How to Use the Five9 QM MCP in Google ADK

Q: Are Five9 QM calibration sessions visible to Google ADK?

Yes. Use listcalibrations to pull session data. The agent reviews these logs to ensure human evaluators stay aligned with the target metrics.

Q: Can I use Google ADK to trigger Five9 QM evaluations?

Yes, using createevaluation. Your agent submits the score, and the system logs it as a standard performance entry.

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Connect Five9 QM MCP to Google ADK

Create your Vinkius account to connect Five9 QM to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Five9 QM with Google ADK

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Automated scoring with Google ADK

Your agent uses `create_evaluation` to finalize performance scores after analyzing call transcripts. It pushes these results back into the system in real time. Calling `list_evaluation_forms` ensures your agent always uses the latest scorecard structure. It stays synced with company policies without you updating any code.

Deep interaction analysis for Google ADK agents

Your agent uses `get_qm_summary` to digest high-level performance reports across the call center. It translates raw data into clear insights for your team. By using `list_qm_interactions`, the agent filters through thousands of calls to find relevant cases. It isolates problematic interactions for immediate review.

Targeted agent coaching via MCP Server

Use `list_qm_users` to identify which supervisors or agents are currently active in the system. Your agent maps these users to their respective evaluation histories. With `get_evaluation`, your agent pulls specific details about past reviews. It uses this history to build a personalized coaching plan for each staff member.

Setup guide

Set up Five9 QM MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Five9 QM tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Five9 QM_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Five9 QM tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Five9 QM. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Five9 QM MCP in Google ADK

You mount the server to your agent's toolset. The agent then discovers and executes the Five9 QM functions as needed during execution.

Yes. Use `list_calibrations` to pull session data. The agent reviews these logs to ensure human evaluators stay aligned with the target metrics.

Yes, using `create_evaluation`. Your agent submits the score, and the system logs it as a standard performance entry.

Yes. You provide an endpoint token to the server to authenticate. This keeps your agent's connection secure.

We enforce strict isolation for every request. The server only processes interaction metadata, ensuring no sensitive customer audio is stored outside the Five9 environment.

Use it with your favorite AI tools

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