# Databricks MCP Server

> Use this tool when you need to explore and analyze data in Databricks, execute SQL queries, and discover data lineage. It enables AI agents to autonomously discover and query data, solving problems related to data discovery and analysis. The tool takes in metadata and SQL queries as inputs and outputs analyzed data lineage and query results.

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

## Description

Enables AI agents to explore Unity Catalog metadata, execute SQL queries, and analyze data lineage including notebooks and jobs, empowering autonomous data discovery and query generation in Databricks.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ju2panpotn)
- **Repository:** <https://github.com/proxziima/mcp-databricks-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": "proxziima-mcp-databricks-server"
    }
  }
}
```

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