texas-grocery-mcp
mgwalkerjr95/texas-grocery-mcp
An MCP server that integrates Claude and other AI agents with H-E-B grocery stores to handle product searches, cart management, and coupon clipping.
Overview
The Texas Grocery MCP is a specialized Model Context Protocol server that bridges AI chat assistants with the H-E-B grocery store platform in Texas. It features capabilities for locating nearby stores, looking up product inventory, ingredients, and nutrition facts, managing shopping carts with confirmation steps, and automatically clipping digital coupons. It also incorporates built-in session and bot-detection management via Playwright and system keyring credential storage.
Capabilities
- ▸Store search and selection
- ▸Product search and batch lookup
- ▸Detailed product info (nutrition, ingredients, allergens)
- ▸Cart management (add, remove, view)
- ▸Digital coupon discovery and clipping
- ▸Automated session refresh and bot-detection handling
- ▸Secure credential storage via system keyring
Best for
Finding nearby H-E-B store locations by address or zip code, Searching for grocery products and checking real-time pricing and stock, Reviewing ingredients, allergens, and nutritional facts for items, Managing shopping carts and adding items through natural conversation, Searching for and clipping digital coupons to save money
Works with
実タスクにどれだけ役立つか(機能の豊富さ・用途の明確さ)。 — AIによるcapabilities/use-cases解析
実装・指示の品質。 — AIによるSKILL.md/README解析
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
ありふれたラッパーではない独自性。 — AIによる独自性判定
コミュニティの採用度。 — GitHub Stars/Forks(対数スケール)
対応AIエージェントの広さ。 — AIによる対応エージェント判定
ライセンス不明/制限あり(Red)のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
This skill stores user credentials in the system keyring and uses unofficial web APIs and browser automation against HEB.com, which may violate terms of service if misused.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.