SiteRecoveryManagementClient MCP Server Integration Guide
Section A: Quick Answer & Architectural Summary
The SiteRecoveryManagementClient Model Context Protocol (MCP) integration bridges AI coding assistants to the SiteRecoveryManagementClient developer tools API. It exposes 10 validated endpoint operations as callable tools for Claude Desktop, Cursor, and VS Code. Configuration is managed via hosted registry at /config/azure-com-recoveryservicessiterecovery-service.json or local stdio bridge execution. Operates with zero authentication credentials out of the box. Contains 3 mutating operations (POST/PUT/DELETE); user confirmation is recommended before triggering write operations.
MCPBridge Editorial Verdict: SiteRecoveryManagementClient
AI coding workflows requiring programmatic access to SiteRecoveryManagementClient (Developer Tools) endpoints
Low (1-2 mins)
Zero Authentication Required
Automated Spec Tracking
Claude Desktop, Cursor IDE, VS Code (Cline), Zed Editor
Read & Mutating endpoints; client confirmation and least-privilege token recommended
MCPBridge rates SiteRecoveryManagementClient as a standardized OpenAPI-to-MCP bridge providing structured tool definitions across 10 endpoints.
Technical Overview & Protocol Integration
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.
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.
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.
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.
By translating the OpenAPI 3.0 specification for SiteRecoveryManagementClient 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.
2. Technical Specifications Matrix
System Specifications
| API Name | SiteRecoveryManagementClient |
| Slug Identifier | azure-com-recoveryservicessiterecovery-service |
| Category | Developer Tools |
| Auth Method | None Required |
| Endpoint Count | 10 tools mapped |
| Spec Version | OpenAPI v2016-08-10 |
| Transport Type | STDIO |
| Publisher Source | auto |
Developer Resources
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-recoveryservicessiterecovery-service": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-openapi",
"https://api.apis.guru/v2/specs/azure.com/recoveryservicessiterecovery-service/2016-08-10/swagger.json"
],
"env": {
"SITERECOVERYMANAGEMENTCLIENT_API_KEY": "your_siterecoverymanagementclient_api_key"
}
}
}
}Cursor IDE
Settings → MCP Servers → Add Hosted Config
{
"mcpServers": {
"azure-com-recoveryservicessiterecovery-service": {
"url": "https://mcpbridge.org/config/azure-com-recoveryservicessiterecovery-service.json"
}
}
}Saves as .cursor/mcp.json in the download. Move it to your project root.
VS Code / Cline
Use with MCP extension config
{
"mcpServers": {
"azure-com-recoveryservicessiterecovery-service": {
"url": "https://mcpbridge.org/config/azure-com-recoveryservicessiterecovery-service.json"
}
}
}4. Security Architecture & Credentials Reference
Key parameters and credential variable mappings for SiteRecoveryManagementClient.
Security Considerations & Sandbox Guidance: SiteRecoveryManagementClient
Authorization credential isolation, least privilege boundaries, and container sandboxing options.
None Required
Read & Mutating Operations
Local MCP bridge process making outbound HTTPS requests to upstream API
Isolation & Principle of Least Privilege
Ensure outbound network access to the API endpoint is permitted. Use restricted API tokens with minimal read/write scopes.
Actionable Operational Guidelines
- Verify network firewall rules allow outbound traffic to upstream API endpoints.
- Review arguments for mutating endpoints (/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{resourceName}/replicationAlertSettings/{alertSettingName}, /Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{resourceName}/replicationFabrics/{fabricName}, /Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{resourceName}/replicationFabrics/{fabricName}) before execution.
- Apply token rate limits and monitor usage in your provider dashboard to prevent unexpected quota consumption.
| Variable Name | Required | Example Value |
|---|---|---|
| SITERECOVERYMANAGEMENTCLIENT_API_KEY | REQUIRED | your_siterecoverymanagementclient_api_key |
5. Endpoints & Tool Schemas Matrix
Search and inspect the 10 tool signatures mapped from OpenAPI.
Executable Code Integration Examples
Call SiteRecoveryManagementClient endpoints via cURL, TypeScript, or Python REST SDKs.
curl -X GET "https://api.apis.guru/v2/specs/azure.com/recoveryservicessiterecovery-service/2016-08-10/swagger.json/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/operations" \
-H "Content-Type: application/json" \
# No auth requiredConcrete Real-World Use Cases for SiteRecoveryManagementClient
Practical multi-step agentic workflows and prompt directives demonstrating concrete developer outcomes.
Automated Contextual Workflow Integration
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.
- AI assistant inspects prompt context and selects relevant tool
- Validates parameter payload against OpenAPI JSON Schema
- Executes tool call and formats structured API response
Data Inspection & Resource Querying
Query SiteRecoveryManagementClient resources such as "/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/operations" to retrieve contextual data directly during coding sessions.
- Agent selects /Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/operations tool
- Passes search filters or resource identifiers
- Renders JSON payload in chat context for developer review
Automated Mutation & Resource Creation
Execute state changes and create records through PUT operations like "/Subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{resourceName}/replicationAlertSettings/{alertSettingName}" with parameter validation.
- Agent constructs validated request body matching schema
- Prompts user for execution confirmation
- Executes tool and confirms response status
Good Fit vs. Poor Fit Criteria for SiteRecoveryManagementClient
Architectural guidelines to determine when to adopt this integration and when to explore alternatives.
When to Choose / Good Fit
- AI coding assistants in Claude Desktop or Cursor requiring structured tool access to SiteRecoveryManagementClient.
- Developers who want standardized OpenAPI-to-MCP translation without building custom server code.
- Workflows that benefit from automated parameter validation against official OpenAPI 3.0 schemas.
