Implementation Notes – save_analysis Tool
This memo documents the addition of the save_analysis MCP tool, which allows Claude (or any MCP client) to persist custom sentiment reviews under a specific customer_id.
Key Changes
- Updated
src/mcp_server.pyto register thesave_analysistool and validate payloads before writing to SQLite. - Added unit coverage in
tests/test_save_analysis.pyto confirm inserts, risk updates, and database integrity. - Expanded documentation in
docs/README.mdanddocs/HOW_TO_SAVE_ANALYSIS.mdwith examples and verification steps.
Supporting Assets
docs/HOW_TO_SAVE_ANALYSIS.md– step-by-step operator guide and FAQ.tests/test_save_analysis.py– regression suite executed during CI/local validation.tools/view_customer_profile.py– CLI helper to verify saved analyses.
Usage Checklist
- Run
python tools/view_customer_profile.py <CUSTOMER_ID>after the tool executes to confirm persistence. - Regenerate portfolio metrics with
python tools/view_database.pyif you need to showcase updated KPIs. - Include the
save_analysistool in demo scripts so reviewers can see the end-to-end workflow.
Status
- All seven MCP tools (analysis, risk, reporting, and persistence) are available.
- Demo dataset includes customers with stored
save_analysisentries for immediate validation. - Documentation and tests are aligned with the released functionality.