How do I get a link to listen to a specific call recording?

You can use the 'get_recording_link' tool by providing the Interaction ID. The agent will return a secure, temporary URL that allows you to play back the audio file directly.

Can I see the structure of an evaluation form before submitting a score?

Yes! The 'get_evaluation_form' tool retrieves the full structure of any quality form, including questions and scoring logic, so you can ensure you have the right context for your evaluation.

Is there a way to track organization-wide quality trends?

Absolutely. Use the 'get_qm_summary' tool to retrieve high-level metrics and summary reports that highlight overall quality performance across your entire contact center.

Five9 QM MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: Five9 QM
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Five9 QM through Vinkius, pass the Edge URL in the `mcps` parameter and every Five9 QM tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Five9 QM Specialist",
    goal="Help users interact with Five9 QM effectively",
    backstory=(
        "You are an expert at leveraging Five9 QM tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Five9 QM "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Five9 QM becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Five9 QM tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Five9 QM MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Five9 QM

Why Use CrewAI with the Five9 QM MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Five9 QM through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Five9 QM + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Five9 QM for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Five9 QM, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Five9 QM tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Five9 QM against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Five9 QM MCP Tools for CrewAI (12)

These 12 tools become available when you connect Five9 QM to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Five9 QM + CrewAI FAQ

Common questions about integrating Five9 QM MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.