Can the AI filter catalog products by specific colors or variations?

Yes. You can instruct the agent: 'Find all Men's Shirts and filter by color: Blue and size: Medium'. The agent will natively invoke `search_filtered` passing the specific parameter facets to narrow down exactly what is requested.

Can I check autocomplete queries directly from the chat prompt?

Absolutely. Use the prompt: 'What queries do you suggest when someone types "runn"?'. The agent fires `suggest_queries` simulating a shopper and returns search trends such as 'running shoes', 'running shorts', demonstrating what customers see.

How do I ensure the integration only searches within a specific category?

You can explicitly ask the AI to restrict the search. For example: 'Using the Searchspring API, list the top 5 products strictly in the Electronics > Audio category'. The agent invokes `search_category`, returning items isolated within that structural path.

Searchspring MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Searchspring
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Searchspring as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="searchspring_agent",
    instruction=(
        "You help users interact with Searchspring "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Searchspring MCP Server

Connect your Searchspring store (now part of Athos Commerce) to any AI agent to interact with your e-commerce product catalog conversationally. Bring enterprise-grade site search and merchandising directly into your AI workflows without manually browsing storefronts.

Google ADK natively supports Searchspring as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Product Discovery — Query your catalog using natural language, check stock availability, and pull in high-resolution product images and pricing
Merchandising & Filtering — Narrow down thousands of SKUs using faceted parameters (size, color, brand) or strict price range thresholds instantly
Autocomplete Trends — Expose the exact query suggestions (autocomplete) that your customers are seeing on the front-end to gauge search behavior
Catalog Auditing — Browse through deep category trees or request specific details for a single SKU to verify if product metadata is synced correctly

The Searchspring MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Searchspring to Google ADK via MCP

Follow these steps to integrate the Searchspring MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Searchspring via MCP

Why Use Google ADK with the Searchspring MCP Server

Google ADK provides unique advantages when paired with Searchspring through the Model Context Protocol.

Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Searchspring

Production-ready features like session management, evaluation, and deployment come built-in — not bolted on

Seamless integration with Google Cloud services means you can combine Searchspring tools with BigQuery, Vertex AI, and Cloud Functions

Searchspring + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Searchspring MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Searchspring and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Searchspring tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Searchspring regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Searchspring

Searchspring MCP Tools for Google ADK (10)

These 10 tools become available when you connect Searchspring to Google ADK via MCP:

search_brand

Lists products from a specific brand

search_category

g., "Mens>Shoes"). Lists products within a specific category hierarchy

search_custom

Performs a search with custom Searchspring parameters

search_filtered

Format: "key:value,key2:value2". Performs a filtered product search

search_pagination

Retrieves a specific page of search results

search_price_range

Searches for products within a specific price range

search_products

Searches for products in the Searchspring catalog

search_sku

Retrieves details for a specific product SKU

search_sorted

Format: "key:direction" (e.g., "price:asc"). Performs a sorted product search

suggest_queries

Retrieves autocomplete query suggestions

Example Prompts for Searchspring in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Searchspring immediately.

"Search our catalog for 'wireless headphones' and sort the results by price in ascending order."

"Fetch the product specs and current availability for SKU 'LPTOM-415'."

"Find all products by the brand 'Nike' that cost between $50 and $100."

Troubleshooting Searchspring MCP Server with Google ADK

Common issues when connecting Searchspring to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Searchspring + Google ADK FAQ

Common questions about integrating Searchspring MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.