// MCP TOOL REFERENCE

DATABRICKS MCP SERVER TOOLS

86 tools from the Databricks MCP Server MCP Server, categorised by risk level.

// ALL 86 DATABRICKS MCP SERVER TOOLS

READ 57 tools

Read describe_external_location Get detailed external location information. Read describe_metastore Get detailed metastore information. Read describe_storage_credential Get detailed storage credential information. Read describe_uc_catalog Provide detailed information about a specific catalog. Read describe_uc_function Get detailed function information including parameters and return type. Read describe_uc_model Get detailed model information including version history and lineage. Read describe_uc_schema describe_uc_schema Read describe_uc_table describe_uc_table Read describe_uc_volume Get detailed volume information including storage location and permissions. Read get_audit_log Get details of a specific audit log event. Read get_column_lineage Get column-level lineage information. Read get_data_quality_results Get data quality monitoring results. Read get_dbfs_file_info Get file/directory information from DBFS. Read get_governance_rule Get details of a specific governance rule. Read get_job Get detailed information about a specific job. Read get_job_run Get detailed information about a specific job run. Read get_job_run_logs Get logs from a job run. Read get_object_usage_stats Get usage statistics. Read get_pipeline Get details of a specific DLT pipeline. Read get_pipeline_run Get details of a specific DLT pipeline run. Read get_query Get details of a specific query. Read get_query_results Get results of a completed query. Read get_sql_warehouse Get details of a specific SQL warehouse. Read get_statement_results Get statement results. Read get_statement_status Get statement execution status. Read get_table_lineage Get data lineage information for a table. Read get_table_statistics Get table statistics including row count, size, and column statistics. Read get_widget_configuration_guide get_widget_configuration_guide Read health Check the health of the MCP server and Databricks connection. Read list_audit_logs List audit logs for the workspace. Read list_data_quality_monitors List data quality monitors configured in Unity Catalog. Read list_dbfs_files List files and directories in DBFS (Databricks File System). Read list_external_locations List all external locations configured in the workspace. Read list_governance_rules List governance rules configured in the workspace. Read list_job_runs List job runs, either all runs or runs for a specific job. Read list_jobs List all jobs in the Databricks workspace. Read list_metastores List all metastores in the workspace. Read list_pipeline_runs List DLT pipeline runs. Read list_pipelines List all DLT pipelines in the workspace. Read list_queries List queries (all or for specific warehouse). Read list_recent_queries List recent queries. Read list_storage_credentials List all storage credentials configured in the workspace. Read list_uc_functions List all functions in a Unity Catalog schema. Read list_uc_models List all models in a Unity Catalog schema. Read list_uc_permissions List permissions for Unity Catalog objects. Read list_uc_schemas List all schemas within a specific catalog. Read list_uc_tables List all tables within a specific schema. Read list_uc_tags List available tags in Unity Catalog. Read list_uc_volumes List all volumes in a Unity Catalog schema. Read list_volumes List all volumes within a specific schema. Read list_warehouses List all SQL warehouses in the Databricks workspace. Read read_dbfs_file Read file content from DBFS. Read search_catalog Search for catalog objects. Read search_lineage Search for lineage information. Read search_uc_objects Search for Unity Catalog objects by name, description, or tags. Read validate_dashboard_sql validate_dashboard_sql Read export_audit_logs Export audit logs for a specific time range.

WRITE 15 tools

Write apply_uc_tags Apply tags to Unity Catalog objects. Write copy_dbfs_file Copy a file in DBFS from source to destination. Write create_dashboard_file create_dashboard_file Write create_data_quality_monitor Create a new data quality monitor for a table. Write create_dbfs_directory Create a directory in DBFS. Write create_governance_rule Create a new governance rule. Write create_job Create a new job in the Databricks workspace. Write create_pipeline Create a new DLT pipeline. Write create_sql_warehouse Create a new SQL warehouse. Write create_volume create_volume Write move_dbfs_path Move/rename a file or directory in DBFS. Write update_governance_rule Update an existing governance rule. Write update_job Update an existing job in the Databricks workspace. Write update_pipeline Update an existing DLT pipeline. Write write_dbfs_file Write content to a file in DBFS.

DESTRUCTIVE 5 tools

Destructive delete_dbfs_path Delete a file or directory from DBFS. Destructive delete_governance_rule Delete a governance rule. Destructive delete_job Delete a job from the Databricks workspace. Destructive delete_pipeline Delete a DLT pipeline. Destructive delete_sql_warehouse Delete a SQL warehouse.

EXECUTE 9 tools

Execute cancel_job_run Cancel a running job run. Execute cancel_query Cancel a running query. Execute cancel_statement Cancel statement execution. Execute execute_dbsql execute_dbsql Execute start_pipeline_update Start a DLT pipeline update. Execute start_sql_warehouse Start a SQL warehouse. Execute stop_pipeline_update Stop a running DLT pipeline update. Execute stop_sql_warehouse Stop a SQL warehouse. Execute submit_job_run Submit a new job run.

// FAQ

How many tools does the Databricks MCP Server MCP server have? +

The Databricks MCP Server MCP server exposes 86 tools across 4 categories: Read, Write, Destructive, Execute.

How do I enforce policies on Databricks MCP Server tools? +

Route the Databricks MCP Server server through the PolicyLayer gateway. Define allow, deny, or approval rules per tool in the dashboard; they are enforced on every call before it reaches the server.

What risk categories do Databricks MCP Server tools fall into? +

Databricks MCP Server tools are categorised as Read (57), Write (15), Destructive (5), Execute (9). Each category has a recommended default policy.

Enforce policy on every Databricks MCP Server tool call.

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