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Walmart MCP Tools for AI Agents

Let an agent search Walmart's catalog and retrieve product details to compare items, answer shopping questions, and build recommendations.

Available Tools

2 tools available in this integration

Walmart.GetProductDetails

Get product details from Walmart.

Walmart.SearchProducts

Search Walmart products using SerpAPI.

Why agent-optimized tools matter

Built for intent, not API schemas

Ask the agent to "find a quiet cordless vacuum under $200 with strong ratings." Arcade helps it use the right Walmart actions without guessing product IDs, search syntax, or raw API parameters.

Up to 100x fewer tokens

Walmart searches return lightweight product results, with fuller product details retrieved only when needed. The agent can compare options without loading complete product records for every search result.

Complete the workflow end to end

Search for matching products, compare prices and ratings, retrieve details for the strongest options, check availability, and return a recommendation through one toolkit designed around the complete product-discovery task.

Make actions predictable and controlled

Arcade tools return structured results and useful errors across users and runs. Teams can apply scope restrictions, redaction, and approval policies so agents follow the same controls every time.

Securing Walmart

The more capabilities agents get, the more useful they are. However, more capabilities bring more risks of undesired effects such as data loss and exfiltration.

This is why Arcade provides you with contextual rules that dictate how and when a tool is allowed to run. Arcade’s contextual access lets you govern tool visibility and behavior at every stage of execution and control who can see a tool, what inputs are allowed, and what comes back.

Learn about Contextual Access Policies

For Walmart, you can implement some of these policies:

Access when tools are listed for a user
  • Decide which tools an agent is allowed to see at all. A tool that is never listed cannot be called, whoever is asking.
Pre-execution before each tool call
  • Inspect the inputs a call is about to run with, and block it or send it for human approval when they fall outside what the agent should do unsupervised.
Post-execution after the tool returns
  • Redact phone numbers, email addresses, and street addresses from the seller and description fields Walmart.GetProductDetails returns, so personal contact details do not reach the model.
  • Strip phone numbers, email addresses, and street addresses from free-text product listings Walmart.SearchProducts returns, so an agent cannot repeat seller or customer contact details.

How to use Walmart with your agent

Connect Walmart to an MCP client and follow the setup from authentication to your first product search. The walkthrough shows how to add the shared credential once and start sending prompts.

Your questions, answered

A Walmart MCP server exposes Walmart product-search capabilities as structured tools that an AI agent can call through the Model Context Protocol. An agent can search Walmart products and retrieve details for products it needs to evaluate.

Walmart does not provide a first-party MCP server in this integration. Arcade provides the MCP gateway and runtime around Walmart product search, including shared-key authentication, approval policies, redaction, and access from supported clients.

Arcade agents can search Walmart products and retrieve product details. The available actions are read-only; they do not place orders, manage carts, or complete purchases.

Walmart uses a shared API key or secret configured once for the integration. There are no per-user OAuth scopes in this setup; the credential's access determines which Walmart product-search requests can run.

No. Users do not each connect their own Walmart account. A shared API key or secret is configured once, brokered by Arcade, and used for product-search calls without exposing the credential to the model.

Yes. Contextual Access policies can require human approval before a consequential Walmart call, redact fields from a response, or hide access from an agent. The available Walmart actions are read-only, so there is currently no purchase or other write action to approve.

Arcade proxies Walmart API calls and does not persist product-search content as part of normal tool execution. The shared API key or secret is brokered and stored encrypted at rest, and the model never receives it.

Any framework or client that can connect to Arcade's MCP gateway or tool APIs works with Arcade Walmart, including LangChain, OpenAI Agents, CrewAI, Claude Desktop, Claude Code, Cursor, Visual Studio Code, Microsoft Copilot Studio, and GitHub Copilot.

Arcade can use the shared credential while it remains valid. If the key or secret is revoked, rotated, or otherwise stops working, Walmart calls stop until the credential is reconnected or updated.

The rate limits and quotas imposed by Walmart and the product-search provider still apply to calls through Arcade. Calls may also be subject to limits configured by the credential; no separate Walmart-specific quota is added here.

Ready to actually ship your agent?

Connect your agent to Walmart with a shared API key, agent-optimized tools and approval controls for consequential actions.

Build Your Agent Read the Walmart Quickstart