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securityA
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qualityCSV File MCP Server by CData
Last updated -
MIT License
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 data by exposing it as relational SQL models through the CData JDBC Driver.
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?
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?
Allows querying Databricks data lake and analytics platform via SQL.
Why this server?
Allows querying Databricks data lakes and databases through a SQL interface
Why this server?
Enables access to Databricks data and analytics information through SQL queries.
Why this server?
Listed as a supported data source for integration with the MCP server, allowing access to Databricks data.
Why this server?
Enables querying Databricks data through a SQL interface.
Why this server?
Provides SQL interface for Databricks data warehousing and analytics platform.
Why this server?
Listed as a supported data source for accessing Databricks data and analytics.
Why this server?
Provides SQL access to Databricks tables and data sources.
Why this server?
Enables access to Databricks data and analytics through SQL queries.
Why this server?
Provides access to data stored in Databricks workspaces through SQL interfaces.
Why this server?
Provides access to Databricks analytics platform data through SQL queries.
Why this server?
Listed as a supported data source for integration through the CData JDBC driver.
Why this server?
Allows querying Databricks data through SQL interfaces, making data lakehouse information accessible via natural language.
Why this server?
Listed as a supported data source in the compatibility table, enabling access to Databricks data.
Why this server?
Enables read-only access to Databricks data, allowing SQL queries against data lakes and other Databricks resources.
Why this server?
Enables SQL-based querying of Databricks data and analytics.
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?
Enables querying of Databricks data through relational SQL models.
Why this server?
Listed as a supported data source for integration through the CData JDBC Driver
Why this server?
Enables SQL queries against Databricks data warehouses, notebooks, and analytics environments.
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 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.