How to Use the Zenserp MCP in Mastra AI

Q: Can I use Zenserp to get local business reviews in my Mastra AI workflow?

Absolutely. You just need to call searchmaps. The structured output of the tool gives you listings and review data that can drive subsequent actions in your process.

Q: Does Zenserp support retrieving image results with Mastra AI?

Yes, use the searchimages tool. This allows your workflow to gather visual search results from Google and incorporate them into a report or decision path.

Build reliable, multi-step workflows with Mastra AI using Zenserp's search tools.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Zenserp MCP to Mastra AI

Create your Vinkius account to connect Zenserp to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Zenserp with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Reliable Search Data Capture in Mastra AI

When your workflow needs to know what people are searching for, call `search_google`. The tool returns structured data that allows the next step—maybe a conditional branch—to execute based on search volume or location. The MCP Server handles retries with exponential backoff if a connection fails, meaning your critical searches won't break the entire workflow.

Comparing Market Data Across Engines

You need to compare pricing from different sources? Set up a sequence that uses `search_shopping` and then follows up with `search_yandex`. Mastra AI ensures both calls run, gathering comprehensive product availability data. It's also useful for comparison when you use `search_bing` alongside standard Google results.

Executing Complex Global Research Workflows

Drafting a report on international news? Your workflow can automatically run `search_news` and then follow up with `search_duckduckgo`. This ensures you gather articles from different regional sources. The entire process is robust, making it ideal for complex tasks that require multiple data points over time.

Setup guide

Set up Zenserp MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Zenserp tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

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

const mcpClient = new MCPClient({
  id: "zenserp-mcp-client",
  servers: {
    "zenserp-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Zenserp Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Zenserp tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Zenserp transactions"
);
console.log(result.text);

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zenserp. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Zenserp now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Zenserp MCP in Mastra AI

You list Zenserp servers in your MCPClient setup. Your agent then treats tools like `search_google` as reliable steps, allowing for complex conditional branching based on search outcomes.

Mastra AI automatically retries the tool call using exponential backoff. You don't have to write failure logic; the framework handles keeping your workflow running.

This MCP Server touches search query strings and location data. All communication must pass through the provided endpoint token, maintaining a controlled data flow for your workflows.

Absolutely. You just need to call `search_maps`. The structured output of the tool gives you listings and review data that can drive subsequent actions in your process.

Yes, use the `search_images` tool. This allows your workflow to gather visual search results from Google and incorporate them into a report or decision path.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript