mcpField
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databricks-docs

databricks-docs

github.com/databricks-solutionsData & databases2.0k41 installsUpdated 2d ago
Repository

About databricks-docs

databricks-docs is a reference skill for consulting Databricks documentation through its llms.txt index. It is intended to supplement other skills and provide guidance on Databricks concepts, APIs, and MCP tool use rather than perform actions itself.

Key features

  1. 01Search the Databricks documentation index
  2. 02Find authoritative concept and API guidance
  3. 03Browse documentation by subject area
  4. 04Supplement workflows from other skills

Use cases

  1. 01Look up a Databricks feature not covered elsewhere
  2. 02Clarify details of Databricks APIs
  3. 03Find guidance before using MCP tools
  4. 04Consult documentation alongside a workflow skill

MCP support

This reference skill helps users find documentation that informs MCP tool use. It directs actions to MCP tools such as execute_sql and manage_pipeline rather than performing them itself.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/databricks-solutions/ai-dev-kit --skill databricks-docs

After installing, type/databricks-docsin Claude Code to confirm it loaded.

Details

From the project README

Databricks Documentation Reference

This skill provides access to the complete Databricks documentation index via llms.txt - use it as a reference resource to supplement other skills and inform your use of MCP tools.

Role of This Skill

This is a reference skill, not an action skill. Use it to:

  • Look up documentation when other skills don't cover a topic
  • Get authoritative guidance on Databricks concepts and APIs
  • Find detailed information to inform how you use MCP tools
  • Discover features and capabilities you may not know about

Always prefer using MCP tools for actions (execute_sql, manage_pipeline, etc.) and load specific skills for workflows (databricks-python-sdk, databricks-spark-declarative-pipelines, etc.). Use this skill when you need reference documentation.

How to Use

Fetch the llms.txt documentation index:

URL: https://docs.databricks.com/llms.txt

Use WebFetch to retrieve this index, then:

  1. Search for relevant sections/links
  2. Fetch specific documentation pages for detailed guidance
  3. Apply what you learn using the appropriate MCP tools

Documentation Structure

The llms.txt file is organized by category:

  • Overview & Getting Started - Basic concepts and tutorials
  • Data Engineering - Lakeflow, Spark, Delta Lake, pipelines
  • SQL & Analytics - Warehouses, queries, dashboards
  • AI/ML - MLflow, model serving, GenAI
  • Governance - Unity Catalog, permissions, security
  • Developer Tools - SDKs, CLI, APIs, Terraform

Example: Complementing Other Skills

Scenario: User wants to create a Delta Live Tables pipeline

  1. Load databricks-spark-declarative-pipelines skill for workflow patterns
  2. Use this skill to fetch docs if you need clarification on specific DLT features
  3. Use manage_pipeline(action="create_or_update") MCP tool to actually create the pipeline

Scenario: User asks about an unfamiliar Databricks feature

  1. Fetch llms.txt to find relevant documentation
  2. Read the specific docs to understand the feature
  3. Determine which skill/tools apply, then use them

Related Skills

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