# azure-adf-mcp

> Use this tool when you need to integrate Azure Data Factory operations into language models, enabling tasks like triggering pipelines, monitoring runs, and inspecting datasets through natural language inputs. It solves problems related to automating data workflows, monitoring data pipeline health, and retrieving data factory summaries. The tool accepts natural language commands as input and returns relevant data factory information as output.

Canonical page: https://skillsregistry.net/skills/nachiketap11-azure-adf-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nachiketap11-azure-adf-mcp

## Description

An MCP server that exposes Azure Data Factory operations as tools any LLM can call — trigger pipelines, monitor runs, inspect datasets, and get factory health summaries through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jbbafdli6u)
- **Repository:** <https://github.com/nachiketap11/azure-adf-mcp>

## 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": "nachiketap11-azure-adf-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nachiketap11-azure-adf-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nachiketap11-azure-adf-mcp/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