# Azure

> Use this tool when you need to interact with Azure services, such as Azure Blob Storage and Azure Cosmos DB, to manage and manipulate data in a secure and flexible manner. It provides a standardized interface for reading and writing Azure resources using an LLM, supporting various Azure credential types and operation logging for auditing purposes. Ideal for applications and AI assistants that require programmatic access to Azure resources through a familiar MCP interface.

Canonical page: https://skillsregistry.net/skills/mashriram-azure  
JSON: https://api.skillsregistry.net/v1/skills/mashriram-azure

## Description

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.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mashriram-azure)
- **Repository:** <https://github.com/mashriram/azure_mcp_server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mashriram-azure"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mashriram-azure` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mashriram-azure/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt