Factual package intelligence from PyPI
Advanced MCP server for Databricks workspace intelligence — dependency scanning, impact analysis, notebook review, and job/pipeline operations.
pip install databricks-advanced-mcp
PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.30.0>=2.0.0>=3.0>=2.0.0>=2.0.0>=25.0.0databricks-advanced-mcp publishes 1 wheel and 1 source archive for version 0.0.7. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .