# Databricks MCP Server

> Use this tool when you need to integrate AI assistants with Databricks workspaces, enabling secure interaction and management of clusters, SQL execution, and job operations through custom prompts and OAuth authentication. It solves problems related to data access, cluster management, and job automation, providing a seamless interface for AI agents to interact with Databricks resources. Ideal for use cases requiring secure and programmatic access to Databricks workspaces, such as data analysis, machine learning, and data science applications.

Canonical page: https://skillsregistry.net/skills/not4yazwz-databricks-custom-mcp  
JSON: https://api.skillsregistry.net/v1/skills/not4yazwz-databricks-custom-mcp

## Description

Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for cluster management, SQL execution, and job operations via the Databricks SDK.

## Trust

- **Trust score (0–1):** 0.78
- **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/u26y8bskq2)
- **Repository:** <https://github.com/not4yazwz/databricks_custom_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": "not4yazwz-databricks-custom-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/not4yazwz-databricks-custom-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/not4yazwz-databricks-custom-mcp/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