// MCP TOOL REFERENCE

DATABRICKS MCP SERVER TOOLS

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

// ALL 38 DATABRICKS MCP SERVER TOOLS

READ 16 tools

Read get_cluster Get information about a cluster Read get_run_status Get status for a job run Read get_table_lineage Get Unity Catalog table lineage Read get_workspace_file_content Retrieve workspace file content Read get_workspace_file_info Retrieve workspace metadata Read list_catalogs List Unity Catalog catalogs Read list_cluster_libraries List libraries for a cluster Read list_clusters List all Databricks clusters Read list_files List DBFS files for a path Read list_job_runs List recent job runs Read list_jobs List Databricks jobs Read list_notebooks List notebooks in a directory Read list_repos List repos in the workspace Read list_schemas List schemas in a catalog Read list_tables List tables for a schema Read export_notebook Export a notebook

WRITE 11 tools

Write pull_repo Pull latest commit for a repo Write create_catalog Create a Unity Catalog catalog Write create_cluster Create a new Databricks cluster Write create_job Create a Databricks job Write create_repo Create or clone a repo Write create_schema Create a schema in Unity Catalog Write create_table Create a table via SQL Write dbfs_put Upload small content to DBFS Write import_notebook Import a notebook Write install_library Install libraries on a cluster Write update_repo Update repo branch or tag

DESTRUCTIVE 5 tools

Destructive dbfs_delete Delete a DBFS path Destructive delete_job Delete a Databricks job Destructive delete_workspace_object Delete a workspace notebook or directory Destructive uninstall_library Uninstall libraries from a cluster Destructive terminate_cluster Terminate a cluster

EXECUTE 6 tools

Execute cancel_run Cancel a job run Execute execute_sql Execute a SQL statement Execute run_job Trigger a job run Execute run_notebook Submit a one-time notebook run Execute start_cluster Start a terminated cluster Execute sync_repo_and_run_notebook Pull a repo and run a notebook

// FAQ

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

The Databricks MCP Server MCP server exposes 38 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 (16), Write (11), Destructive (5), Execute (6). Each category has a recommended default policy.

Enforce policy on every Databricks MCP Server tool call.

Start from Databricks MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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43,000+ MCP servers and 220,000+ tools scanned and risk-classified.