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MCP-Bridge
Developer ToolsAuto-generatedScore: 34

RecoveryServicesBackupClient MCP Server

The RecoveryServicesBackupClient API, provided by Microsoft as part of its Azure cloud platform, is a comprehensive suite of RESTful endpoints designed to manage and orchestrate backup and recovery operations for enterprise workloads.

Quick Start Summary

The RecoveryServicesBackupClient MCP server is a Model Context Protocol bridge that connects AI assistants — including Claude Desktop, Cursor, Windsurf, and VS Code Copilot — to the RecoveryServicesBackupClient API through natural language. It exposes 10 API endpoints as callable tools, such as BackupEngines_List, BackupEngines_Get, ProtectionContainerRefreshOperationResults_Get, 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-recoveryservicesbackup-bms. This integration is sourced from the auto RecoveryServicesBackupClient OpenAPI specification (v2016-12-01) 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
v2016-12-01
Install Command
npx -y @mcp/azure-com-recoveryservicesbackup-bms

Environment Variables

RECOVERYSERVICESBACKUPCLIENT_API_KEY

Example: your_recoveryservicesbackupclient_api_key

Top Endpoints

GET
/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{vaultName}/backupEngines

BackupEngines_List

GET
/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{vaultName}/backupEngines/{backupEngineName}

BackupEngines_Get

GET
/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{vaultName}/backupFabrics/{fabricName}/operationResults/{operationId}

ProtectionContainerRefreshOperationResults_Get

GET
/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{vaultName}/backupFabrics/{fabricName}/protectableContainers

ProtectableContainers_List

GET
/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{vaultName}/backupFabrics/{fabricName}/protectionContainers/{containerName}

ProtectionContainers_Get

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📖 Detailed MCP Integration Guide

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

⚡Capabilities & Use Cases
The RecoveryServicesBackupClient API, provided by Microsoft as part of its Azure cloud platform, is a comprehensive suite of RESTful endpoints designed to manage and orchestrate backup and recovery operations for enterprise workloads. Its core capabilities center around the administration of backup infrastructure within an Azure Recovery Services vault. This includes the inventory and management of backup engines that perform the actual data protection tasks, the configuration of backup fabrics which represent the logical grouping of protection items and containers (like Hyper-V, VMware, or Azure VMs), and the detailed control of protection containers themselves. Developers and IT administrators use this API to programmatically discover, register, unregister, and query the status of backup-protected items, enabling automated disaster recovery planning, compliance reporting, and scalable management of large-scale backup environments. Typical enterprise use cases involve automating the provisioning of backup policies for newly deployed virtual machines, auditing backup coverage across an organization’s infrastructure, and triggering recovery operations in response to system health events.
🤖AI Agent Value
When this API is exposed as a set of tools through an AI coding assistant via the Model Context Protocol (MCP), it transforms complex, multi-step backup management workflows into conversational, intent-driven operations. An AI agent can directly interact with the cloud backup fabric, abstracting away the verbose URI construction and raw API call mechanics. The value lies in bridging the gap between high-level operational intent and low-level API execution. For instance, a developer can ask the AI to “check the health and status of all backup engines in my production vault” or “list all protectable containers within the Azure fabric for the East US region,” and the AI can translate this into the correct sequence of API calls (like GET /backupEngines or GET /protectableContainers), parse the complex JSON responses, and present a summarized, actionable report. This integration acts as a force multiplier, reducing context-switching, accelerating infrastructure-as-code development, and lowering the cognitive load for managing critical data protection services.
💬Example Workflows
Practical workflow examples demonstrate the dynamic automation possible with this MCP server. A developer could instruct the AI: “In our ‘prod-west’ vault, use the API to discover all protection containers under the ‘Azure’ fabric, then for each container, retrieve its list of protected items to generate a report of all VMs currently backed up.” The AI agent would execute the corresponding GET /protectionContainers and nested GET /items calls, compile the data, and output a structured report. Another dynamic task could be: “For the container named ‘VMContainer01,’ trigger an inquiry operation to refresh its metadata and then poll the operationResults endpoint until the task completes.” This automates a two-step process (POST .../inquire followed by polling GET .../operationResults/{operationId}), which would otherwise require manual scripting to handle the asynchronous nature of the operation. Furthermore, an AI could be tasked to “create a new protection container for my SQL Server database by issuing a PUT request with the required configuration body,” effectively automating the registration of a new workload for backup.
🛡️Security & Auth
It is critical to note that while the endpoint listing specifies “None” for authentication, in a real-world deployment, these Azure Resource Manager-based APIs require robust authentication and authorization. Developers must configure the MCP server with credentials that have the appropriate Microsoft Entra ID (formerly Azure AD) tokens, typically via a service principal or managed identity. Security best practices demand applying the principle of least privilege; the identity should be assigned a specific Azure role, such as “Backup Operator” or “Contributor” scoped only to the relevant Recovery Services vault, rather than broad subscription-wide permissions. All operations should be conducted over HTTPS, and secrets or credentials must be securely managed using tools like Azure Key Vault, never hardcoded. Configuration should also include setting appropriate timeouts and retry policies within the MCP server to handle the potentially long-running nature of backup operations without failure.

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