# Claude MCP Data Engineer Server

> Use this tool when you need to streamline data engineering tasks, such as formatting SQL queries or generating dbt models, and analyze data pipelines through natural language interfaces. It solves problems related to data pipeline configuration, ETL lineage, and data analysis, providing outputs like formatted SQL code and summarized data lineage. Ideal for data engineers working with CSV data, Snowflake tables, and dbt models, who require efficient tools for data pipeline management and analysis.

Canonical page: https://skillsregistry.net/skills/itsnikhile-claude-mcp-data-engineer  
JSON: https://api.skillsregistry.net/v1/skills/itsnikhile-claude-mcp-data-engineer

## Description

Provides specialized tools for data engineering tasks like SQL formatting, dbt model generation, and Snowflake table creation. It enables users to analyze CSV data, validate pipeline configurations, and summarize ETL lineage through natural language.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cdx6x8glg4)
- **Repository:** <https://github.com/itsnikhile/claude-mcp-data-engineer>

## 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": "itsnikhile-claude-mcp-data-engineer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/itsnikhile-claude-mcp-data-engineer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/itsnikhile-claude-mcp-data-engineer/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