The Databricks MCP server is a tool that provides a Model Context Protocol interface for interacting with the Databricks workspace, supporting queries of catalogs, schemas, tables, and SQL execution.

The Databricks MCP Server is a service based on the MCP protocol that allows LLM tools to interact with the Databricks platform, providing management functions for clusters, jobs, notebooks, etc.

An MCP server that connects to the Databricks API, supporting functions such as executing SQL queries and managing jobs.

The Alkemi MCP server is an HTTP MCP endpoint wrapped by STDIO, allowing users to connect to data sources such as Snowflake, Google BigQuery, and DataBricks, store database metadata, generate and execute queries through the Alkemi platform, and achieve team - shared data query capabilities.

The Databricks MCP Server is a model interaction service based on the MCP protocol, providing access interfaces to functions such as Databricks clusters, jobs, and notebooks, and supporting the integrated interaction between LLM tools and the Databricks platform.

An MCP server that connects to the Databricks API, supporting functions such as executing SQL queries and managing jobs, and providing data interaction capabilities for LLMs.

This is a server based on the Model Context Protocol (MCP) for executing SQL queries through the Databricks Statement Execution API, supporting complex task iteration and Unity Catalog metadata integration.

The Databricks MCP Server is a service that implements the Model Completion Protocol (MCP), providing the ability to access Databricks functions via the MCP protocol, enabling LLM tools to interact with Databricks clusters, jobs, notebooks, etc.

A Databricks permission management server based on the MCP protocol that provides access interfaces for permissions, credentials, and Git credentials, and supports the integration of LLM tools to manage Databricks resource permissions.

This project implements a Model Context Protocol (MCP) server, exposing the Databricks Genie API functionality as a tool. It supports querying Databricks data in natural language and can be integrated with MCP clients such as Claude Desktop.