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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
  • mwinit run (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

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