# Azure Data Catalog MCP Server By CData

> Use this tool when you need to provide read-only access to Azure Data Catalog metadata, solving data discovery and integration challenges by providing a standardized interface for querying and retrieving catalog data. It accepts queries and returns relevant metadata, enabling seamless interaction with Azure Data Catalog. Ideal for use cases requiring simplified data catalog access and metadata management.

Canonical page: https://skillsregistry.net/skills/cdatasoftware-azure-data-catalog-mcp-server-by-cdata  
JSON: https://api.skillsregistry.net/v1/skills/cdatasoftware-azure-data-catalog-mcp-server-by-cdata

## Description

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Azure Data Catalog (beta): https://www.cdata.com/download/download.aspx?sku=GNZK-V&type=beta

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n9fu09lh0d)
- **Repository:** <https://github.com/CDataSoftware/azure-data-catalog-mcp-server-by-cdata>

## 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": "cdatasoftware-azure-data-catalog-mcp-server-by-cdata"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cdatasoftware-azure-data-catalog-mcp-server-by-cdata` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cdatasoftware-azure-data-catalog-mcp-server-by-cdata/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