Databricks is a data analytics platform that provides data lakehouse solutions for businesses, combining data warehouses and data lakes to offer unified analytics for data engineering, machine learning, and business intelligence.
Why this server?
Provides access to Databricks functionality including cluster management, job management, notebook operations, file system operations (DBFS and Unity Catalog volumes), and SQL execution capabilities.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver.
Why this server?
Enables access to Databricks analytics platform data through SQL-like queries for data processing and analytics workloads
Why this server?
Allows querying Databricks analytics platform data through SQL interface, enabling access to data lake and analytics information.
Why this server?
Provides access to Databricks analytics platform data through SQL queries
Why this server?
Provides access to Databricks data lakehouse platform including datasets, notebooks, and analytics through SQL queries.
Why this server?
Provides read-only access to Databricks data through SQL queries, enabling retrieval of analytics and big data information
Why this server?
Provides read-only access to Databricks analytics platform through SQL queries, enabling retrieval of data lake and analytics information
Why this server?
Provides read access to Databricks data platform including datasets, notebooks, cluster information, and analytics data.
Why this server?
Enables SQL access to Databricks data lakehouse platform for querying tables and datasets
Why this server?
Enables querying Databricks analytics platform data through SQL operations for accessing notebooks, clusters, and job information.
Why this server?
Allows querying Databricks tables and data through SQL, exposing Databricks data as relational tables.
Why this server?
Provides SQL access to Databricks analytics platform data, enabling querying of data lakehouse and analytics workloads
Why this server?
Provides access to Databricks data analytics platform including clusters, notebooks, and data processing results through SQL queries.
Why this server?
Provides SQL connectivity to Databricks data lakehouse platform for querying analytics data.
Why this server?
Provides SQL access to Databricks tables and data sources.
Why this server?
Provides SQL-based access to Databricks data and workspaces.
Why this server?
Provides access to Databricks data analytics platform for querying data lakes and warehouses
Why this server?
Allows retrieval of data from Databricks analytics platform through SQL-based tools for listing tables, retrieving column information, and executing SELECT queries.
Why this server?
Allows querying Databricks data lake and analytics platform through SQL.
Why this server?
Provides SQL interface for Databricks data warehousing and analytics platform.
Why this server?
Enables querying of Databricks data and analytics workspaces through SQL interface
Why this server?
Provides SQL query access to Databricks data lakehouse platform for analytics and data retrieval
Why this server?
Provides access to Databricks data lake and analytics platform through SQL queries
Why this server?
Enables querying of Databricks data analytics platform for data processing and analysis
Why this server?
Provides access to Databricks data analytics platform for querying data lakes and warehouses
Why this server?
Provides access to Databricks data analytics platform through SQL queries
Why this server?
Provides read-only access to data stored in Databricks, allowing queries against live Databricks data using natural language instead of SQL. The MCP server exposes Databricks data as relational SQL models for retrieval.
Why this server?
Provides SQL interface to query Databricks data analytics platform and associated datasets
Why this server?
Enables SQL queries against Databricks analytics platform data through CData's JDBC driver
Why this server?
Enables SQL-based querying of Databricks data and analytics.
Why this server?
Allows querying of Databricks data and analytics platforms through SQL interface
Why this server?
Allows retrieval of SAS Data Sets containing Databricks data via SQL queries.
Why this server?
Enables querying of Databricks analytics and data processing platforms through SQL operations, providing access to data lakehouse information.
Why this server?
Enables access to Databricks analytics platform data, tables, and workspace information.
Why this server?
Listed as a supported data source in the compatibility table, enabling access to Databricks data.
Why this server?
Listed as a supported data source for integration through the CData JDBC driver.
Why this server?
Enables querying Databricks data through a SQL interface via the MCP server.
Why this server?
Provides access to Databricks analytics platform data and compute resources through SQL queries.
Why this server?
Provides SQL-based access to Databricks data lakes and warehouses through natural language queries.
Why this server?
Allows SQL querying of Databricks data lakehouse platform, providing access to analytics and machine learning data.
Why this server?
Provides access to Databricks analytics platform data and workspace information through SQL queries
Why this server?
Provides SQL-based access to data stored in Databricks.
Why this server?
Allows querying Databricks data through a SQL interface, providing access to tables and data in Databricks environments.
Why this server?
Allows querying data stored in Databricks tables and datasets.
Why this server?
