# Databricks

> Use this tool when you need to interact with Databricks environments using natural language, enabling you to run SQL queries, manage jobs, and retrieve job information. It solves problems for data analysts and engineers by providing a conversational interface to Databricks workspaces, accepting natural language inputs and returning formatted query results as markdown tables. It is ideal for use cases where ease of access and simplified interaction with Databricks SQL warehouses and job management systems are required.

Canonical page: https://skillsregistry.net/skills/jordi-neil-databricks  
JSON: https://api.skillsregistry.net/v1/skills/jordi-neil-databricks

## Description

Databricks MCP Server provides a bridge between LLMs and Databricks environments, enabling natural language interaction with SQL warehouses and job management systems. The implementation offers tools to run SQL queries, list jobs, check job statuses, and retrieve detailed job information through a FastAPI-based MCP server that connects to the Databricks SQL connector and REST API. It handles authentication via personal access tokens stored in environment variables and formats query results as markdown tables, making it particularly valuable for data analysts and engineers who need to interact with their Databricks workspaces through conversational AI interfaces.

## 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:** [PulseMCP](https://www.pulsemcp.com/servers/jordi-neil-databricks)
- **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": "jordi-neil-databricks"
    }
  }
}
```

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