Databricks Unity Catalog MCP Server
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- FlicenseNot gradedqualityDmaintenanceEnables AI assistants like Claude to interact with Databricks workspaces through custom prompts and tools. Supports running SQL queries, managing clusters, creating jobs, and accessing workspace resources via the Databricks SDK.2-
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants like Claude to interact with Databricks workspaces through a secure, authenticated interface. Supports custom prompts and tools that leverage the Databricks SDK for workspace management, job execution, and SQL operations.-
- AlicenseNot gradedqualityCmaintenanceEnables natural-language interaction with a Databricks Lakehouse, including running SQL on warehouses, tracking and canceling long-running queries, and exploring Unity Catalog metadata via the workspace REST API.MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for cluster management, SQL execution, and job operations via the Databricks SDK.-
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for cluster management, SQL execution, and job operations via the Databricks SDK.19-
- FlicenseNot gradedqualityNot gradedmaintenanceEnables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for cluster management, SQL execution, and job operations via the Databricks SDK.-
TDQS
Scored across 8 tools
The tools generally target distinct resources and actions, but the three table-oriented tools (list by schema, fuzzy name search, and details) could be confused at a glance despite clear descriptions. Job-related tools are clearly separated between listing, details, and runs.
Most names follow a consistent kebab-case get-<resource> pattern, with only find-tables-by-name deviating in verb choice. The convention is still readable and predictable overall.
Eight tools are well-scoped for a read-only Unity Catalog and jobs exploration server. Each tool covers a distinct browsing or detail-retrieval need without excessive surface area.
The surface supports catalog, schema, table, and job discovery plus details and runs, but it is entirely read-only and lacks operations such as creating/updating/deleting assets, triggering jobs, or accessing permissions/lineage. These gaps limit it to exploration workflows rather than full lifecycle management.