# databricks-mcp

> Use this tool when you need to manage and query a Databricks workspace, including clusters, jobs, and SQL queries. It exposes Databricks REST APIs as MCP tools, solving problems related to workspace administration and data analysis. The tool accepts inputs such as API requests and returns outputs like query results and workspace metadata.

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

## Description

Exposes Databricks REST APIs as MCP tools for managing and querying a Databricks workspace, including clusters, jobs, SQL, Unity Catalog, and more.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wklpuln6nn)
- **Repository:** <https://github.com/inav/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": "inav-databricks-mcp"
    }
  }
}
```

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