2,500+ MCP servers ready to use
Vinkius

MaestroQA MCP Server for Mastra AI 7 tools — connect in under 2 minutes

Built by Vinkius GDPR 7 Tools SDK

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "MaestroQA Agent",
    instructions:
      "You help users interact with MaestroQA " +
      "using 7 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
MaestroQA
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 MaestroQA MCP Server

Connect your MaestroQA account to any AI agent to automate your customer service quality assurance and performance reporting. This MCP server enables your agent to list tickets, monitor QA scores, request detailed data exports, and sync external CSAT scores directly from natural language interfaces.

Mastra's agent abstraction provides a clean separation between LLM logic and MaestroQA tool infrastructure. Connect 7 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

  • Score Monitoring — List support tickets and retrieve real-time Internal Quality Scores (IQS) and grading statuses
  • Automated Exporting — Initialize asynchronous raw data exports for deep analysis of rubric answers and performance
  • Agent Oversight — List all support agents and available evaluation rubrics to organize your QA process
  • CSAT Synchronization — Push external customer satisfaction scores into MaestroQA to correlate them with internal QA grades
  • Detailed Auditing — Retrieve complete metadata and scoring breakdowns for any individual ticket

The MaestroQA MCP Server exposes 7 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 MaestroQA to Mastra AI via MCP

Follow these steps to integrate the MaestroQA 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 7 tools from MaestroQA via MCP

Why Use Mastra AI with the MaestroQA MCP Server

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

01

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

MaestroQA + Mastra AI Use Cases

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

01

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

02

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

04

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

MaestroQA MCP Tools for Mastra AI (7)

These 7 tools become available when you connect MaestroQA to Mastra AI via MCP:

01

get_export_download_links

Retrieve links for a requested export

02

get_ticket_qa_details

Get QA details for a specific ticket

03

list_qa_agents

List all agents tracked in MaestroQA

04

list_qa_rubrics

List all available evaluation rubrics

05

list_qa_tickets

Use optional params for filtering. List tickets and their QA statuses

06

push_csat_scores

Sync external CSAT scores into MaestroQA

07

request_qa_data_export

Requires start_date and end_date. Initialize a raw QA data export (Async)

Example Prompts for MaestroQA in Mastra AI

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

01

"List all support tickets awaiting QA review in MaestroQA."

02

"Request a raw data export for the month of July in MaestroQA."

03

"Show the QA score for ticket ID 'ticket-54321'."

Troubleshooting MaestroQA MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

MaestroQA + Mastra AI FAQ

Common questions about integrating MaestroQA 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 MaestroQA to Mastra AI

Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.