Azure Impact Reporting
Createdchand45
Enables large language models to report Azure resource impacts by parsing natural language requests and submitting reports to Azure.
About
The Azure Impact Reporting tool allows large language models (LLMs) to seamlessly report infrastructure issues to Azure. It exposes a Model Context Protocol (MCP) server that automatically authenticates with Azure, extracts necessary parameters from user requests expressed in natural language, and generates workload impact reports via the Azure Management API. By supporting various impact categories like connectivity, performance, and availability, this tool streamlines the reporting process, ensuring timely communication of critical issues directly from LLM interfaces.
Key Features
- Supports connectivity, performance, availability, and unknown impact categories.
- Handles parameter extraction from natural language requests.
- Automatically authenticates with Azure using DefaultAzureCredential.
- Reports Azure resource impacts through natural language requests.
- Creates workload impact reports via the Azure Management API.
- 2 GitHub stars
Use Cases
- Enable LLMs to report performance degradation for SQL databases.
- Allow LLMs to report connectivity issues with Azure VMs.
- Permit LLMs to report downtime for App Services.
