"Guidance on connecting to Databricks" matching MCP servers:

Enables any MCP client to search and read 127 FDA guidance documents on clinical research, with tools for ranked passage search, document retrieval, and metadata lookup.

Enables AI-assisted development by running and testing code directly on Databricks clusters via natural language, then deploying Databricks Asset Bundles.

Exposes Databricks REST APIs as MCP tools for managing and querying a Databricks workspace, including clusters, jobs, SQL, Unity Catalog, and more.

A read-only MCP server that enables users to query Databricks SQL, browse metadata, and monitor Delta Lake tables. It also supports tracking Databricks Jobs, DLT Pipelines, and cluster metrics through natural language interfaces.

Enables management of Unity Catalog resources (catalogs, schemas, tables) and execution of SQL queries on Databricks SQL Warehouses.

Provides MCP tools to interact with Databricks SQL warehouses, enabling metadata discovery, table reading, and DDL operations.

Safe, read-only SQL analytics for AI agents over MCP, enabling exploration, profiling, and querying of data without mutation risk.

A Model Context Protocol server that lets LLM clients answer business questions in natural language over a Databricks dataset without writing SQL by hand.

Authenticates with Databricks via OAuth and exposes remote MCP tools from Databricks applications, enabling interaction with Databricks-hosted tools through Claude.

A fixed Model Completion Protocol (MCP) server that enables LLMs like Claude Code to interact with Databricks functionality including clusters, jobs, notebooks, and SQL execution through natural language commands.

A server that implements the Model Completion Protocol (MCP) to allow LLMs to interact with Databricks resources including clusters, jobs, notebooks, and SQL execution through natural language.

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

Enables LLM-powered tools to interact with Databricks clusters, jobs, notebooks, SQL warehouses, and Unity Catalog through the Model Completion Protocol. Provides comprehensive access to Databricks REST API functionality including cluster management, job execution, workspace operations, and data catalog operations.

A server that provides tools to interact with Databricks for cluster, job, notebook, DBFS, and SQL management through natural language interfaces like Claude-Desktop and Cursor.

Enables AI assistants to execute SQL queries and explore databases, tables, and catalogs on Databricks using Unity Catalog.

Enables LLMs to manage Databricks clusters, jobs, and notebooks while providing schema references for gold and silver data layers. It allows agents to perform data discovery and execute SQL queries directly against Databricks environments.

Exposes Databricks REST API as MCP tools for managing clusters, jobs, notebooks, SQL queries, Unity Catalog, and more. Enables AI agents to interact with Databricks workspaces through natural language.

MCP server for Databricks Unity Catalog, enabling table listing, schema description, and read-only SQL query execution via natural language. Built from scratch to demonstrate JSON-RPC 2.0 protocol depth.

This is a Model Context Protocol (MCP) server for executing SQL queries against Databricks using the Statement Execution API. It enables AI assistants to directly query Databricks data warehouses, analyze database schemas, and retrieve query results in a structured format

Connects to the Databricks Genie API, enabling LLMs to ask natural language questions, run SQL queries, and interact with Databricks conversational agents.