# Databricks MCP Genie

> Use this tool when you need to interact with Databricks workspaces using natural language, enabling AI assistants to execute SQL queries, manage clusters and jobs, and leverage Genie AI and Unity Catalog capabilities. It solves problems related to data analysis, workspace management, and AI model deployment, providing a user-friendly interface for inputting commands and receiving output results. Ideal for use cases requiring efficient and intuitive interaction with Databricks workspaces, streamlining data-driven workflows and decision-making processes.

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

## Description

Enables AI assistants to interact with Databricks workspaces through natural language, supporting SQL queries, cluster management, jobs, Genie AI, Unity Catalog, and more.

## Trust

- **Trust score (0–1):** 0.43
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nwx0283fdw)
- **Repository:** <https://github.com/the-sid-dani/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": "the-sid-dani-databricks-mcp-server"
    }
  }
}
```

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