Allows querying Databricks data through SQL interfaces, making data lakehouse information accessible via natural language.
Why this server?
Enables read-only access to Databricks data via SQL models.
Why this server?
Allows querying Databricks data analytics platform in a read-only format.
Why this server?
Listed as a supported data source that can be integrated with the MCP server for data access.
Why this server?
Provides access to Databricks analytics platform data through SQL queries.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver, enabling data querying capabilities.
Why this server?
Listed as a supported data source that can be accessed through the CData JDBC driver integration.
Why this server?
Allows querying Databricks data lakes and databases through a SQL interface
Why this server?
Listed as a supported data source that can be integrated with the MCP server for querying Databricks data.
Why this server?
Provides access to Databricks functionality through tools that allow interacting with clusters (listing, creating, terminating, starting), jobs (listing, running), notebooks (listing, exporting), files (browsing DBFS paths), and executing SQL queries on a Databricks instance.
Why this server?
Enables querying of Databricks data lakehouse tables and analytics data through SQL interface
Why this server?
Listed as a supported data source that can be integrated with the MCP server for retrieving data.
Why this server?
Provides SQL-based access to Databricks data, enabling retrieval of data analytics information through natural language questions.
Why this server?
Listed as a supported data source that can be queried through the MCP server.
Why this server?
Listed as a supported data source for integration, enabling access to Databricks analytics platform data through the CData JDBC Driver.
Why this server?
Provides SQL-based access to Databricks data and analytics.
Why this server?
Provides SQL access to data stored in Databricks, enabling queries against datasets in the Databricks platform.
Why this server?
Enables querying of Databricks data through relational SQL models.
Why this server?
Allows querying Databricks data lake and analytics platform via SQL.
Why this server?
Listed as a supported data source for integration, allowing access to Databricks data and analytics.
Why this server?
Provides read-only access to Databricks data by exposing tables as relational SQL models, allowing retrieval of live data through simple MCP queries.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver.
Why this server?
Enables querying Databricks data sources by exposing them as relational SQL models that can be accessed through natural language queries.
Why this server?
Enables connection to Databricks data analytics platform for SQL-based querying.
Why this server?
Provides SQL-based access to data stored in Databricks.
Why this server?
Provides access to Databricks data by exposing it as relational SQL models through the CData JDBC Driver.
Why this server?
Enables read-only SQL querying of Databricks tables, views, and data stored in Databricks workspaces.
Why this server?
Enables SQL queries against Databricks data lakes and warehouses, accessing analytics data through a relational interface.
Why this server?
Listed as a supported data source for integration through the CData JDBC Driver framework.
Why this server?
Listed as a supported data source for accessing Databricks data and analytics.
Why this server?
Allows querying Databricks data by exposing it as relational tables, with tools for listing tables, retrieving column information, and executing SQL queries.
Why this server?
Provides read-only access to Databricks data through SQL models, allowing queries of Databricks data through natural language requests.
Why this server?
Listed as a supported data source that can be accessed through the CData JDBC driver, allowing for data retrieval from Databricks analytics platform.
Why this server?
Enables SQL queries against Databricks data analytics platform, providing access to data lake and machine learning insights
Why this server?
Provides tools for interacting with Databricks workspaces, allowing users to list catalogs, schemas, and tables, execute SQL statements, and retrieve information about SQL warehouses.
Why this server?
Provides access to data stored in Databricks workspaces through SQL interfaces.
Why this server?
Enables access to Databricks data and analytics through SQL queries.
Why this server?
Enables querying Databricks data through a SQL interface.
Why this server?
Listed as a supported data source for integration with the MCP server, allowing access to Databricks data.
Why this server?
Enables access to Databricks data and analytics information through SQL queries.
Why this server?
Enables SQL queries against Databricks data warehouses, notebooks, and analytics environments.
Why this server?
Listed as a supported data source for integration through the CData JDBC Driver
Why this server?
Enables read-only access to Databricks data, allowing SQL queries against data lakes and other Databricks resources.
Why this server?
Allows querying Databricks data through natural language questions rather than writing SQL.
Why this server?
Provides access to Databricks data analytics platform through SQL queries.
Why this server?
Enables SQL-based access to Databricks workspaces, allowing queries against data lakes and other Databricks-managed data sources.
Why this server?
Provides SQL interface for accessing Databricks data.
Why this server?
Included in the list of supported sources for data retrieval through the MCP server.
