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databricks-ai-dev-kit

Name: databricks-ai-dev-kit
Author: juanlamadrid20

By juanlamadrid20

Databricks development toolkit with skills for data engineering, ML, and AI agents plus MCP tools for direct Databricks operations

Publisher marketplacedatabricks-ai-dev-kit@databricks-ai-dev-kit · marketplace and plugin share one repository (juanlamadrid20/ai-dev-kit)

npx claudepluginhub juanlamadrid20/ai-dev-kit --plugin databricks-ai-dev-kit

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Stars

Med: 0·Avg: 510

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What's Inside

Skills25

databricks-synthetic-data-generation

/databricks-synthetic-data-generation

Generate realistic synthetic data using Faker and Spark, with non-linear distributions, integrity constraints, and save to Databricks. Use when creating test data, demo datasets, or synthetic tables.

databricks-unity-catalog

/databricks-unity-catalog

Unity Catalog system tables and volumes. Use when querying system tables (audit, lineage, billing) or working with volume file operations (upload, download, list files in /Volumes/).

databricks-unstructured-pdf-generation

/databricks-unstructured-pdf-generation

Generate synthetic PDF documents for RAG and unstructured data use cases. Use when creating test PDFs, demo documents, or evaluation datasets for retrieval systems.

databricks-vector-search

/databricks-vector-search

Patterns for Databricks Vector Search: create endpoints and indexes, query with filters, manage embeddings. Use when building RAG applications, semantic search, or similarity matching. Covers both storage-optimized and standard endpoints.

databricks-zerobus-ingest

/databricks-zerobus-ingest

Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC. Use when creating producers that write directly to Unity Catalog tables without a message bus, working with the Zerobus Ingest SDK in Python/Java/Go/TypeScript/Rust, generating Protobuf schemas from UC tables, or implementing stream-based ingestion with ACK handling and retry logic.

Hooks1

Event Hooks

1 hook across 1 event

MCP Servers1

databricks

admin

The plugin manifest points to a different repository than the source indexed by ClaudePluginHub.

Stats

Version1.0.0

LanguagePython

Stars0

MaintenancePoor

LicenseDB License (see repo)

Last CommitFeb 20, 2026

AddedJul 10, 2026

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Available In

databricks-ai-dev-kit

Safety Signals

Critical

Admin access level

Server config contains admin-level keywords

README

Databricks AI Dev Kit

Overview

AI-Driven Development (vibe coding) on Databricks just got a whole lot better. The AI Dev Kit gives your AI coding assistant (Claude Code, Cursor, Windsurf, etc.) the trusted sources it needs to build faster and smarter on Databricks.

Architecture

What Can I Build?

Spark Declarative Pipelines (streaming tables, CDC, SCD Type 2, Auto Loader)
Databricks Jobs (scheduled workflows, multi-task DAGs)
AI/BI Dashboards (visualizations, KPIs, analytics)
Unity Catalog (tables, volumes, governance)
Genie Spaces (natural language data exploration)
Knowledge Assistants (RAG-based document Q&A)
MLflow Experiments (evaluation, scoring, traces)
Model Serving (deploy ML models and AI agents to endpoints)
Databricks Apps (full-stack web applications)
...and more

Choose Your Own Adventure

Adventure	Best For	Start Here
:star: Install AI Dev Kit	Start here! Follow quick install instructions to add to your existing project folder	Quick Start (install)
Visual Builder App	Web-based UI for Databricks development	`databricks-builder-app/`
Core Library	Building custom integrations (LangChain, OpenAI, etc.)	`pip install`
Skills Only	Provide Databricks patterns and best practices (without MCP functions)	Install skills
MCP Tools Only	Just executable actions (no guidance)	Register MCP server

Quick Start

Prerequisites

uv - Python package manager
Databricks CLI - Command line interface for Databricks
AI coding environment
- Claude Code
- Cursor

Install in existing project

By default this will install at a project level rather than a user level. This is often a good fit, but requires you to run your client from the exact directory that was used for the install.
Note: Project configuration files can be re-used in other projects. You find these configs under .claude or .cursor

Mac / Linux

Basic installation (uses DEFAULT profile, project scope)

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh)

Advanced Options (click to expand)

Global installation with force reinstall

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh) --global --force

Specify profile and force reinstall

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh) --profile DEFAULT --force

Install for specific tools only

bash <(curl -sL https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.sh) --tools cursor

Next steps: Respond to interactive prompts and follow the on-screen instructions.

Note: Cursor and Copilot require updating settings manually after install.

Windows (PowerShell)

Basic installation (uses DEFAULT profile, project scope)

irm https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.ps1 | iex

Advanced Options (click to expand)

Download script first

irm https://raw.githubusercontent.com/databricks-solutions/ai-dev-kit/main/install.ps1 -OutFile install.ps1

Global installation with force reinstall

.\install.ps1 -Global -Force

Specify profile and force reinstall

.\install.ps1 -Profile DEFAULT -Force

Install for specific tools only

.\install.ps1 -Tools cursor

Next steps: Respond to interactive prompts and follow the on-screen instructions.

Note: Cursor and Copilot require updating settings manually after install.

Visual Builder App

Full-stack web application with chat UI for Databricks development:

cd ai-dev-kit/databricks-builder-app
./scripts/setup.sh
# Follow instructions to start the app

Core Library

Use databricks-tools-core directly in your Python projects:

from databricks_tools_core.sql import execute_sql

results = execute_sql("SELECT * FROM my_catalog.schema.table LIMIT 10")

View full README on GitHub

databricks-ai-dev-kit

Popularity

What's Inside

Confidence

README

Databricks AI Dev Kit

Overview

What Can I Build?

Choose Your Own Adventure

Quick Start

Prerequisites

Install in existing project

Mac / Linux

Windows (PowerShell)

Visual Builder App

Core Library

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Databricks AI Dev Kit

Overview

What Can I Build?

Choose Your Own Adventure

Quick Start

Prerequisites

Install in existing project

Mac / Linux

Windows (PowerShell)

Visual Builder App

Core Library

Popularity

Health & Quality

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