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Vinkius

Fairing MCP Server for Mastra AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Fairing 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: {
      "fairing": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Fairing Agent",
    instructions:
      "You help users interact with Fairing " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Fairing
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Fairing MCP Server

Connect your Fairing (formerly EnquireLabs) account to any AI agent and take full control of your post-purchase surveys and zero-party data through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Fairing tool infrastructure. Connect 12 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

  • Survey & Question Management — List all active questions and fetch detailed configurations for your post-purchase surveys
  • Response Tracking — List and inspect individual survey responses to understand customer sentiment and attribution
  • Zero-Party Data Analysis — Query customer-specific responses to pair survey data with your marketing profiles
  • Aggregated Insights — Extract high-level insights and performance metrics across all your survey streams
  • Integration Audit — Monitor active integrations with platforms like Klaviyo, GA4, and Meta directly from the cloud
  • Account Context — Retrieve your Fairing account details and API token identity flawlessly

The Fairing MCP Server exposes 12 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 Fairing to Mastra AI via MCP

Follow these steps to integrate the Fairing 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 12 tools from Fairing via MCP

Why Use Mastra AI with the Fairing MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Fairing 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 Fairing 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

Fairing + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Fairing 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 Fairing on a cron and store results in your database automatically

04

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

Fairing MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Fairing to Mastra AI via MCP:

01

get_account_info

Get Fairing account information

02

get_customer_responses

Get all survey responses for a specific customer

03

get_insights

Get aggregated survey insights

04

get_me

Get current API token identity

05

get_question

Get details for a specific survey question

06

get_response

Get details for a specific survey response

07

get_survey_details

Get details for a specific survey

08

list_customers

List customers who have interacted with surveys

09

list_integrations

List active Fairing integrations

10

list_questions

List all Fairing survey questions

11

list_responses

List all survey responses

12

list_surveys

List all Fairing surveys

Example Prompts for Fairing in Mastra AI

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

01

"List all active survey questions on Fairing."

02

"Show me the latest 5 survey responses."

03

"Check my active integrations on Fairing."

Troubleshooting Fairing MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Fairing + Mastra AI FAQ

Common questions about integrating Fairing 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 Fairing to Mastra AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.