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Texas Grocery

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MCP server for HEB grocery store integration - search products, manage carts, clip coupons, and more

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "texas-grocery": {
      "command": "npx",
      "args": [
        "-y",
        "texas-grocery"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

πŸ›’ Texas Grocery MCP

PyPI version License: MIT CI

πŸ€– Let AI do your grocery shopping! An MCP server that connects Claude to H-E-B grocery stores.

Search products, manage your cart, clip coupons, and more β€” all through natural conversation.

⚠️ This project is not affiliated with H-E-B. It uses unofficial web APIs and browser automation against HEB.com; use responsibly and ensure your usage complies with applicable terms and laws.


✨ Features

FeatureDescription
πŸͺ Store SearchFind HEB stores by address or zip code
πŸ” Product SearchSearch products with pricing and availability
πŸ›’ Cart ManagementAdd/remove items with human-in-the-loop confirmation
πŸ“‹ Product DetailsIngredients, nutrition facts, allergens, warnings
🎟️ Digital CouponsList, search, and clip coupons to save money
πŸ”„ Auto Session RefreshHandles bot detection automatically (~15 seconds)

πŸ“¦ Installation

Quick Start

Terminal
pip install texas-grocery-mcp

Full Installation (Recommended) πŸš€

Terminal
pip install texas-grocery-mcp[browser]
playwright install chromium

This enables fast auto-refresh (~15 seconds) using an embedded browser.

Prerequisites

For cart operations and session management, you'll also need Playwright MCP:

Terminal
npm install -g @anthropic-ai/mcp-playwright

βš™οΈ Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

config.json
{
  "mcpServers": {
    "playwright": {
      "command": "npx",
      "args": ["@anthropic-ai/mcp-playwright"]
    },
    "heb": {
      "command": "uvx",
      "args": ["texas-grocery-mcp"],
      "env": {
        "HEB_DEFAULT_STORE": "590"
      }
    }
  }
}

Environment Variables

VariableDescriptionDefault
HEB_DEFAULT_STOREDefault store IDNone
REDIS_URLRedis cache URLNone (in-memory)
LOG_LEVELLogging levelINFO

🎯 Usage Examples

πŸͺ Finding a Store

Code
User: Find HEB stores near Austin, TX

Agent uses: store_search(address="Austin, TX", radius_miles=10)

πŸ” Searching Products

Code
User: Search for organic milk

Agent uses: store_change(store_id="590")
Agent uses: product_search(query="organic milk")

πŸ“‹ Getting Product Details

Code
User: What are the ingredients in H-E-B olive oil?

Agent uses: product_search(query="heb olive oil")
Agent uses: product_get(product_id="127074")
# Returns: ingredients, nutrition facts, warnings, dietary attributes

The product_get tool returns:

  • πŸ₯— Ingredients - Full ingredient statement
  • πŸ“Š Nutrition Facts - Complete FDA panel
  • ⚠️ Safety Warnings - Allergen info and precautions
  • 🌿 Dietary Attributes - Gluten-free, organic, vegan, kosher, etc.
  • πŸ“ Store Location - Aisle or section

πŸ›’ Adding to Cart

Code
User: Add 2 gallons of milk to my cart

Agent uses: cart_add(product_id="123456", quantity=2)
# Returns preview for confirmation

Agent uses: cart_add(product_id="123456", quantity=2, confirm=true)
# βœ… Added to cart!

🎟️ Clipping Coupons

Code
User: Find coupons for cereal

Agent uses: coupon_search(query="cereal")
Agent uses: coupon_clip(coupon_id="ABC123", confirm=true)
# βœ… Coupon clipped!

πŸ” Session Management

HEB uses bot detection that expires every ~11 minutes. This MCP handles it automatically!

⚑ Fast Auto-Refresh (Recommended)

With [browser] support installed:

Code
Agent uses: session_refresh()
# βœ… Completes in ~10-15 seconds

πŸ”‘ Auto-Login

Save your credentials once for automatic login:

Code
Agent uses: session_save_credentials(email="you@email.com", password="...")
# Credentials stored securely in system keyring
# Future session refreshes will auto-login!

🧰 Available Tools

πŸͺ Store Tools

ToolDescription
store_searchFind stores by address
store_changeSet preferred store
store_get_defaultGet current default store

πŸ” Product Tools

ToolDescription
product_searchSearch products with pricing
product_search_batchSearch multiple products (up to 20)
product_getGet detailed product info

πŸ›’ Cart Tools

ToolDescription
cart_check_authCheck authentication status
cart_getView cart contents
cart_addAdd item (requires confirmation)
cart_add_manyBulk add multiple items
cart_removeRemove item

🎟️ Coupon Tools

ToolDescription
coupon_listList available coupons
coupon_searchSearch coupons by keyword
coupon_clipClip a coupon
coupon_clippedList your clipped coupons

πŸ” Session Tools

ToolDescription
session_statusCheck session health
session_refreshRefresh/login session
session_save_credentialsSave credentials for auto-login
session_clearLogout

πŸ“š Documentation

  • πŸ”§ Troubleshooting Guide - Solutions for common issues
  • 🀝 Contributing - How to contribute
  • πŸ“ Changelog - Version history
  • πŸ”’ Security - Security policy

πŸ› οΈ Development

bash
# Clone repository
git clone https://github.com/mgwalkerjr95/texas-grocery-mcp
cd texas-grocery-mcp

# Install with dev dependencies
pip install -e ".[dev]"
playwright install chromium

# Run tests
pytest tests/ -v

# Linting & type checking
ruff check src/
mypy src/

🐳 Docker

bash
docker-compose up --build

πŸ—οΈ Architecture

Code
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                    User's MCP Environment                    β”‚
β”‚                                                             β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚
β”‚  β”‚  🎭 Playwright MCP  β”‚    β”‚   πŸ›’ Texas Grocery MCP      β”‚ β”‚
β”‚  β”‚  (Browser Auth)     │───▢│   (Grocery Logic)           β”‚ β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚
β”‚                                        β”‚                     β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                         β”‚
                                         β–Ό
                                   🌐 HEB GraphQL API

πŸ“„ License

MIT Β© Michael Walker


Made with ❀️ in Texas 🀠

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about Texas Grocery

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "texas-grocery": { "command": "npx", "args": ["-y", "texas-grocery"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
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Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
28Quality signal: Emerging Β· 28/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools12/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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