MCP server for Databricks development and operations
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"databricks-utils-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# Databricks Utils MCP Server An MCP (Model Context Protocol) server for Databricks development and operations. Compatible with any MCP client: Claude Code, Claude Desktop, Cursor, and others. Covers ten areas: - **Unity Catalog** -- browse catalogs, schemas, tables, volumes, and functions; describe table schemas; sample table data - **SQL** -- execute SQL statements; manage SQL warehouses (list, start, stop) - **Query History** -- list recent queries; get full query details - **Jobs** -- list, inspect, trigger, cancel, and repair job runs - **Clusters** -- list (with filtering and paging), inspect, start, and terminate clusters - **Pipelines** -- list, inspect, start, and stop Delta Live Tables pipelines - **Workspace** -- browse workspace directories; export notebooks - **Files** -- list and read files from DBFS and Unity Catalog Volumes - **Secrets** -- list secret scopes and key names (values are never returned) - **Permissions** -- get Unity Catalog grants and workspace object ACLs Authentication uses the Databricks SDK's standard credential chain, which auto-discovers credentials from `~/.databrickscfg` profiles, environment variables, or Azure CLI. Raw tokens are never passed as tool parameters. See [Authentication](#authentication) below. ## Requirements - [uv](https://docs.astral.sh/uv/) - A Databricks workspace with a personal access token, OAuth config, or Azure CLI session ## Installation ### macOS ```bash brew install uv ``` ### Linux ```bash curl -LsSf https://astral.sh/uv/install.sh | sh ``` ### Windows ```powershell winget install --id=astral-sh.uv ``` ## Configuration **Claude Code** users: ```bash claude mcp add --scope user databricks-utils -- uvx databricks-utils-mcp ``` For other MCP clients, add the following to your server configuration: ```json { "mcpServers": { "databricks-utils": { "command": "uvx", "args": ["databricks-utils-mcp"] } } } ``` Restart your MCP client after adding the server. ### In…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.