# Databricks MCP Server

> Use this tool when you need to interact with Databricks workspaces using natural language, enabling large language models (LLMs) to execute SQL queries and manage jobs. It solves problems related to complex query execution and job management by providing a simple and intuitive interface. The Databricks MCP Server takes natural language inputs and returns query results and job status outputs, ideal for use cases where ease of use and automation are crucial.

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

## Description

A Model Context Protocol server that enables LLMs to interact with Databricks workspaces through natural language, allowing SQL query execution and job management operations.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gslv6zuxt9)
- **Repository:** <https://github.com/JordiNeil/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": "jordineil-mcp-databricks-server"
    }
  }
}
```

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