# Databricks Unity Catalog MCP Server

> Use this tool when you need to access and query Databricks workspace data through AI agents like Claude, enabling you to retrieve metadata, inspect jobs, and query Unity Catalog tables. It solves problems related to data accessibility and integration with large language models. Ideal for use cases where unified data management and AI-driven insights are required.

Canonical page: https://skillsregistry.net/skills/revodatanl-databricks-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/revodatanl-databricks-mcp-server

## Description

Access your Databricks workspace through Claude and other LLMs. Query Unity Catalog tables, inspect jobs, and retrieve detailed metadata.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ih57kcue26)
- **Repository:** <https://github.com/revodatanl/databricks-mcp-server>

## 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": "revodatanl-databricks-mcp-server"
    }
  }
}
```

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