Documentation
Back to CaptainMCP Overview
Core Features
Explore the tools and REST API wrappers exposed by CaptainMCP to your AI clients.
Job Orchestration
CaptainMCP allows the AI to securely trigger and monitor Oracle EPM Jobs. This includes:
- Business Rules: Execute calculations, consolidations, and custom Groovy scripts with parameters.
- Data Integrations: Run Data Management load rules to pull data from ERPs.
- Clear/Copy Data: Safely execute data management tasks across slices.
Metadata & Variables
Give your AI the ability to answer complex structural questions about your EPM cubes:
- Hierarchy Traversal: Query parent/child relationships, aliases, and UDAs.
- Substitution Variables: Read and update global or application-level variables (e.g., advancing the `CurMo` variable).
- Smart Lists: Retrieve Smart List definitions and mappings.
Data Slice Management
AI agents can extract targeted data slices to perform real-time variance analysis or validations:
- Export Data: Run MDX queries or data export jobs to retrieve specific intersections.
- Import Data: Push validated, AI-generated data sets back into the application.