# Unity Catalog

> Use this tool when you need to semantically discover and search Databricks Unity Catalog assets using natural language queries. It solves problems of data discovery and asset management by indexing table schemas, column descriptions, and data lineage, providing relevant search results. The tool takes in natural language queries as input and outputs relevant catalog assets, making it ideal for use cases where data discovery and exploration are critical.

Canonical page: https://skillsregistry.net/skills/icerhymers-unity-catalog  
JSON: https://api.skillsregistry.net/v1/skills/icerhymers-unity-catalog

## Description

Enables semantic discovery of Databricks Unity Catalog assets through natural language queries using BGE-large embeddings and pgvector. Indexes table schemas, column descriptions, and data lineage for search. Deployed as a Databricks App with Python implementation.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/icerhymers-unity-catalog)
- **Repository:** <https://github.com/icerhymers/uc-catalog-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": "icerhymers-unity-catalog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/icerhymers-unity-catalog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/icerhymers-unity-catalog/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