# Databricks MCP Server

> Use this tool when you need to manage and optimize your Databricks workspace, as it provides a comprehensive suite of 263 tools for tasks such as Unity Catalog management, SQL queries, compute resource allocation, job scheduling, and model serving. This tool solves problems related to data governance, workflow automation, and performance optimization, making it ideal for data engineers, analysts, and scientists. It accepts inputs such as Databricks workspace configurations and query parameters, and outputs include optimized workflows, query results, and performance metrics.

Canonical page: https://skillsregistry.net/skills/io-github-pramodbhatofficial-databricks-sdk-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-pramodbhatofficial-databricks-sdk-mcp

## Description

263 tools for Databricks: Unity Catalog, SQL, Compute, Jobs, Serving, and more.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.pramodbhatofficial%2Fdatabricks-sdk-mcp)
- **Repository:** <https://github.com/pramodbhatofficial/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": "io-github-pramodbhatofficial-databricks-sdk-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-pramodbhatofficial-databricks-sdk-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-pramodbhatofficial-databricks-sdk-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