Azure Resource Management
This MCP server implementation provides a bridge to Azure services, enabling AI assistants to interact with Azure resources through a standardized protocol. Developed by Streen9, it offers tools for managing Azure compute, network, and subscription resources. Built with TypeScript and integrating the Model Context Protocol SDK, the server focuses on secure credential management and supports multiple Azure tenants. It is particularly useful for applications requiring cloud resource management, such as provisioning virtual machines, configuring networks, or monitoring Azure subscriptions. The implementation leverages Azure SDK libraries and provides a flexible interface for executing custom Azure-related code.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/kalivaraprasad-gonapa/azure-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Azure Resource Management 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.