DealWatch
LocalAbout DealWatch
DealWatch is a local-first price monitoring project for people tracking grocery products across vendors. It combines price history and alerts with a comparison dashboard and browser extension, while keeping data on the local machine by default.
Key features
- 01Monitor prices across vendors
- 02Review price history
- 03Score prices and send alerts
- 04Compare products in a dashboard
- 05Use a browser extension
Use cases
- 01Compare a product's prices across vendors
- 02Review how a product's price changed
- 03Check price information before checkout
MCP support
The README does not describe the MCP server interface or capabilities.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README
dealwatcherer
let prices fight, you sit and watch
What You Get • Install • How It Work • Ecosystem
dealwatcherer watches the products you care about across vendors, replays history, and tells you when to pull the trigger. Browser extension and dashboard included.
┌──────────────────────────────────────┐
│ LOCAL-FIRST ████████ 100% │
│ SOURCE-TRACEABLE ████████ 100% │
│ TYPING REQUIRED ░░░░░░░░ 0% │
│ VIBES ████████ ZERO │
│ FILLER│
└──────────────────────────────────────┘
Track prices across vendors. Get the receipt before you check out.
What You Get
| Surface | What |
|---|---|
dealwatcherer core | Price-monitoring engine. Crawl, normalize, score, alert. |
dealwatcherer frontend | Compare-first dashboard. See the deal, not the noise. |
browser extension | Right-click any product. dealwatcherer does the rest. |
dealwatcherer worker | Scheduled checks, alembic-backed history. |
public skills | Drop into Claude/Codex/OpenClaw and let the agent shop. |
Important
Local-first by default. No silent telemetry. No cloud round-trip. Your data stays on your machine until you explicitly ship it somewhere.
Install
git clone https://github.com/xiaojiou176-open/dealwatcherer.git
cd dealwatcherer
# follow the per-stack quickstart in INSTALL.md or docs/
Three commands. No curl | sh. No login. Read what you run.
Install break? Open your favorite agent and say "Read AGENTS.md and bootstrap dealwatcherer for me." Agent fix own brain. Long version: docs/.
How It Work
The repo is seven layers — exactly the seven commits in git log. New work goes in as small named PRs. No 50-file mystery commits.
| Layer | What |
|---|---|
chore: scaffold | License, governance, hygiene gates, CI scaffolding. |
feat(core) | The primary engine. The reason dealwatcherer exists. |
feat(modules) | Packages, adapters, services, plugins. The second floor. |
feat(contracts) | Schemas, configs, public boundaries. Other code talks here. |
test: | Receipts. Everything in this layer must run. |
feat(ops) | Scripts, infra, CI helpers, build glue. |
docs: | Public docs surface. The pretty face. |
git log reads like a building floor plan. Look once, know the whole shape.
Ecosystem
dealwatcherer lives in the yard family: seven yards. one philosophy: structured input, structured output, structured proof.
| Repo | What |
|---|---|
| switchyard | model & agent runtime switch board |
| browserclickyard | your AI clicks, your browser obeys |
| noteyard | your Apple Notes never really die |
| dealwatcherer (you here) | let prices fight, you sit and watch |
| docyard | docs site in, markdown out, no scraping by hand |
| fileyard | messy folders in, organized library out |
| proofyard | every claim ships with its receipt |
Cross-family taste: BeamMe · BrewMe · OpenVibeCoding · proofyard.
Star This Repo
If dealwatcherer saves you a click, an hour, or a headache — star costs zero. Fair trade. ⭐
Also by Yifeng[Terry] Yu
- switchyard — model & agent runtime switch board
- browserclickyard — your AI clicks, your browser obeys
- BeamMe — beam your agent config to any planet
- BrewMe — wake up, news already brewed
- OpenVibeCoding — AI codes overnight, you ship in the morning
License
MIT — small print, big freedom.
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.