- Teams seeking zero-maintenance hosted JSON configurations for easy distribution.
When to Avoid / Poor Fit
- Ultra-high frequency data ingestion exceeding typical LLM context windows and token rate limits.
- Unattended autonomous agent loops with write access where human approval of mutations is mandatory.
- Environments lacking outbound internet access to upstream SiteRecoveryManagementClient API servers.
Verification & Evidence Audit: SiteRecoveryManagementClient
OpenAPI 3.0 specification parsed and validated via automated build pipeline.
Independent Evidence Checks
Valid specification version 2016-08-10 with 10 endpoints indexed.
No authentication required.
JSON Schemas mapped to MCP tools/call standard format.
Automated schema validation only; live upstream API calls require developer credentials.
Project Health & Maintenance Audit: SiteRecoveryManagementClient
ActiveActivity & Cadence
Transparent Quality Score Breakdown
Alternatives & Comparison Table (Developer Tools)
Comparative trade-offs between SiteRecoveryManagementClient and similar ecosystem tools in the Developer Tools category.
| Option | Best For | Main Difference vs. SiteRecoveryManagementClient | Setup / Runtime | Explore |
|---|---|---|---|---|
| ACE Provisioning ManagementPartner | Developers needing Developer Tools operations with 6 tools | 6 endpoints vs 10 endpoints | auto / v2018-02-01 | View → |
| Acko General Insurance Limited | Developers needing Developer Tools operations with 3 tools | 3 endpoints vs 10 endpoints | auto / v3.0.0 | View → |
| Adobe Experience Manager (AEM) API | Developers needing Developer Tools operations with 10 tools | 10 endpoints vs 10 endpoints | auto / v3.7.1-pre.0 | View → |
9. Error Resolution & Troubleshooting Guide
Contextual diagnostics for HTTP status codes and JSON-RPC tool bridge operations.
-32600 (Invalid Request)Root Cause: Malformed JSON-RPC payload sent to local MCP bridge process.
Resolution Action: Verify MCP client payload adheres to JSON-RPC 2.0 specification.
-32601 (Method Not Found)Root Cause: Requested operation does not exist in mapped SiteRecoveryManagementClient OpenAPI endpoint schemas.
Resolution Action: Inspect Section 5 endpoints table to confirm valid method names and paths.
-32602 (Invalid Params)Root Cause: Missing or invalid parameters for target tool operation.
Resolution Action: Check parameter data types against OpenAPI JSON Schema specification.
429 Rate Limit ExceededRoot Cause: Upstream SiteRecoveryManagementClient API request rate limit quota reached.
Resolution Action: Implement exponential backoff in tool execution loop or verify provider plan quotas.
OPENAPI_GATEWAY_TIMEOUTRoot Cause: Upstream SiteRecoveryManagementClient endpoint response latency exceeded timeout threshold.
Resolution Action: Verify network connectivity and check provider system status dashboard.
Official Verified Sources for SiteRecoveryManagementClient
Authoritative upstream repositories, specifications, package registries, and configuration endpoints.
OpenAPI 3.0 Specification
Machine-readable OpenAPI schema source used for MCP tool mapping.
https://api.apis.guru/v2/specs/azure.com/recoveryservicessiterecovery-service/2016-08-10/swagger.jsonHosted MCPBridge Configuration
Pre-generated Model Context Protocol JSON configuration hosted on MCPBridge.
https://mcpbridge.org/config/azure-com-recoveryservicessiterecovery-service.jsonOpenAPI-to-MCP Converter Tool
Client-side browser converter to customize or filter endpoint tools.
https://mcpbridge.org/convert/Claim & Maintainer Verification
Submit a claim to verify API publisher ownership and update metadata.
https://github.com/stormlive-ai/mcp-bridge-docs/issues/new?title=Claim+Listing%3A+SiteRecoveryManagementClient+%28api%3A+azure-com-recoveryservicessiterecovery-service%29&labels=claim-listing&body=%23%23+Claim+Listing+Request%0A%0AI+would+like+to+claim+this+listing%3A%0A%0A-+**Type%3A**+api%0A-+**ID%3A**+azure-com-recoveryservicessiterecovery-service%0A-+**Name%3A**+SiteRecoveryManagementClient%0A%0A%23%23%23+Your+Information%0A%0A**GitHub+Handle%3A**+%3C%21--+your+GitHub+username+--%3E%0A%0A**Email%3A**+%3C%21--+optional%2C+for+verification+--%3E%0A%0A**Relationship+to+this+API%3A**%0A-+%5B+%5D+I+am+the+API+provider+%2F+maintainer%0A-+%5B+%5D+I+am+an+authorized+representative%0A-+%5B+%5D+Other%3A%0A%0A%23%23%23+Verification+Method%0A-+%5B+%5D+I+will+add+a+CNAME%2FTXT+record+to+verify+domain+ownership%0A-+%5B+%5D+I+can+confirm+from+an+email+address+at+the+provider+domain%0A-+%5B+%5D+I+maintain+the+GitHub+repository%0A%0A%23%23%23+Updates+I%27d+Like+to+Make+%28optional%29%0A%3C%21--+What+would+you+like+to+update%3F+Description%2C+links%2C+category%2C+etc.+--%3E%0A%0A---%0A*Submitted+via+MCP-Bridge+claim+form*Frequently Asked Technical Questions: SiteRecoveryManagementClient
Targeted developer questions regarding installation, client configuration, credentials, and error resolution.
The SiteRecoveryManagementClient MCP server connects AI coding assistants (Claude Desktop, Cursor, VS Code, Zed) to the SiteRecoveryManagementClient API using the Model Context Protocol. It converts 10 OpenAPI operations into native MCP tools callable during chat sessions.