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Five9 QM 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 Five9 QM through the 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: {
      "five9-qm": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Five9 QM Agent",
    instructions:
      "You help users interact with Five9 QM " +
      "using 12 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Five9 QM?"
  );
  console.log(result.text);
}

main();
Five9 QM
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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and Five9 QM tool infrastructure. Connect 12 tools through the 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

  • 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 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 Five9 QM to Mastra AI via MCP

Follow these steps to integrate the Five9 QM 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 Five9 QM via MCP

Why Use Mastra AI with the Five9 QM MCP Server

Mastra AI provides unique advantages when paired with Five9 QM through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Five9 QM 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 Five9 QM 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

Five9 QM + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Five9 QM MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Five9 QM, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Five9 QM 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 Five9 QM on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Five9 QM tools alongside other MCP servers

Five9 QM MCP Tools for Mastra AI (12)

These 12 tools become available when you connect Five9 QM to Mastra AI via MCP:

01

create_evaluation

Submit a new evaluation

02

get_evaluation

Get evaluation details

03

get_evaluation_form

Get form structure

04

get_qm_interaction

Get interaction metadata

05

get_qm_summary

Get QM summary report

06

get_recording_link

Get audio recording link

07

list_calibrations

List calibration sessions

08

list_evaluation_forms

List evaluation forms

09

list_evaluations

List agent evaluations

10

list_qm_agents

List evaluatable agents

11

list_qm_interactions

List recorded interactions

12

list_qm_users

List QM system users

Example Prompts for Five9 QM in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Five9 QM immediately.

01

"List the last 5 completed agent evaluations."

02

"Get the recording link for interaction 'int_12345'."

03

"Show me all available evaluation forms."

Troubleshooting Five9 QM MCP Server with Mastra AI

Common issues when connecting Five9 QM to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Five9 QM + Mastra AI FAQ

Common questions about integrating Five9 QM 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 Five9 QM to Mastra AI

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