# Databricks AI Dev Kit

> An open-source toolkit that gives AI coding assistants trusted Databricks context, MCP tools, and skills to build faster and smarter on the Databricks platform.

Databricks AI Dev Kit is an open-source toolkit designed to supercharge AI-driven development (vibe coding) on Databricks by providing coding assistants like Claude Code, Cursor, Windsurf, and Gemini CLI with the trusted sources they need. It includes a Python core library, an MCP server with 50+ tools, 20 markdown skills teaching Databricks patterns, and a full-stack Visual Builder App. The kit enables developers to build Spark Declarative Pipelines, Databricks Jobs, AI/BI Dashboards, Unity Catalog assets, RAG-based Knowledge Assistants, MLflow Experiments, Model Serving endpoints, and Databricks Apps.

- **MCP Server** — *Exposes 50+ executable tools for AI assistants via the Model Context Protocol, enabling direct interaction with Databricks resources.*
- **Databricks Skills** — *20 markdown skill files teaching Databricks patterns and best practices, installable into Claude Code, Cursor, Gemini CLI, and Genie Code.*
- **Core Python Library (`databricks-tools-core`)** — *High-level Python functions for SQL execution, pipeline management, and more; compatible with LangChain, OpenAI Agents SDK, and any Python framework.*
- **Visual Builder App** — *A full-stack web application with a chat UI for Databricks development, powered by Claude Code integration.*
- **Genie Code Skills** — *Install skills directly into your Databricks workspace for use in Genie Code's natural language data exploration UI.*
- **Multi-tool Support** — *Works with Claude Code, Cursor, Gemini CLI, Antigravity, and GitHub Copilot via a single install script for Mac, Linux, and Windows.*
- **Quick Install** — *Get started with a single `bash` or PowerShell command; supports project-level and global installation scopes.*
- **Proactive Dependency Security** — *Continuously monitors the dependency tree against known vulnerabilities and supply chain advisories.*

## Features
- MCP server with 50+ Databricks tools
- 20 markdown skills for Databricks patterns
- Core Python library for Databricks functions
- Visual Builder App with chat UI
- Genie Code skills integration
- Support for Claude Code, Cursor, Gemini CLI, Windsurf, Antigravity
- Spark Declarative Pipelines support
- Unity Catalog integration
- MLflow Experiments and Model Serving
- RAG-based Knowledge Assistants
- Single-command install for Mac, Linux, and Windows
- Project-level and global installation scopes

## Integrations
Databricks, Claude Code, Cursor, Gemini CLI, Antigravity, Windsurf, GitHub Copilot, LangChain, OpenAI Agents SDK, MLflow, Unity Catalog, Genie Code

## Platforms
WINDOWS, MACOS, LINUX, WEB, API, DEVELOPER_SDK, CLI

## Pricing
Open Source

## Version
v0.1.7

## Links
- Website: https://github.com/databricks-solutions/ai-dev-kit
- Documentation: https://github.com/databricks-solutions/ai-dev-kit
- Repository: https://github.com/databricks-solutions/ai-dev-kit
- EveryDev.ai: https://www.everydev.ai/tools/databricks-ai-dev-kit