MCP server for AU Selection Analytics Portal — query CRB parity, GCOR brands, LT Review, GMS models from Kiro AI chat
Project description
AU Selection Analytics MCP Server v2.0
Read-only access to AU Selection Analytics portal data from Kiro AI chat.
Install (PyPI)
{
"mcpServers": {
"au-selection-analytics": {
"command": "uvx",
"args": ["au-selection-analytics-mcp@latest"]
}
}
}
Add the above to your ~/.kiro/settings/mcp.json. That's it.
Prerequisites
- Amazon VPN connected
mwinitrun (valid Midway session)- No AWS credentials needed
Available Tools (10 — all read-only)
| Tool | What it does |
|---|---|
get_parity_data |
GL/Channel/PF parity metrics (gaps, CTC, parity %) |
get_gcor_brands |
Brand-level GCOR data per PF tab (gaps, status, actionability) |
search_brand |
Search a brand across all 4 PFs |
get_top10 |
Top 10 brand opportunities |
get_lt_review |
LT Review tables — Top 10/20 brands per PF (Net New, Existing, Holdout) |
get_strategic_brands |
VM Bottom-Up/Input strategic brands per PF |
get_gms_models |
GMS Opportunity Model data (predicted opportunity, GVS) |
get_feedback_list |
Recent feedback items |
get_weeks |
Available data weeks |
ask_analytics |
Natural language → SQL → results (AI-powered, SELECT only) |
Example Prompts in Kiro
"Show me OHL LT Review — top brands by gaps"
"What's the status of Omron across all PFs?"
"Get Top 10 brands with highest CRBHS gaps"
"Which Cons brands have Net New actionability with >50 gaps?"
"What weeks of data are available?"
"Show me GMS opportunity for Beauty brands"
Security
- Read-only — no write/edit/delete operations exposed
- Midway auth — same as opening the portal in browser
- No AWS access — MCP calls the portal REST API, not AWS directly
Publishing (maintainer)
cd mcp/
pip install build twine
python -m build
twine upload dist/*
Version History
| Version | Date | Changes |
|---|---|---|
| 2.0.0 | 2026-06-29 | Added LT Review, GMS Models, Strategic Brands, Feedback, Weeks. All read-only. PyPI packaging. |
| 1.0.0 | 2026-06-22 | Initial: parity, GCOR, search, top10, analytics |
Project details
Release history Release notifications | RSS feed
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