# Databricks Documentation MCP Server

> Use this tool when you need to efficiently search and explore Databricks AWS documentation using semantic search and multiple MCP tools. It solves problems related to information discovery and retrieval, providing AI assistants with relevant documentation and resources. The tool takes in search queries as input and outputs relevant documentation results, making it ideal for use cases where quick access to specific information is required.

Canonical page: https://skillsregistry.net/skills/yang0733-databricks-docs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yang0733-databricks-docs-mcp

## Description

Enables AI assistants to search and explore Databricks AWS documentation through semantic search and 10 MCP tools.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gkvw92do6o)
- **Repository:** <https://github.com/yang0733/databricks-docs-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": "yang0733-databricks-docs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yang0733-databricks-docs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yang0733-databricks-docs-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