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Google Shopping MCP Tools for AI Agents

Search Google Shopping for products related to a query and return relevant product results to your agent.

Available Tools

1 tools available in this integration

GoogleShopping.SearchProducts

Search for products on Google Shopping related to a given query.

Why agent-optimized tools matter

Built for intent, not API schemas

Ask the agent to "find five wireless headphones under $150 with strong noise cancellation and compare them." Arcade helps it use the right Google Shopping search without guessing the query structure or result fields.

Up to 100x fewer tokens

Google Shopping search returns focused product results instead of requiring the agent to load an entire catalog. It gets the matches, prices, sellers, and links needed to compare options without pulling unrelated products into the model.

Complete the workflow end to end

Search for products, narrow the results by requirements, compare the best matches, and return prices and links through one toolkit designed around the complete product-research 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 Google Shopping

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 Google Shopping, 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 merchant phone numbers, street addresses, and other contact details from GoogleShopping.SearchProducts results before they reach the model, so an agent cannot expose seller information that your organization has not approved.

How to use Google Shopping with your agent

Connect Google Shopping to your MCP client and authenticate it once with a shared API key. Follow the setup from client configuration to your first product search.

Your questions, answered

A Google Shopping MCP server exposes product search as a structured capability that an AI agent can call through the Model Context Protocol. The agent can search Google Shopping for products related to a user's query and return matching results.

Google Shopping does not provide a first-party MCP server to compare with. Arcade provides the MCP gateway and runtime, including shared-key authentication, approval policies, response redaction, and access controls that work across supported clients.

Arcade agents can search Google Shopping for products related to a query. The integration is read-only: it does not place orders, manage carts, update listings, or perform other shopping actions.

Google Shopping uses a shared API key or secret configured once for the integration. Search requests can use whatever access and quota that credential provides; there are no per-user OAuth scopes to grant.

No. Users do not connect individual Google Shopping accounts through this integration. One shared API key or secret is configured once, brokered by Arcade rather than handed to the model, and searches run through that credential.

Yes. Contextual Access policies can require human approval before a Google Shopping search call, although the available action is read-only and does not place orders or change product data. The call proceeds only after the policy's conditions are satisfied.

Arcade proxies Google Shopping API calls and does not persist your content as part of normal tool execution. The shared credential 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, including LangChain, OpenAI Agents, CrewAI, Claude Desktop, Claude Code, Cursor, Visual Studio Code, Microsoft Copilot Studio, and GitHub Copilot.

Arcade can continue refreshing access while the configured credential remains valid. If the key or secret is revoked, rotated, expires, or can no longer be used, searches stop until the credential is reconnected or updated.

Searches are subject to the quotas and rate limits imposed by Google Shopping and the configured shared credential, along with any Arcade request limits. The integration does not provide a separate guaranteed quota.

Ready to actually ship your agent?

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

Build Your Agent Read the Google Shopping Quickstart