Why this server?
Enables SQL queries against Databricks data and notebooks.
Why this server?
Provides read-only access to Databricks data, allowing retrieval of information through natural language questions without requiring SQL knowledge.
Why this server?
Provides access to Databricks workspace, notebooks, and data through SQL queries.
Why this server?
Listed as a supported data source that can be accessed through CData JDBC Driver and exposed via the MCP server.
Why this server?
Provides tools for interacting with Databricks, enabling cluster management, job management, notebook management, DBFS management, and SQL management within a Databricks environment.
Why this server?
Enables querying of Databricks analytics platform data, including tables, notebooks, and clusters.
Why this server?
Enables SQL-based access to Databricks analytics platform data, supporting querying of datasets and analysis results.
Why this server?
Allows querying data stored in Databricks workspaces.
Why this server?
Enables access to Databricks data by exposing it as relational SQL models through the CData JDBC driver.
Why this server?
Enables querying Databricks data lake and data warehouse content through SQL interfaces.
Why this server?
Allows querying of Databricks data through SQL models.
Why this server?
Listed as a supported data source that can be accessed through the MCP server.
Why this server?
Provides seamless integration with Databricks Unity Catalog, enabling browsing of catalogs, schemas, and tables, querying metadata, sampling data, executing SQL queries against Databricks warehouses, searching tables, and accessing data quality insights and lineage information.
Why this server?
Listed as a supported data source that can be accessed through the MCP server interface, allowing retrieval of Databricks data through SQL queries.
Why this server?
Provides access to Databricks data analytics platform, enabling queries on datasets, notebooks, and cluster information.
Why this server?
Allows querying of Databricks data and analytics platforms, providing access to data processing and machine learning insights.
Why this server?
Provides read-only access to Databricks data and analytics through SQL queries, enabling retrieval of data science and analytics information.
Why this server?
Executes SQL queries against Databricks using the Statement Execution API, allowing data retrieval, schema listing, table enumeration, and table schema description through the Databricks platform.
Why this server?
Enables SQL querying of Databricks analytics platform data, providing access to data lakehouse tables, notebooks, and analytics results
Why this server?
Allows querying Databricks analytics platform data, providing access to data lakehouse information, notebooks, and analytics workloads.
Why this server?
Provides access to Databricks workspace data, notebooks, clusters, and analytics through SQL querying capabilities.
Why this server?
Enables querying of Databricks data platforms and analytics through SQL interface
Why this server?
Allows querying Databricks analytics platform data through SQL operations, providing access to data science and machine learning workflows.
Why this server?
Enables querying of Databricks analytics platform data through SQL interface, providing access to data lakehouse information.
Why this server?
Allows SQL querying of Databricks data platforms and analytics workspaces
Why this server?
Allows access to Databricks data platforms with tools for querying data lakes and analytics workspaces.
Why this server?
Enables querying Databricks data platform through SQL operations, providing access to data analytics and machine learning workspaces.
Why this server?
Provides SQL access to Databricks data platform, allowing queries on data lakes, tables, and analytics workspaces for data science insights.
Why this server?
Provides tools for interacting with Databricks workspaces, including cluster management, job creation and execution, SQL query execution via SQL warehouses, and workspace resource management through the Databricks SDK
Why this server?
Enables interaction with Databricks services including submitting code to clusters, creating and running jobs, creating Delta Live Tables (DLT) pipelines, and retrieving job status and error information from Databricks workspaces.
Why this server?
Enables browser automation with Databricks language models for web-based tasks via API.
Why this server?
Enables AI assistants to interact with Databricks workspaces through authenticated access, providing tools for cluster management, job creation, SQL query execution, and workspace operations using the Databricks SDK
Why this server?
Connects to Databricks API, allowing SQL query execution on Databricks warehouses, listing of jobs, retrieving job status, and accessing detailed job information.
Why this server?
Provides tools for interacting with Databricks workspaces, including cluster management, job creation and execution, SQL query execution, and workspace resource management through the Databricks SDK
Why this server?
Enables AI assistants to interact with Databricks workspaces through prompts and tools, providing access to clusters, job management, SQL execution, and other Databricks SDK functionality
Why this server?
Enables AI assistants to interact with Databricks workspaces through OAuth authentication, providing tools for managing clusters, executing SQL queries, creating jobs, and accessing workspace resources via the Databricks SDK