# dagsmith

> dagsmith — tmcwilliam707-dagsmith. Use this tool when you need to generate data pipelines using natural language inputs and manage Snowflake metadata. It provides read-only access to schemas, tables, queries, and lineage, enabling seamless integration with dbt, Airflow, and Great Expectations for automated pipeline creation. Ideal for data engineers and analysts seeking to streamline data workflow generation and validation.

Canonical page: https://skillsregistry.net/skills/tmcwilliam707-dagsmith  
JSON: https://api.skillsregistry.net/v1/skills/tmcwilliam707-dagsmith

## Description

MCP server providing read-only Snowflake metadata tools (schemas, tables, queries, lineage) for agentic data pipeline generation, enabling natural-language-to-pipeline workflows with dbt, Airflow, and Great Expectations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bvpmh4dpvx)
- **Repository:** <https://github.com/tmcwilliam707/dagsmith>

## 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": "tmcwilliam707-dagsmith"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tmcwilliam707-dagsmith` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tmcwilliam707-dagsmith/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