# Databricks Docs MCP Server

> Use this tool when you need to efficiently search and retrieve specific information from Databricks documentation, API references, and knowledge base. It enables semantic search capabilities, solving problems related to information discovery and retrieval. The tool accepts search queries as input and returns relevant results, making it ideal for use cases where quick access to accurate documentation is required.

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

## Description

Enables semantic search over Databricks docs, API reference, Terraform provider docs, and knowledge base via tools like search_databricks_docs and research.

## 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:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gmcgtdof2m)
- **Repository:** <https://github.com/tcrst/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": "tcrst-databricks-docs-mcp"
    }
  }
}
```

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