MCP-Server-Azure-Impact-Reporting

MCP-Server-Azure-Impact-Reporting

3.3
cloud_platformsai_chatbot

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The Azure Impact Reporting MCP server enables LLMs to report impacts to Azure resources, facilitating automatic parsing and submission of reports for Azure infrastructure issues.

The Azure Impact Reporting MCP server is designed to enable large language models (LLMs) to report impacts to Azure resources. This server allows LLMs to automatically parse user requests, understand the required parameters, and submit reports to Azure when customers face issues with Azure infrastructure. The server supports various impact categories such as connectivity, performance, availability, and unknown issues. It uses the Azure Management API to create workload impact reports and handles parameter extraction from natural language requests, asking for additional details if necessary. The server requires Python 3.8+, the Model Context Protocol package with CLI support, azure-identity for authentication, and httpx for making HTTP requests.

Features

  • Exposes a tool to report resource impacts to Azure
  • Automatically authenticates with Azure using DefaultAzureCredential
  • Creates workload impact reports via the Azure Management API
  • Handles parameter extraction from natural language requests
  • Can ask for additional details if the request is missing required information

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