Azure Impact Reporter
The Azure Impact Reporting MCP server enables large language models to report infrastructure issues to Azure on behalf of customers. Built by Chand45, this Python implementation authenticates with Azure using DefaultAzureCredential and creates workload impact reports via the Azure Management API. The server exposes a tool that accepts subscription details, resource information, and impact categories (connectivity, performance, availability), then submits standardized reports through Azure's workload impacts endpoint. It's particularly useful for AI assistants that need to help users report Azure resource problems without requiring them to navigate complex Azure reporting processes manually.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve Azure Impact Reporter from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.