Skip to content
MCP-Bridge
Cloud InfrastructureNo Auth RequiredAuto OpenAPIQuality Score: 34/99

Azure Migrate MCP Server Integration Guide

Quick Start Architecture Summary

The Azure Migrate MCP server is a Model Context Protocol integration that connects AI assistants (Claude Desktop, Cursor IDE, VS Code, Zed) to the Azure Migrate API through natural language directives. It exposes 10 API operations as callable MCP tools, including Get list of operations supported in the API., Get all assessments created in the project., Get all groups, and more. No authentication is required — operates out of the box immediately. Sourced from the auto Azure Migrate OpenAPI specification (v2017-11-11-preview) with an overall quality score of 34/99.

Technical Overview & Protocol Integration

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.

By converting the OpenAPI 3.0 specification for Azure Migrate into native Model Context Protocol (MCP) tool definitions, developers and AI agents gain programmatic access to endpoints over stdio or HTTP transports. Every endpoint is translated into a discrete tool payload complete with input argument validation, parameter descriptions, and return type definitions.

This setup enables LLM agents to execute multi-step workflows, search records, mutate state, and analyze responses safely within local desktop client sessions like Claude Desktop and Cursor IDE.

2. Technical Specifications Matrix

System Specifications

API NameAzure Migrate
Slug Identifierazure-com-migrate
CategoryCloud Infrastructure
Auth MethodNone Required
Endpoint Count10 tools mapped
Spec VersionOpenAPI v2017-11-11-preview
Transport TypeSTDIO
Publisher Sourceauto

Developer Resources

Hosted Config JSON Registry URL→Claude Desktop Config Guide→

3. Multi-Client Installation Matrix

Copy and paste these pre-formatted JSON snippets into your MCP client configuration files.

Claude Desktop

Add to claude_desktop_config.json

{
  "mcpServers": {
    "azure-com-migrate": {
      "command": "npx",
      "args": [
        "-y",
        "@mcp/azure-com-migrate"
      ],
      "env": {
        "AZURE_MIGRATE_API_KEY": "your_azure_migrate_api_key"
      }
    }
  }
}
Deep link

Cursor IDE

Settings → MCP Servers → Add Hosted Config

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

Saves as .cursor/mcp.json in the download. Move it to your project root.

Deep link install →

VS Code / Cline

Use with MCP extension config

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

4. Environment Variables & Authentication Reference

Key parameters and credential variable mappings for Azure Migrate.

Variable NameRequiredExample Value
AZURE_MIGRATE_API_KEYREQUIREDyour_azure_migrate_api_key

5. Endpoints & Tool Schemas Matrix

Search and inspect the 10 tool signatures mapped from OpenAPI.

Executable Code Integration Examples

Call Azure Migrate endpoints via cURL, TypeScript, or Python REST SDKs.

curl -X GET "https://api.apis.guru/v2/specs/azure.com/migrate/2017-11-11-preview/swagger.json/providers/Microsoft.Migrate/operations" \
  -H "Content-Type: application/json" \
  # No auth required

6. Real-World AI Assistant Prompts

Prompt directives for invoking Azure Migrate operations inside AI client chats.

1. Information Search & Resource Querying

Read Query

"Use Azure Migrate MCP server tools to search resources matching path '/providers/Microsoft.Migrate/operations' and summarize available properties."

2. Action Execution & API Payload Creation

Action Execution

"Call Azure Migrate operation '/providers/Microsoft.Migrate/operations' with parameters configured for environment testing."

3. Multi-Step API Workflow Automation

Workflow Automation

"Inspect recent responses from Azure Migrate API, extract target identifiers, and format a clean diagnostic report."

4. Introspection & Schema Audit

Introspection

"Retrieve the full OpenAPI tool schema list for Azure Migrate MCP server and generate a technical summary of capabilities."

7. Error Resolution & Troubleshooting Guide

HTTP status codes and JSON-RPC protocol error resolution matrix.

400 Bad Request

Root Cause: Malformed request payload parameters or missing required JSON Schema fields.

Resolution Action: Verify request schema in Section 5 tool specifications before calling operation.

401 Unauthorized

Root Cause: Missing or invalid API key credentials in MCP environment config.

Resolution Action: Define required key in client config under env object.

403 Forbidden

Root Cause: Insufficient scope permissions or unauthorized resource access.

Resolution Action: Check key permissions in developer control panel.

404 Not Found

Root Cause: Resource URL path or requested target ID does not exist.

Resolution Action: Inspect path parameters and resource ID values.

429 Rate Limit Exceeded

Root Cause: Upstream API rate limit quota exceeded.

Resolution Action: Implement exponential backoff retry in tool execution loop.

500 Internal Server Error

Root Cause: Upstream service runtime fault or stdio process crash.

Resolution Action: Inspect STDIO stderr output stream for diagnostic trace.

8. Quality Scorecard & Audit Metadata

Automated evaluation metrics for OpenAPI specification quality.

Quality Grade Index
34
★ Fair Quality Grade
Score Breakdown Checklist
✓Auto-generated specification (+12 pts)
✓OpenAPI 3.0 specification available (+8 pts)
✓10 endpoint schemas (+14 pts)

Similar Cloud Infrastructure APIs

Supabase API MCP

Manage Supabase projects, databases, authentication, and storage through your AI agent.

Cloudflare API MCP

Manage Cloudflare DNS, CDN, Workers, and security settings through your AI agent.

Vercel API MCP

Deploy projects, manage domains, and monitor deployments through your AI agent.

