# Databricks MCP Server App

> Use this tool when you need to interact with Databricks workspace services, such as SQL warehouses and AI/BI dashboards, using natural language queries. It solves problems related to resource management and querying by exposing over 80 tools via a user-friendly interface. The Databricks MCP Server App takes natural language inputs and outputs query results, making it ideal for use cases that require streamlined interaction with Databricks resources.

Canonical page: https://skillsregistry.net/skills/rohit-db-databricks-mcp-app  
JSON: https://api.skillsregistry.net/v1/skills/rohit-db-databricks-mcp-app

## Description

Deploys the Databricks AI Dev Kit MCP server as a Databricks App, exposing over 80 tools for interacting with workspace services like SQL warehouses, Unity Catalog, and AI/BI dashboards. It enables users to manage and query Databricks resources via natural language in the AI Playground using a Streamable HTTP transport.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **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/khqu9pr563)
- **Repository:** <https://github.com/rohit-db/databricks-mcp-app>

## 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": "rohit-db-databricks-mcp-app"
    }
  }
}
```

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