How to Use the GoZen Testimonials MCP in Mastra AI

Q: How do I add GoZen Testimonials to a Mastra AI agent?

Install the package using npm install @mastra/mcp@latest and initialize the client. You can then list the tools using mcpClient.listTools() and register them directly with your agent.

Q: Can I require manual approval for GoZen Testimonials actions in Mastra AI?

Yes, you can use the requireToolApproval flag on sensitive tools like deletetestimonial or approvetestimonial. This pauses the agent until a human reviews and confirms the action.

Q: How do I check if the GoZen API is online?

Use the checkgozenstatus tool inside your agent's startup sequence. This ensures your workflow doesn't attempt to process testimonials if the underlying service is undergoing maintenance.

Q: What happens to my GoZen Testimonials data in Mastra AI?

Customer names and video URLs fetched by gettestimonial are processed inside Vinkius's zero-trust environment. No data is stored persistently on the proxy, keeping your customer records secure through the MCP Server connection.

Build resilient, multi-step social proof workflows using Mastra AI and this GoZen Testimonials MCP Server.

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Connect GoZen Testimonials MCP to Mastra AI

Create your Vinkius account to connect GoZen Testimonials 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.

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Setup GoZen Testimonials with Mastra AI

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Conditional Testimonial Review in Mastra AI

The `list_testimonials` tool pulls recent customer video submissions into your Mastra agent workflow. The agent evaluates the sentiment or tags of each submission and routes them accordingly. You can build conditional branches that run `approve_testimonial` only if the submission meets specific criteria. If the API rate limits your request, Mastra's built-in retry engine handles the backoff automatically.

Multi-Step Campaigns via GoZen Testimonials MCP Server

The `create_form` tool builds new testimonial collection pages during automated customer outreach flows. Your agent uses this tool to spin up a custom page and immediately logs the details. Mastra's workflow engine lets you chain this action with email notifications. If the form creation succeeds, the agent triggers the next step to send the link to the customer, retrying the step if the network hiccups.

Human-in-the-Loop Widget Creation

The `create_widget` tool generates embeddable displays for your website. Your agent suggests a new widget layout by checking existing ones with `list_widgets` and preparing the configuration. By setting `requireToolApproval` in your Mastra client, you ensure that no widget goes live without manual confirmation. The agent pauses the workflow, waits for your OK, and then executes the tool.

Setup guide

Set up GoZen Testimonials 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 GoZen Testimonials 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: "gozen-testimonials-mcp-client",
  servers: {
    "gozen-testimonials-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GoZen Testimonials. 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.

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Common questions about GoZen Testimonials MCP in Mastra AI

Install the package using `npm install @mastra/mcp@latest` and initialize the client. You can then list the tools using `mcpClient.listTools()` and register them directly with your agent.

Yes, you can use the `requireToolApproval` flag on sensitive tools like `delete_testimonial` or `approve_testimonial`. This pauses the agent until a human reviews and confirms the action.

Mastra automatically detects the transport type and handles reconnections. If `list_testimonials_by_form` fails due to network issues, the workflow engine retries the call using exponential backoff.

Use the `check_gozen_status` tool inside your agent's startup sequence. This ensures your workflow doesn't attempt to process testimonials if the underlying service is undergoing maintenance.

Customer names and video URLs fetched by `get_testimonial` are processed inside Vinkius's zero-trust environment. No data is stored persistently on the proxy, keeping your customer records secure through the MCP Server connection.

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