MaestroQA MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MaestroQA through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using MaestroQA, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every MaestroQA tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the MaestroQA MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 7 tools from MaestroQA and passes them to the LLM
Why Use Vercel AI SDK with the MaestroQA MCP Server
Vercel AI SDK provides unique advantages when paired with MaestroQA through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same MaestroQA integration everywhere
Built-in streaming UI primitives let you display MaestroQA tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
MaestroQA + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the MaestroQA MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query MaestroQA in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate MaestroQA tools and return structured JSON responses to any frontend
Chatbots with tool use: embed MaestroQA capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with MaestroQA through natural language queries
MaestroQA MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect MaestroQA to Vercel AI SDK via MCP:
get_export_download_links
Retrieve links for a requested export
get_ticket_qa_details
Get QA details for a specific ticket
list_qa_agents
List all agents tracked in MaestroQA
list_qa_rubrics
List all available evaluation rubrics
list_qa_tickets
Use optional params for filtering. List tickets and their QA statuses
push_csat_scores
Sync external CSAT scores into MaestroQA
request_qa_data_export
Requires start_date and end_date. Initialize a raw QA data export (Async)
Example Prompts for MaestroQA in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MaestroQA immediately.
"List all support tickets awaiting QA review in MaestroQA."
"Request a raw data export for the month of July in MaestroQA."
"Show the QA score for ticket ID 'ticket-54321'."
Troubleshooting MaestroQA MCP Server with Vercel AI SDK
Common issues when connecting MaestroQA to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMaestroQA + Vercel AI SDK FAQ
Common questions about integrating MaestroQA MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect MaestroQA with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect MaestroQA to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.