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Searchspring MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Searchspring through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "searchspring": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Searchspring Agent",
    instructions:
      "You help users interact with Searchspring " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Searchspring?"
  );
  console.log(result.text);
}

main();
Searchspring
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* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Searchspring tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Searchspring MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Searchspring via MCP

Why Use Mastra AI with the Searchspring MCP Server

Mastra AI provides unique advantages when paired with Searchspring through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Searchspring without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Searchspring tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Searchspring + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Searchspring MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Searchspring, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Searchspring as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Searchspring on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Searchspring tools alongside other MCP servers

Searchspring MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Searchspring to Mastra AI via MCP:

01

search_brand

Lists products from a specific brand

02

search_category

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

03

search_custom

Performs a search with custom Searchspring parameters

04

search_filtered

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

05

search_pagination

Retrieves a specific page of search results

06

search_price_range

Searches for products within a specific price range

07

search_products

Searches for products in the Searchspring catalog

08

search_sku

Retrieves details for a specific product SKU

09

search_sorted

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

10

suggest_queries

Retrieves autocomplete query suggestions

Example Prompts for Searchspring in Mastra AI

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

01

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

02

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

03

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

Troubleshooting Searchspring MCP Server with Mastra AI

Common issues when connecting Searchspring to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Searchspring + Mastra AI FAQ

Common questions about integrating Searchspring MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Searchspring to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.