How to Use the Fairing MCP in Mastra AI

Q: How do I register the Fairing tools in a Mastra AI agent?

Instantiate the MCPClient with your Vinkius server URL and pass the registered tools into your Mastra agent configuration. The agent can then call listsurveys or getsurveydetails as part of its execution loop.

Q: Can I inspect individual survey questions using Mastra?

Yes. Your agent can call listquestions to see what is currently active, and then use getquestion to inspect the exact text and settings of any specific survey query.

Build automated post-purchase survey workflows with Mastra AI and the Fairing MCP Server.

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Connect Fairing MCP to Mastra AI

Create your Vinkius account to connect Fairing 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 Fairing with Mastra AI

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Trigger Mastra AI workflows on bad feedback

Set up automated workflows that react when customers leave poor reviews. Your Mastra agent can use this MCP Server to run `list_responses` on a schedule, checking for low ratings or negative sentiment in your post-purchase surveys. If a bad response is found, Mastra's workflow engine branches to trigger alert notifications or log a support ticket. You don't have to build complex cron jobs; the agent handles the decision logic based on the data returned.

Resilient zero-party data syncing

High-volume Shopify stores generate thousands of survey responses that can easily hit API limits. Mastra handles this by wrapping the Fairing MCP Server tools in automatic retry loops with exponential backoff. When your workflow calls `get_insights` or `list_customers`, Mastra automatically manages the network layer. If the API throttles the request, the workflow pauses and retries, ensuring your database sync never drops a record.

Automated integration auditing

Keep your marketing tech stack in check without manual supervision. Your Mastra agent can run `list_integrations` to check which third-party platforms are actively receiving your post-purchase survey data. If an essential connection drops or goes offline, the agent can cross-reference it with `get_account_info` and notify your operations team. This keeps your zero-party data flowing to your CRM without silent failures.

Setup guide

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

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

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

Instantiate the `MCPClient` with your Vinkius server URL and pass the registered tools into your Mastra agent configuration. The agent can then call `list_surveys` or `get_survey_details` as part of its execution loop.

Yes. You can configure Mastra to require manual approval before your agent executes specific tools, like pulling sensitive customer records via `get_customer_responses`.

Mastra has built-in retry mechanisms with exponential backoff. If your workflow is pulling heavy datasets using `list_responses`, Mastra will pause and retry the execution if the API rate limits are reached.

Yes. Your agent can call `list_questions` to see what is currently active, and then use `get_question` to inspect the exact text and settings of any specific survey query.

All customer survey answers and zero-party marketing data are processed in transient, zero-trust MCP environments. No data is stored or cached on the Vinkius platform, ensuring that your customer feedback remains strictly private and compliant with your local privacy policies.

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