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MCP-Bridge
Developer ToolsAuto-generatedScore: 34

SiteRecoveryManagementClient MCP Server

The SiteRecoveryManagementClient API is a comprehensive management plane interface provided by Microsoft as part of the Azure Site Recovery service.

Quick Start Summary

The SiteRecoveryManagementClient MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the SiteRecoveryManagementClient API through natural language. It exposes 10 API endpoints as callable tools, such as Returns the list of available operations., Gets the list of configured email notification(alert) configurations., Gets an email notification(alert) configuration., 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-recoveryservicessiterecovery-service. This integration is sourced from the auto SiteRecoveryManagementClient OpenAPI specification (v2016-08-10) and has a quality score of 34/99 (fair documentation coverage).

10Endpointstools mapped
NoneAuthopen access
34/99Qualityfair
~30 secSetupno auth
View Hosted Config URLClaude Desktop Setup Guide

Server Details

Category
Developer Tools
Authentication
None
Endpoints
10 operations
Transport
STDIO
Spec Version
v2016-08-10
Install Command
npx -y @mcp/azure-com-recoveryservicessiterecovery-service

Environment Variables

SITERECOVERYMANAGEMENTCLIENT_API_KEY

Example: your_siterecoverymanagementclient_api_key

Top Endpoints

GET
/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/operations

Returns the list of available operations.

GET
/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{resourceName}/replicationAlertSettings

Gets the list of configured email notification(alert) configurations.

GET
/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{resourceName}/replicationAlertSettings/{alertSettingName}

Gets an email notification(alert) configuration.

PUT
/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{resourceName}/replicationAlertSettings/{alertSettingName}

Configures email notifications for this vault.

GET
/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{resourceName}/replicationEvents

Gets the list of Azure Site Recovery events.

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📖 Detailed MCP Integration Guide

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

⚡Capabilities & Use Cases
The SiteRecoveryManagementClient API is a comprehensive management plane interface provided by Microsoft as part of the Azure Site Recovery service. Its core capability is to enable programmatic control and monitoring of disaster recovery (DR) orchestration and protection for Azure and on-premises workloads. This API serves as the foundational backbone for automating the entire lifecycle of a business continuity and disaster recovery (BCDR) strategy, including the configuration of replication policies, management of protected items, initiation of failover and failback operations, and continuous monitoring of recovery health. Enterprise IT administrators and DevOps engineers use it to automate DR plan provisioning, enforce organizational compliance standards for recovery time objectives (RTO) and recovery point objectives (RPO), and maintain a resilient hybrid cloud infrastructure. It is instrumental in large-scale environments where manual configuration of recovery resources across multiple regions or datacenters is impractical, enabling the definition of infrastructure as code for critical failover scenarios.
🤖AI Agent Value
When this API is exposed as a set of tools within an AI coding assistant via the Model Context Protocol (MCP), it transforms static infrastructure code into a dynamic, context-aware system. An AI agent gains the ability to interact directly with the live state of Azure Site Recovery resources, moving beyond template generation to actual runtime management. This integration provides immense value by allowing developers to offload complex, state-dependent operational tasks to the AI. Instead of manually constructing complex Azure Resource Manager (ARM) templates or navigating the Azure portal for specific configurations, a developer can delegate these tasks conversationally. The AI can query current settings, identify inconsistencies, and apply corrective actions in real-time, effectively serving as an intelligent bridge between developer intent and the execution of cloud infrastructure operations, reducing the cognitive load and potential for human error in managing disaster recovery systems.
💬Example Workflows
In practice, a developer could instruct the AI agent to perform a multitude of dynamic, state-aware tasks. For instance, one could command, "Check all alert settings for my Recovery Services vault and ensure email notifications are enabled for critical replication health alerts." The AI would use the respective GET and PUT endpoints to audit and then update the configuration. Another workflow could be, "List all failed replication events in the last 24 hours across all fabrics in my vault and generate a summary report." The agent would orchestrate calls to the replicationEvents endpoints, parse the responses, and synthesize a digest. Advanced scenarios include instructing the AI to "Provision a new Azure Site Recovery fabric in the East US region, configure it for VMware-to-Azure protection, and apply our standard replication policy," which would require the AI to chain multiple API calls logically, managing dependencies and ensuring proper resource linkage within the Azure resource hierarchy.
🛡️Security & Auth
Proper setup of this MCP server hinges on rigorous attention to authentication and security principles. Since the API itself does not handle authentication, the MCP server implementation must securely integrate with Azure Active Directory (Azure AD) to obtain bearer tokens. Developers must ensure the AI assistant operates with a service principal or managed identity assigned the minimal required Azure role-based access control (RBAC) permissions, such as "Site Recovery Contributor" only for the specific subscription and resource group scope in use. It is critical to avoid granting subscription-wide or highly privileged roles. All interactions should be logged for audit purposes, and secrets or tokens must be managed via a secure vault like Azure Key Vault, never embedded in source code or AI session data. Network security rules, such as Azure Private Link, should be configured to ensure API traffic between the MCP server and Azure management endpoints remains private and is not exposed to the public internet.

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