Databricks
Summary
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.
Available Actions(11)
list_clusters
List all Databricks clusters.
create_cluster
Create a new Databricks cluster.
terminate_cluster
Terminate a Databricks cluster.
get_cluster
Get information about a specific Databricks cluster.
start_cluster
Start a terminated Databricks cluster.
list_jobs
List all Databricks jobs.
run_job
Run a Databricks job.
list_notebooks
List notebooks in a workspace directory.
export_notebook
Export a notebook from the workspace.
list_files
List files and directories in a DBFS path.
execute_sql
Execute a SQL statement.
社区评论
暂无评论. 成为第一个评论的人！
登录以参与讨论
