MCP-Server-Azure-Impact-Reporting

What is MCP-Server-Azure-Impact-Reporting?

This MCP server enables large language models (LLMs) to automatically report resource impacts to Azure. It parses natural language requests, authenticates with Azure using DefaultAzureCredential, and submits workload impact reports via the Azure Management API. It is intended for users who need to quickly report Azure infrastructure issues (e.g., connectivity, performance, availability) without manual API calls.

How to use MCP-Server-Azure-Impact-Reporting?

Clone the repository, install dependencies (mcp[cli] azure-identity httpx), and authenticate with Azure (e.g., az login). Configure your MCP client (e.g., claude_desktop_config.json) with the uv command pointing to the impact-reporter.py script. Once configured, your LLM can submit natural language requests like "Report connectivity issues with my VM named 'web-server' in resource group 'production-rg'." The server parses the request, asks for missing parameters, and creates the impact report.

Key features of MCP-Server-Azure-Impact-Reporting

• Exposes a tool for LLMs to report resource impacts to Azure
• Automatic authentication via DefaultAzureCredential
• Creates workload impact reports through the Azure Management API
• Extracts required parameters from natural language requests
• Asks for additional details when information is missing
• Supports multiple impact categories (Connectivity, Performance, Availability, Unknown)

Use cases of MCP-Server-Azure-Impact-Reporting

• Report connectivity issues with an Azure VM to initiate investigation
• Notify Azure of performance degradation on a SQL database
• Log availability or downtime problems for an App Service
• Automate impact reporting when customers are facing Azure infrastructure issues
• Quickly submit reports without manual API calls by using natural language

FAQ from MCP-Server-Azure-Impact-Reporting

What impact categories are supported?

The tool supports Resource.Connectivity, Resource.Performance, Resource.Availability, and Resource.Unknown.

How does the server authenticate with Azure?

It uses DefaultAzureCredential, which automatically tries Azure CLI, Visual Studio Code Azure Account, Azure PowerShell, or environment variables for service principal authentication.

What Python version and dependencies are required?

Python 3.8+ is required, along with mcp[cli], azure-identity, and httpx.

What API version does the server use?

The server uses the Azure Management API version 2023-12-01-preview.

What happens if a user request is missing required information?

The server will ask for additional details before submitting the report to Azure.