# Databricks MCP Server

> Use this tool when you need to enable large language models (LLMs) to query Databricks datasets using natural language, eliminating the need for manual SQL coding. It solves the problem of complex data querying by providing a Model Context Protocol (MCP) server that translates natural language questions into actionable insights. This tool is ideal for use cases where business users require easy access to data analytics without requiring technical expertise.

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

## Description

A Model Context Protocol server that lets LLM clients answer business questions in natural language over a Databricks dataset without writing SQL by hand.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m6zu82u804)
- **Repository:** <https://github.com/OliveriGuido/databricks-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": "oliveriguido-databricks-mcp"
    }
  }
}
```

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