Five9 QM MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Five9 QM 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 Five9 QM, 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 Five9 QM MCP Server
Connect your Five9 Quality Management (QM) account to any AI agent and automate your quality assurance workflows through the Model Context Protocol (MCP). Five9 QM (formerly Virtual Observer) is a powerful tool for monitoring and scoring agent performance across voice and digital channels. Now, you can manage evaluations and review interactions directly through natural conversation.
The Vercel AI SDK gives every Five9 QM tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Evaluation Management — List all completed evaluations, fetch detailed scores and feedback, and submit new evaluations instantly.
- Interaction Review — Access recorded voice and digital interactions available for quality review and retrieve their full metadata.
- Recording Retrieval — Generate temporary, secure links to audio recordings for direct playback and analysis.
- Form Inspection — List all active quality evaluation forms and fetch their specific question and scoring structures.
- Calibration Monitoring — Track active and completed calibration sessions to ensure scoring consistency across your QA team.
- Agent & User Discovery — List agents available for evaluation and manage QM system users for better team context.
- High-level Reporting — Fetch QM summary metrics to understand organization-wide quality trends and performance.
The Five9 QM MCP Server exposes 12 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 Five9 QM to Vercel AI SDK via MCP
Follow these steps to integrate the Five9 QM 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 12 tools from Five9 QM and passes them to the LLM
Why Use Vercel AI SDK with the Five9 QM MCP Server
Vercel AI SDK provides unique advantages when paired with Five9 QM 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 Five9 QM integration everywhere
Built-in streaming UI primitives let you display Five9 QM 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
Five9 QM + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Five9 QM MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Five9 QM in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Five9 QM tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Five9 QM capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Five9 QM through natural language queries
Five9 QM MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Five9 QM to Vercel AI SDK via MCP:
create_evaluation
Submit a new evaluation
get_evaluation
Get evaluation details
get_evaluation_form
Get form structure
get_qm_interaction
Get interaction metadata
get_qm_summary
Get QM summary report
get_recording_link
Get audio recording link
list_calibrations
List calibration sessions
list_evaluation_forms
List evaluation forms
list_evaluations
List agent evaluations
list_qm_agents
List evaluatable agents
list_qm_interactions
List recorded interactions
list_qm_users
List QM system users
Example Prompts for Five9 QM in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Five9 QM immediately.
"List the last 5 completed agent evaluations."
"Get the recording link for interaction 'int_12345'."
"Show me all available evaluation forms."
Troubleshooting Five9 QM MCP Server with Vercel AI SDK
Common issues when connecting Five9 QM to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFive9 QM + Vercel AI SDK FAQ
Common questions about integrating Five9 QM 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 Five9 QM 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 Five9 QM to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.