# Databricks MCP Server

> Use this tool when you need to securely integrate AI assistants with Databricks workspaces, enabling interactions such as cluster management, SQL execution, and job operations through OAuth authentication. It solves problems related to secure data access and management, and provides a custom prompt interface for AI assistants to input commands and receive outputs. Ideal for use cases requiring automated data processing, analysis, and visualization within Databricks environments.

Canonical page: https://skillsregistry.net/skills/pulkitxchadha-awesome-databricks-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pulkitxchadha-awesome-databricks-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):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c2rt5tpvxi)
- **Repository:** <https://github.com/PulkitXChadha/awesome-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": "pulkitxchadha-awesome-databricks-mcp"
    }
  }
}
```

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