# Databricks

> Use this tool when you need to manage and analyze data in a secure and efficient manner, solving problems related to data querying, job management, and pipeline monitoring. It provides a read-only interface with SQL querying and SDK integrations, offering inputs such as SQL queries and outputs like query results and metadata. Use Databricks in contexts where data analytics, job tracking, and workspace navigation are crucial, with features like input validation and SQL injection protection ensuring a safe and reliable experience.

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

## Description

A read-only MCP server for Databricks that provides SQL querying, job management, pipeline monitoring, and metadata browsing capabilities through both SQL connector and SDK integrations. Offers 6 tool categories including SQL queries with safety restrictions, Delta Lake table operations, Unity Catalog permissions, cluster metrics from system tables, job execution tracking, and workspace navigation. Features input validation, SQL injection protection, and time zone conversion utilities. Multi-language documentation in English and Traditional Chinese.

## Trust

- **Trust score (0–1):** 0.95
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/chrischotw-databricks)
- **Repository:** <https://github.com/chrischotw/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": "chrischotw-databricks"
    }
  }
}
```

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