# Databricks MCP Server

> Use this tool when you need to integrate AI assistants with Databricks workspaces, enabling secure execution of Python-based tools and management of prompts through markdown files. It solves problems related to workflow automation, data processing, and AI model deployment, providing a seamless interface for users to interact with Databricks resources. By hosting MCP prompts and tools on Databricks Apps, it streamlines workflow management and enhances collaboration.

Canonical page: https://skillsregistry.net/skills/elliottatran-mcp-db  
JSON: https://api.skillsregistry.net/v1/skills/elliottatran-mcp-db

## Description

Enables AI assistants to interact with Databricks workspaces by hosting secure MCP prompts and tools on Databricks Apps. It allows users to execute Python-based tools using the Databricks SDK and manage prompts through simple markdown files.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xtpgn29r9c)
- **Repository:** <https://github.com/elliottatran/mcp_db>

## 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": "elliottatran-mcp-db"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/elliottatran-mcp-db` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/elliottatran-mcp-db/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