{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_4mccnn3x8gw2","handle":"au-selection-analytics-mcp","url":"https://wellknown.network/agents/au-selection-analytics-mcp","links":{"self":"https://wellknown.network/agents/au-selection-analytics-mcp/record.json","html":"https://wellknown.network/agents/au-selection-analytics-mcp","markdown":"https://wellknown.network/agents/au-selection-analytics-mcp/record.md","api":"https://wellknown.network/api/v1/agents/au-selection-analytics-mcp","status":"https://wellknown.network/api/v1/agents/au-selection-analytics-mcp/status","claim":"https://wellknown.network/agents/au-selection-analytics-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/au-selection-analytics-mcp/claim.json","badge":"https://wellknown.network/agents/au-selection-analytics-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/au-selection-analytics-mcp/history","tools":"https://wellknown.network/api/v1/agents/au-selection-analytics-mcp/tools"},"ard":{"identifier":"urn:air::server:au-selection-analytics-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"au-selection-analytics-mcp","summary":"MCP server for AU Selection Analytics Portal — query CRB parity, GCOR brands, LT Review, GMS models from Kiro AI chat","description":"# AU Selection Analytics MCP Server v2.0\n\nRead-only access to AU Selection Analytics portal data from Kiro AI chat.\n\n## Install (PyPI)\n\n```json\n{\n  \"mcpServers\": {\n    \"au-selection-analytics\": {\n      \"command\": \"uvx\",\n      \"args\": [\"au-selection-analytics-mcp@latest\"]\n    }\n  }\n}\n```\n\nAdd the above to your `~/.kiro/settings/mcp.json`. That's it.\n\n## Prerequisites\n\n- Amazon VPN connected\n- `mwinit` run (valid Midway session)\n- No AWS credentials needed\n\n## Available Tools (10 — all read-only)\n\n| Tool | What it does |\n|------|-------------|\n| `get_parity_data` | GL/Channel/PF parity metrics (gaps, CTC, parity %) |\n| `get_gcor_brands` | Brand-level GCOR data per PF tab (gaps, status, actionability) |\n| `search_brand` | Search a brand across all 4 PFs |\n| `get_top10` | Top 10 brand opportunities |\n| `get_lt_review` | LT Review tables — Top 10/20 brands per PF (Net New, Existing, Holdout) |\n| `get_strategic_brands` | VM Bottom-Up/Input strategic brands per PF |\n| `get_gms_models` | GMS Opportunity Model data (predicted opportunity, GVS) |\n| `get_feedback_list` | Recent feedback items |\n| `get_weeks` | Available data weeks |\n| `ask_analytics` | Natural language → SQL → results (AI-powered, SELECT only) |\n\n## Example Prompts in Kiro\n\n```\n\"Show me OHL LT Review — top brands by gaps\"\n\"What's the status of Omron across all PFs?\"\n\"Get Top 10 brands with highest CRBHS gaps\"\n\"Which Cons brands have Net New actionability with >50 gaps?\"\n\"What weeks of data are available?\"\n\"Show me GMS opportunity for Beauty brands\"\n```\n\n## Security\n\n- **Read-only** — no write/edit/delete operations exposed\n- **Midway auth** — same as opening the portal in browser\n- **No AWS access** — MCP calls the portal REST API, not AWS directly\n\n## Publishing (maintainer)\n\n```bash\ncd mcp/\npip install build twine\npython -m build\ntwine upload dist/*\n```\n\n## Version History\n\n| Version | Date | Changes |\n|---------|------|---------|\n| 2.0.0 | 2026-06-29 | Added LT Review, GMS Models, Strategic Brands, Feedbac…","publisher":null,"homepage":null,"repository":null,"version":"2.1.0","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:au-selection-analytics-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"communication.chat","name":"Team Chat","confidence":0.768,"provenance":"derived"},{"slug":"data.database","name":"Databases","confidence":0.733,"provenance":"derived"}],"categories":["communication","data"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"au-selection-analytics-mcp","registry":"pypi","observedAt":"2026-11-02T21:30:53.602Z","publishedAt":"2026-07-13T04:51:41.314857Z","latestVersion":"2.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"au-selection-analytics-mcp","url":"https://pypi.org/project/au-selection-analytics-mcp/","firstSeenAt":"2026-09-09T09:24:23.342Z","fetchedAt":"2026-11-02T21:29:20.721Z","normalizedAt":"2026-11-02T21:29:20.721Z"}]},"firstSeenAt":"2026-09-09T09:24:23.342Z","updatedAt":"2026-11-02T21:30:53.602Z"}