# Azure Table Storage

> Use this tool when you need to store, retrieve, or query large-scale semi-structured data in the cloud, such as log data, user profiles, or IoT telemetry. It provides a standardized interface for interacting with Azure Table Storage, handling complexities like authentication and query optimization. Ideal for developers and AI systems working within the Azure ecosystem, it enables efficient data management and processing for various use cases.

Canonical page: https://skillsregistry.net/skills/zenturacp-azure-table-storage  
JSON: https://api.skillsregistry.net/v1/skills/zenturacp-azure-table-storage

## Description

This Azure Table Storage MCP server, developed by Christia Pedersen, provides AI assistants with a standardized interface to interact with Azure Table Storage. Built using TypeScript and leveraging the @azure/data-tables library, it offers capabilities for storing, retrieving, and querying structured data in the cloud. The server abstracts the complexities of Azure Table Storage operations, handling authentication, data serialization, and query optimization. It's particularly valuable for developers and AI systems working with large-scale, semi-structured data, enabling use cases such as log data storage, user profile management, and IoT telemetry processing within the Azure ecosystem.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zenturacp-azure-table-storage)
- **Repository:** <https://github.com/dkmaker/mcp-azure-tablestorage>

## 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": "zenturacp-azure-table-storage"
    }
  }
}
```

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