MCP server for AU Selection Analytics Portal — query CRB parity, GCOR brands, LT Review, GMS models from Kiro AI chat
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"au-selection-analytics-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# AU Selection Analytics MCP Server v2.0 Read-only access to AU Selection Analytics portal data from Kiro AI chat. ## Install (PyPI) ```json { "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) ```bash 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, Feedbac…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.