Databricks
Integrates with Databricks APIs to manage clusters, jobs, notebooks, DBFS files, and execute SQL queries directly from your assist
Databricks MCP Server provides tools for interacting with Databricks APIs through a standardized protocol, enabling AI assistants to manage clusters, jobs, notebooks, DBFS files, and execute SQL queries. Built with Python using the FastMCP framework, it authenticates with Databricks tokens and exposes functionality through well-documented tools that handle proper error reporting and response formatting. The server can be run via command line or integrated into applications, making it particularly valuable for data scientists and engineers who need to automate Databricks workspace management, monitor resources, or execute data operations without leaving their AI assistant interface.
Source
Repository: https://github.com/markov-kernel/databricks-mcp
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