MCP Databricks Server

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作者：RafaelCartenet

Model Context Protocol (MCP) server for Databricks that empowers AI agents to autonomously interact with Unity Catalog metadata. Enables data discovery, lineage analysis, and intelligent SQL execution. Agents explore catalogs/schemas/tables, understand relationships, discover notebooks/jobs, and execute queries - greatly reducing ad-hoc query time.

databricksllmmcpunitycatalog

安装

$pip install -r requirements.txt

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工具（6 个）

catalog_name

The name of the Unity Catalog to describe (e.g., prod, dev, system).

full_table_name

The fully qualified three-part name of the table (e.g., catalog.schema.table).

include_columns

If True, lists tables with their columns. Defaults to False for a briefer summary.

include_lineage

Set to True to fetch comprehensive lineage (tables, notebooks, jobs). Defaults to False. May take longer to retrieve but provides rich context for understanding data dependencies and enabling code exploration.

schema_name

The name of the schema to describe.

sql

The complete SQL query string to execute.