---
title: "Databricks"
description: "Databricks MCP enables SQL query execution, schema exploration, and table analysis for data workflows using the Statement Execution API."
category: "mcp-servers"
tags: ["utility", "api", "data", "real-time", "integration", "ETL", "data quality", "analytics"]
tech_stack: ["Databricks", "Delta Lake", "Apache Spark", "SQL", "Data Analytics", "Statement Execution API"]
---

The Databricks MCP makes it easy to connect with Databricks' robust data platform. Developers can run SQL queries, browse database schemas, and check out table structures all through the Statement Execution API.

This setup allows for thorough data exploration and analysis without stepping outside your development environment.

With this MCP, developers can speed up data-driven applications by querying Delta Lake tables, examining dataset schemas, and grasping data relationships programmatically.

It's especially useful for creating ETL pipelines, producing data quality reports, and supporting analytics applications that need real-time access to Databricks data assets.