# MCP Server for ETL Orchestration

> Use this tool when you need to orchestrate ETL workflows using natural language commands, enabling seamless control and monitoring of data infrastructure through integration with Airflow, AWS Glue, Athena, and S3. It solves problems of manual workflow management and limited automation, providing a user-friendly interface for LLM agents to input commands and receive output updates on workflow status. Ideal for use cases requiring automated data pipeline management and real-time monitoring.

Canonical page: https://skillsregistry.net/skills/atharvpatwardhan-mcp-server-for-etl-orchestration  
JSON: https://api.skillsregistry.net/v1/skills/atharvpatwardhan-mcp-server-for-etl-orchestration

## Description

Enables natural language-powered ETL workflows using Airflow, AWS Glue, Athena, and S3, allowing LLM agents to control and monitor data infrastructure.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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:** [Glama](https://glama.ai/mcp/servers/s9x3g40t47)
- **Repository:** <https://github.com/atharvpatwardhan/MCP-Server-for-ETL-Orchestration>

## 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": "atharvpatwardhan-mcp-server-for-etl-orchestration"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/atharvpatwardhan-mcp-server-for-etl-orchestration` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/atharvpatwardhan-mcp-server-for-etl-orchestration/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