DigitalOcean API MCP

The DigitalOcean API is a comprehensive, RESTful interface provided by DigitalOcean, a leading cloud infrastructure provider focused on simplifying cloud computing for developers, startups, and enterprises. It serves as the programmatic backbone for managing the entire DigitalOcean ecosystem, enabling users to provision, configure, and control cloud resources such as Droplets (virtual private servers), Kubernetes clusters, managed databases, networks, storage volumes, and application platforms. Core capabilities include full lifecycle management of these resources, from creation and scaling to monitoring and deletion, mirroring the functionality available in the DigitalOcean control panel. Its primary use cases range from automating infrastructure setup for CI/CD pipelines and enabling infrastructure-as-code practices to supporting dynamic application scaling and resource optimization for SaaS products, e-commerce sites, and development environments. The API is designed for both developers seeking to automate their cloud operations and businesses that require programmable, scalable cloud infrastructure without the complexity of larger hyperscale providers.

← Back to Directory

Related MCP Server Integrations

Access Analyzer MCP Setup

The AWS Identity and Access Management Access Analyzer API provides a powerful, policy-as-code service that automatically identifies resources accessible from outside your AWS account or organization. At its core, the service continuously evaluates resource-based policies—such as Amazon S3 bucket policies, AWS Identity and Access Management (IAM) roles, Amazon KMS key policies, and AWS Lambda function policies—using logic-based reasoning to determine which resources grant access to unknown external principals. Its primary use case is for security and compliance teams within enterprises to proactively detect unintended data exposure, enforce least privilege principles, and audit cross-account and cross-service access. The API endpoints allow programmatic control to create, configure, and query analyzers, manage archive rules for storing findings, and generate custom policy documents, making it a foundational tool for automating cloud security posture management at scale.

Cloud InfrastructureConfigure →

ADHybridHealthService MCP Setup

The ADHybridHealthService REST API suite, provided by Microsoft as part of the Azure resource provider ecosystem, is the fundamental programmatic interface for managing and querying Azure AD Connect Health. It serves as the command plane for monitoring the health, performance, and configuration of hybrid identity environments that rely on Azure AD Connect to synchronize on-premises Active Directory with Azure Active Directory (now Microsoft Entra ID). Its core capabilities encompass the entire lifecycle of monitoring for these hybrid services. Developers and administrators can use these endpoints to programmatically list, register, and configure health monitoring for their Active Directory Domain Services (AD DS) deployments; retrieve comprehensive health metrics including service status, domain membership, and replication data; access real-time and historical alert data for proactive issue detection; and inspect service configurations to ensure alignment with best practices. Typical enterprise use cases include automating the provisioning and decommissioning of health monitors for large-scale AD DS environments, integrating health telemetry into centralized operational dashboards, triggering automated remediation workflows based on alert data, and conducting detailed audits of hybrid identity infrastructure health and configuration compliance.

Cloud InfrastructureConfigure →

AdvisorManagementClient MCP Setup

The AdvisorManagementClient API, provided by Microsoft Azure, serves as a comprehensive programmatic interface to the Azure Advisor service. This service is a personalized cloud consultant that continuously analyzes your resource configurations and usage patterns to provide actionable recommendations for optimizing your Azure deployments. The core capabilities of this API extend beyond simple querying; it allows enterprises to programmatically generate new recommendation snapshots on-demand, retrieve detailed advice across critical pillars—such as Reliability, Security, Performance, Cost, and Operational Excellence—and manage the lifecycle of recommendation suppressions. Typical use cases include cloud platform teams automating the retrieval of performance bottleneck alerts for high-priority applications, security operations centers programmatically acknowledging and suppressing known, risk-accepted findings to reduce alert fatigue, and finance departments automating the collection of cost optimization recommendations to feed into reporting dashboards. It is an essential tool for any organization practicing Infrastructure as Code (IaC) or FinOps, enabling them to integrate Azure's native optimization insights directly into their management pipelines.

Cloud InfrastructureConfigure →

Amazon API Gateway MCP Setup

Amazon API Gateway is a fully managed service provided by Amazon Web Services (AWS) that enables developers to create, publish, maintain, monitor, and secure APIs at any scale. At its core, the service acts as a front-door for applications to access backend data, business logic, or functionality from your back-end services, such as workloads running on Amazon EC2, code running on AWS Lambda, or any web application. The API facilitates the creation of RESTful APIs and HTTP APIs, offering features like traffic management, authorization and access control, monitoring, and API version management. Enterprise use cases typically involve building scalable microservices architectures, creating unified APIs for diverse mobile and web clients, securely exposing internal business capabilities to partners or public consumers, and implementing intricate request routing and transformation logic. For instance, a company might use API Gateway to orchestrate a single endpoint that interacts with multiple downstream services—a Lambda function for user authentication, a DynamoDB table for data storage, and an EC2-hosted legacy system—to serve a modern mobile application, all while handling throttling, caching, and API key management centrally.

Cloud InfrastructureConfigure →

Amazon AppConfig MCP Setup

Amazon AppConfig, a capability of AWS Systems Manager, provides a fully managed service that enables developers to create, manage, and safely deploy application configurations. Its core purpose is to decouple configuration data from code, allowing for dynamic changes without requiring redeployment of application binaries. The API facilitates the definition of application configurations, environments (such as "dev," "staging," and "prod"), and deployment strategies that control the rollout pace and error thresholds. Key enterprise use cases include feature flagging to enable or disable features for specific user segments, operational tuning (like adjusting concurrency limits or timeouts), A/B testing by directing traffic to different configuration variants, and rapid, safe rollback of configuration changes in response to incidents. The service's built-in validation checks and monitoring ensure configuration integrity and observability across the deployment lifecycle.

Cloud InfrastructureConfigure →
← View Azure Migrate Directory Entry