# Databricks MCP Server

> Use this tool when you need to access and manage enterprise data from Unity Catalog or perform developer actions in Databricks. It enables AI agents to leverage vector search, functions, and Genie spaces, and execute tasks like managing notebooks and running jobs. Ideal for use cases that require seamless integration with Databricks workflows and data management.

Canonical page: https://skillsregistry.net/skills/abhisheksharma637-databricks-mcp  
JSON: https://api.skillsregistry.net/v1/skills/abhisheksharma637-databricks-mcp

## Description

Enables AI agents to access enterprise data from Unity Catalog (vector search, functions, Genie spaces) and perform developer actions in Databricks like managing notebooks and running jobs.

## 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:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mgyvssrx4p)
- **Repository:** <https://github.com/abhisheksharma637/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": "abhisheksharma637-databricks-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abhisheksharma637-databricks-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abhisheksharma637-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