Update MCP deployment to use Databricks SDK - #5
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Improves conversion of control flow, expression-based parameters, and schedule triggers. Co-authored-by: Isaac
* Revert "Update GitHub actions (#10)" This reverts commit f6b98ec. * Improve expression resolution, control flow parsing, and setup (#11) * Refactor expression parsing (#1) * Improve control flow conversion (#2) * Update repo structure * Format modules * Initial commit * Initial release * Improve preparer coverage for managed ingestion pipelines (#2) * Lakeflow connect ingestion pipeline handling * Add required connection parameters * Add marketplace file (#3) --------- Co-authored-by: Greg Hansen <163584195+ghanse@users.noreply.github.com> Co-authored-by: service-jira-pub-repo-auto <service.jira-pub-repo-auto@databricks.com>
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Changes
Add a notebook for deploying the flowx MCP server from a Databricks environment using the Databricks SDK.
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