# Databricks

> Use this tool when you need to interact with Databricks workspaces and data catalogs from AI assistant conversations, solving problems such as querying and analyzing data, and retrieving table information. It takes SQL queries and database object requests as input and returns detailed table information and query results as output. Ideal for data analysts and engineers, Databricks MCP Server provides a standardized interface for executing SQL queries and retrieving data insights.

Canonical page: https://skillsregistry.net/skills/characat0-databricks  
JSON: https://api.skillsregistry.net/v1/skills/characat0-databricks

## Description

Databricks MCP Server provides a bridge between AI assistants and Databricks workspaces, enabling interaction with data catalogs, schemas, tables, and SQL warehouses. Built with Go and the Model Context Protocol, it offers tools for listing database objects, executing SQL queries, and retrieving detailed table information through a standardized interface. The server authenticates with Databricks using unified authentication, supports multiple platforms including Linux, Windows, and macOS, and can be easily installed in VS Code through an extension, making it valuable for data analysts and engineers who need to query and analyze Databricks data directly from their AI assistant conversations.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/characat0-databricks)
- **Repository:** <https://github.com/characat0/databricks-mcp-server>

## 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": "characat0-databricks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/characat0-databricks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/characat0-databricks/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