramount; the identity used should be granted only the specific roles needed, such as "Migration Contributor" for the relevant subscription and resource group, rather than broad "Owner" rights. When configuring an MCP server, these credentials must be stored securely, never hard-coded, and rotated regularly. Furthermore, API calls should be monitored through Azure Monitor to audit access patterns and detect anomalies, ensuring that the powerful automation capabilities do not become a security vulnerability.

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