Five9 QM MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Five9 QM as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="five9_qm_agent",
tools=tools,
system_message=(
"You help users with Five9 QM. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Five9 QM tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Five9 QM MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 12 tools from Five9 QM automatically
Why Use AutoGen with the Five9 QM MCP Server
AutoGen provides unique advantages when paired with Five9 QM through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Five9 QM tools to solve complex tasks
Role-based architecture lets you assign Five9 QM tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Five9 QM tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Five9 QM tool responses in an isolated environment
Five9 QM + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Five9 QM MCP Server delivers measurable value.
Collaborative analysis: one agent queries Five9 QM while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Five9 QM, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Five9 QM data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Five9 QM responses in a sandboxed execution environment
Five9 QM MCP Tools for AutoGen (12)
These 12 tools become available when you connect Five9 QM to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Five9 QM to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Five9 QM + AutoGen FAQ
Common questions about integrating Five9 QM MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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.
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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 AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.