What impact categories are supported?
The tool supports `Resource.Connectivity`, `Resource.Performance`, `Resource.Availability`, and `Resource.Unknown`.
@chand45
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"MCP-Server-Azure-Impact-Reporting": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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