confirmation-outlook-mcp
Predictive supply-chain MCP server that forecasts material confirmation risks and enables AI clients to interact with the system via natural language.
README
Confirmation Outlook — Northpoint Manufacturing
A full-stack demo of a predictive supply-chain tool: instead of reporting last week's order-confirmation rate, it forecasts which materials will miss confirmation next week, splits the at-risk book into recoverable vs structural, and hands an operator the lever to pull.
Northpoint Manufacturing is fictional. Every row of data is synthetic — generated by a seeded, documented generator — and every number on screen is then computed by a real engine that has no access to the generator's hidden state. The build fails if the engine can't honestly recover the planted structure (42-assertion validation gate).
Built by Ian Provencher. A de-identified rebuild of a production pattern from my supply-chain work — no proprietary data, code, or branding.
What it demonstrates
| Layer | What's real about it |
|---|---|
Predictive engine (app/predict.py) |
Every probability is a measured frequency over week-to-week transitions — a risk table by (failing now × receipt-short × stressed) with min-support fallback, not a fitted black box. |
| Held-out validation | The final week is excluded from calibration and predicted from the prior week's signals: ~97% of actual failures inside the flagged register, ~80% worklist precision. The persistence floor is reported separately from the leading signal, so no metric takes credit it didn't earn. |
| Data layer | SQLite — synthetic world + precomputed warm state baked at Docker build time (cold start < 2 s). Rollups run live SQL. |
| Serving | One process: FastAPI REST (/api/*), MCP (/mcp/) for AI clients, and the React front, same validated numbers everywhere. |
AI chat (/api/ask) |
Claude answering over the same read-only tools, hard-capped for public use (per-IP sliding window + daily budget, app/ratelimit.py). |
Front (web/) |
Vite + React, hand-rolled SVG charts, dark/light instrument theme, glossary tooltips, xlsx exports. |
Run it
docker compose up --build # then open http://localhost:7860
Or bare Python (3.12+):
pip install -r requirements.txt
python -m app.build_db # generate + bake + 42-assertion selfcheck
cd web && npm ci && npm run build && cd ..
uvicorn app.api:app --port 7860
The Ask tab needs ANTHROPIC_API_KEY in the environment; everything else runs keyless.
Verify it yourself
python -m app.selfcheck— the validation gate (headline memoryless, risk gradient monotone, held-out recall/precision, partition assertions, measured-vs-planted recovery).pytest tests— API contract tests.docs/METHODOLOGY.md— how the synthetic world is constructed and why the validation is honest.- Every displayed number is one
curlaway:/api/headline,/api/forecast,/api/register.
Architecture
generate.py ──> SQLite (synthetic world) ──> engine.py / predict.py ──> bake.py (warm state)
│
service.py (one JSON-safe source of truth)
│ │ │
REST /api/* MCP /mcp/ React front /
└── agent.py (Claude tool loop, rate-limited)
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