Language:JapaneseEnglish

oracle-ai-data-platform-workbench-engineer-agent Claude Code Plugin

Author
Oracle
Category
Development
Topics
Data Engineering & Analytics · Databases & Storage · Enterprise Business Platforms
License
MIT(opens in a new tab)
Version
0.5.0
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-10-16 (UTC)
Source (GitHub) last updated
2026-10-05 (UTC) (30 days ago)

The explanation below is AI-generated. Please verify it against the sources.

It also handles platform governance such as role and permission management, credential storage, Delta Sharing, audit logs, Git integration, bundles, and MLOps/MLflow workflows. Execution runs through the official Oracle aidp CLI or OCI command-line calls, with a bundled helper script handling interactive Spark SQL sessions, and no separate MCP server is required. The README describes it as complementary to other Oracle analytics tools rather than a replacement for them.

About the service

Oracle AI Data Platform is described in the homepage material as a cloud service for cataloging, ingesting, and analyzing organizational data, providing the underlying platform for building data analytics pipelines. This plugin authenticates against that platform using OCI CLI credentials and issues calls against its REST API to perform catalog, cluster, pipeline, and governance operations.

What you can do with oracle-ai-data-platform-workbench-engineer-agent

  • Discover and explore the data catalog, building a grounding cache for accurate context
  • Ingest files, profile data, and configure data quality rules
  • Author and repair pipelines, provision and manage clusters, and debug jobs through the Spark UI
  • Manage governance features such as roles, the credential store, Delta Sharing, and audit logs
  • Work with Git integration, deployment bundles, and MLOps/MLflow
  • Build agent flows, knowledge bases (RAG), and reusable tools

Sources

Back to list