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Azurehelp Mcp Server
What is Azurehelp Mcp Server
The Azure Troubleshooter MCP Server is an implementation of the Model Context Protocol (MCP) that enables intelligent agents to troubleshoot Azure resources using the Azure Self Help API. It automates common diagnostic workflows, allowing AI applications to assist users in resolving issues with Azure services interactively.
Use cases
One practical use case is when a user is unable to SSH into their Azure VM. The MCP Server can guide the user step-by-step through the troubleshooting process using Microsoft’s Guided Troubleshooter API, helping to identify the cause and suggest potential fixes.
How to use
To use the MCP Server, you need to set it up by installing necessary packages, including ModelContextProtocol, Azure Resource Manager, and Azure Identity. You then create an MCP Server in your application, implement various troubleshooting tools, and connect it to an MCP-compatible host like Claude for real-time interaction with Azure diagnostics.
Key features
The MCP Server provides several key features, including the ability to create a troubleshooter session, view the current step of the troubleshooting process, continue dialog with the system by responding to questions, and end or restart the session. It leverages DefaultAzureCredential for seamless authentication with Azure services.
Where to use
This tool can be used within any environment that supports the Model Context Protocol (MCP), specifically for applications that require Azure resource management and troubleshooting. Ideal use cases include AI applications, cloud support tools, and integrated development environments where Azure services are managed.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Azurehelp Mcp Server
The Azure Troubleshooter MCP Server is an implementation of the Model Context Protocol (MCP) that enables intelligent agents to troubleshoot Azure resources using the Azure Self Help API. It automates common diagnostic workflows, allowing AI applications to assist users in resolving issues with Azure services interactively.
Use cases
One practical use case is when a user is unable to SSH into their Azure VM. The MCP Server can guide the user step-by-step through the troubleshooting process using Microsoft’s Guided Troubleshooter API, helping to identify the cause and suggest potential fixes.
How to use
To use the MCP Server, you need to set it up by installing necessary packages, including ModelContextProtocol, Azure Resource Manager, and Azure Identity. You then create an MCP Server in your application, implement various troubleshooting tools, and connect it to an MCP-compatible host like Claude for real-time interaction with Azure diagnostics.
Key features
The MCP Server provides several key features, including the ability to create a troubleshooter session, view the current step of the troubleshooting process, continue dialog with the system by responding to questions, and end or restart the session. It leverages DefaultAzureCredential for seamless authentication with Azure services.
Where to use
This tool can be used within any environment that supports the Model Context Protocol (MCP), specifically for applications that require Azure resource management and troubleshooting. Ideal use cases include AI applications, cloud support tools, and integrated development environments where Azure services are managed.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
🧠 Azure Self Help MCP Server
Welcome to the Azure Troubleshooter MCP Server – a hands-on implementation of Model Context Protocol (MCP), designed to enable intelligent agents (like Claude or Semantic Kernel) to troubleshoot Azure resources step-by-step using the Azure Self Help API.
In short: it lets your AI app talk to Azure’s Guided Troubleshooter, automating common diagnostic workflows.
💡 What Is This?
This project implements an MCP Server that exposes Azure’s Self Help API as a toolset. Once connected to an MCP Host (like Claude Desktop or an SK App), you can ask the agent to:
- Create a troubleshooter session
- View its current step
- Continue the flow with your response
- End or restart the session
Think of this as your interactive AI assistant for Azure diagnostics.
✨ Live Demo Use Case
❓ “I can’t SSH into my Azure VM.”
This tool lets an LLM walk you through possible causes and fixes interactively using Microsoft’s Guided Troubleshooter API.

🧰 Prerequisites
- .NET 8 SDK
- Azure CLI (logged in)
- Claude App or any MCP Host
- IDE / Terminal
📦 Setup
Step 1: Install Packages
dotnet add package ModelContextProtocol --prerelease dotnet add package Microsoft.Extensions.Hosting dotnet add package Azure.ResourceManager.SelfHelp dotnet add package Azure.Identity
Step 2: Create Your MCP Server
In Program.cs:
var builder = Host.CreateEmptyApplicationBuilder(settings: null);
builder.Services.AddMcpServer()
.WithStdioServerTransport()
.WithToolsFromAssembly(); // Registers [McpServerTool] methods
var app = builder.Build();
await app.RunAsync();
Step 3: Write Your MCP Tools
In AzureTroubleshooterTools.cs:
[McpServerToolType]
public static class AzureTroubleshooterTools
{
[McpServerTool, Description("Create a troubleshooter session")]
public static async Task<string> CreateTroubleshooter([Description("Resource Uri of the azure resource")]string scope)
{
string solutionId = "e104dbdf-9e14-4c9f-bc78-21ac90382231"; // this is solutionId for vm ssh issue. This id can be found using Discovery API of Azure Help, which will also be part of this MCP Server
string troubleshooterName = Guid.NewGuid().ToString();
var client = new ArmClient(new DefaultAzureCredential());
var troubleshooterId = SelfHelpTroubleshooterResource.CreateResourceIdentifier(scope, troubleshooterName);
var troubleshooter = client.GetSelfHelpTroubleshooterResource(troubleshooterId);
var data = new SelfHelpTroubleshooterData
{
SolutionId = solutionId,
Parameters = { ["ResourceURI"] = scope }
};
ArmOperation<SelfHelpTroubleshooterResource> lro = await troubleshooter.UpdateAsync(WaitUntil.Completed, data);
return $"Troubleshooter created with ID: {lro.Value.Data.Id}";
}
// Tools: Get, Continue, End, Restart...
}
🤖 MCP Config for Claude or Other Hosts
To connect your MCP Server with an MCP-compatible app like Claude, update your config file (in Claude Desktop: Settings > Developer):
{
"mcpServers": {
"azurehelpTroubleshooter": {
"command": "dotnet",
"args": [
"run",
"--project",
"/Users/yourname/Projects/AzureTroubleshooterServer",
"--no-build"
]
}
}
}
Once saved and restarted, Claude will detect your tools — ready to assist with Azure diagnostics! ✅
🧪 Available Tools
| Method | Description |
|---|---|
CreateTroubleshooter |
Start a new troubleshooter session for a resource |
GetTroubleshooterStep |
View current step & instructions |
ContinueTroubleshooter |
Respond to the current step’s question |
EndTroubleshooter |
End the session |
RestartTroubleshooter |
Start over from step one |
🛡 Authentication
Uses DefaultAzureCredential, so it works out-of-the-box with:
- Azure CLI
- Environment variables
- Managed Identity
🧠 Why This Matters
Model Context Protocol (MCP) is revolutionizing how LLMs communicate with tools. By building an MCP Server for Azure Help APIs, you can:
- Make Azure debugging agent-native
- Empower AI apps with cloud intelligence
- Extend to other Microsoft APIs with the same structure
📎 Related Blogs
- Build an AI App That Can Browse the Internet Using Playwright MCP Server
- Step-by-Step Guide to MCP Servers
🙌 Acknowledgements
Thanks to the amazing Azure SDK team and the creators of MCP for making this kind of developer magic possible. ✨
- https://learn.microsoft.com/en-us/rest/api/help/
- https://docs.anthropic.com/en/docs/agents-and-tools/mcp
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










