A development toolkit that equips AI coding assistants (Claude Code, Cursor, Windsurf) with Databricks platform capabilities, featuring 50+ MCP tools, 19 skill modules, and a Python core library. Supports SQL execution, Jobs management, Unity Catalog, Spark Declarative Pipelines, AI Agent development (Knowledge Assistants, Genie Spaces), and Model Serving.
An open-source AI agent specialized in monitoring PostgreSQL databases, identifying root causes of issues, and providing fix suggestions and performance improvements.
PGMCP is an MCP server that enables querying any PostgreSQL database through natural language. It connects AI assistants to PostgreSQL databases, allowing users to ask questions in plain English and receive structured SQL results with automatic streaming and robust error handling.
EvaDB is a database system designed specifically for AI-powered applications. It provides a powerful SQL API that enables developers to build AI applications with just a few lines of code, supporting both structured and unstructured data processing.
A "code-first" agent framework for seamlessly planning and executing data analytics tasks by interpreting user requests through code snippets and efficiently coordinating various plugins in the form of functions for stateful execution.
LangExtract is a Python library that leverages Large Language Models (LLMs) to extract structured information from unstructured text. It is optimized for long documents, features precise source grounding to map extractions back to their origin, and generates interactive visualizations for easy verification.
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