What impact categories are supported?
The tool supports `Resource.Connectivity`, `Resource.Performance`, `Resource.Availability`, and `Resource.Unknown`.
@chand45
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"MCP-Server-Azure-Impact-Reporting": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
The tool supports `Resource.Connectivity`, `Resource.Performance`, `Resource.Availability`, and `Resource.Unknown`.
It uses `DefaultAzureCredential`, which automatically tries Azure CLI, Visual Studio Code Azure Account, Azure PowerShell, or environment variables for service principal authentication.
Python 3.8+ is required, along with `mcp[cli]`, `azure-identity`, and `httpx`.
The server uses the Azure Management API version `2023-12-01-preview`.
The server will ask for additional details before submitting the report to Azure.
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