How to Use the Bazaarvoice MCP in Mastra AI

Q: Does Mastra AI support human-in-the-loop for Bazaarvoice actions?

It does. You can set the requireToolApproval flag when configuring your Mastra AI agent. When enabled, the workflow will pause and wait for a person to approve the action before the agent proceeds, like before it posts a public answer to a question.

Build resilient automations for the Bazaarvoice MCP Server with Mastra AI. Automatically handle new reviews, questions, and more.

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Connect Bazaarvoice MCP to Mastra AI

Create your Vinkius account to connect Bazaarvoice 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 Bazaarvoice with Mastra AI

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Automate Your Review Response Workflow

Create a Mastra AI workflow that keeps an eye on new reviews. You can schedule it to run `list_reviews` every hour. If it finds a review with a one-star rating, it can use `get_review` to grab the details and then trigger another tool to create a support ticket. This is where Mastra's conditional logic shines. You can build branches in your workflow: if the rating is below 3, alert support; if it's 5, post it to a Slack channel. This MCP server gives your agent the data it needs to make those decisions.

Manage Customer Questions Automatically

Set up an agent to tackle incoming customer questions. A workflow can periodically call `list_questions` to find unanswered ones. The agent can then try to find an answer by using `search_reviews` for keywords from the question. Mastra's built-in retry logic makes these workflows tough. If the Bazaarvoice API has a momentary glitch, your agent won't just crash. It will back off and try again, ensuring your Q&A pipeline doesn't drop incoming questions.

Build Custom Bazaarvoice Reports with Mastra AI

Put your reporting on autopilot. A scheduled Mastra AI agent can use this MCP Server to pull fresh data every morning. It can run `get_statistics` for your key products and `list_reviews` to find the most recent feedback. Your workflow then takes over, formatting that data into a summary. The agent can then send a daily digest to your team's inbox or a database. You get consistent insight without the manual work.

Setup guide

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

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

const result = await agent.generate(
  "List recent Bazaarvoice 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 Bazaarvoice. 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 Bazaarvoice MCP in Mastra AI

After installing the Mastra MCP package, you instantiate a new `MCPClient` pointing to your Vinkius URL. Call the `listTools()` method and spread the result into your Agent's tool configuration. Mastra's engine will then use those tools to execute your workflow.

Yes, that's exactly what it's for. A typical workflow might use `get_review` from this server, and if the review is negative, use a tool from another MCP server to create a Jira ticket or send a message through Twilio.

It does. You can set the `requireToolApproval` flag when configuring your Mastra AI agent. When enabled, the workflow will pause and wait for a person to approve the action before the agent proceeds, like before it posts a public answer to a question.

Mastra AI is designed for this. It has automatic retries with exponential backoff built in. If a call to `list_reviews` fails, the agent will wait and try again a few times before marking the step as failed, making your automations much more reliable.

Absolutely. The MCP server acts as a secure proxy for your product, review, and question data. Your agent's requests are handled in isolated, single-use sandboxes on Vinkius, with no data retained after your workflow step completes.

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