Azure
This MCP server, developed by Shriram Madurantakam, provides a standardized interface for interacting with Azure services, specifically Azure Blob Storage and Azure Cosmos DB (NoSQL API). Built with Python and leveraging the Model Context Protocol, it offers tools for reading and manipulating Azure resources using an LLM. The implementation focuses on secure authentication and flexible configuration, supporting various Azure credential types. By connecting AI models with Azure cloud services, this server enables sophisticated data management scenarios, enhancing the ability to store, retrieve, and query data in Azure. It's particularly useful for applications and AI assistants that require programmatic access to Azure resources through a familiar MCP interface, with built-in operation logging for auditing purposes.
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
- database
- Source
- PulseMCP
- Repository
- github.com/mashriram/azure_mcp_server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Azure 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.