bricks and context
JSON →Production-grade MCP server for Databricks: SQL Warehouses, Jobs API, multi-workspace support.
Install
pip install -e Tools · 14
- execute_sql_query Run SQL with bounded, AI-safe output
- discover_schemas List all schemas in the workspace
- discover_tables List tables in a schema with metadata
- describe_table Get column types, nullability, structure
- get_table_sample Preview rows for data exploration
- connection_health Verify Databricks connectivity
- list_jobs List jobs with optional name filtering
- get_job_details Full job config: schedule, cluster, tasks
- get_job_runs Run history with state and duration
- trigger_job Start a job with optional parameters
- cancel_job_run Stop a running job
- get_job_run_output Retrieve logs, errors, notebook output
- cache_stats Hit rates, memory usage, category breakdown
- performance_stats Operation latencies, error rates, health
Links
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