# mcp-server-unitycatalog

> Use this tool when you need to integrate AI assistants with Unity Catalog functions, enabling them to manage and interact with functions through a standardized Model Context Protocol server interface. This tool solves problems related to function management, providing capabilities to list, get, create, and delete functions within Unity Catalog. It is ideal for use cases requiring seamless interaction between AI agents and Unity Catalog functions, streamlining workflow automation and optimization.

Canonical page: https://skillsregistry.net/skills/ognis1205-mcp-server-unitycatalog  
JSON: https://api.skillsregistry.net/v1/skills/ognis1205-mcp-server-unitycatalog

## Description

A Model Context Protocol server that provides access to Unity Catalog Functions, allowing AI assistants to list, get, create, and delete functions within Unity Catalog directly through a standardized interface.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rr69b233vd)
- **Repository:** <https://github.com/ognis1205/mcp-server-unitycatalog>

## 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": "ognis1205-mcp-server-unitycatalog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ognis1205-mcp-server-unitycatalog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ognis1205-mcp-server-unitycatalog/pull`

---
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
