# Databricks MCP Server

> Use this tool when you need to manage Databricks resources, such as clusters, jobs, and notebooks, through a natural language interface. It solves problems of automating Databricks workflows and integrating with AI agents, allowing for seamless interaction with Databricks workspaces. The tool takes natural language inputs and outputs Databricks REST API responses, enabling efficient management of Databricks resources.

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

## Description

Exposes Databricks REST API as MCP tools for managing clusters, jobs, notebooks, SQL queries, Unity Catalog, and more. Enables AI agents to interact with Databricks workspaces through natural language.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **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/l0n0erovdl)
- **Repository:** <https://github.com/markov-kernel/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": "markov-kernel-databricks-mcp"
    }
  }
}
```

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