Databricks
Integrates with Databricks services to enable interaction with clusters, jobs, notebooks, DBFS, and SQL workspaces via tools that
Databricks MCP Server provides a bridge between AI assistants and Databricks services through a standardized interface. It enables interaction with Databricks clusters, jobs, notebooks, DBFS, and SQL workspaces via tools that wrap the Databricks REST API. The server follows the stdio transport protocol, making it compatible with Claude Desktop integration, and includes comprehensive error handling and logging. Particularly valuable for data scientists and engineers who need to manage Databricks resources, execute queries, or automate workflows without leaving their conversation interface.
Source
Repository: https://github.com/justtryai/databricks-mcp-server
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