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How to Use the 8x8 Contact Center MCP in Google ADK

Feed live 8x8 Contact Center metrics directly into your Google ADK agents and BigQuery pipelines.

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Google ADK

Connect 8x8 Contact Center MCP to Google ADK

Create your Vinkius account to connect 8x8 Contact Center 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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Live Metrics for Gemini Agents

The `get_realtime_metrics` tool lets your Gemini-powered agent watch your contact center's pulse. It can see active calls, wait times, and agent availability in real time. With Gemini's long-context window, your agent can do more than just fetch data. It can hold an entire shift's worth of metrics in its context to identify developing trends or summarize performance without needing a separate database.

Enterprise-Scale Audits on GCP

Use `list_agent_interactions` to pull historical interaction data straight from 8x8. This is where the Google Cloud integration really shines. Your ADK agent can take that data and push it directly into a BigQuery table for long-term analysis. From there, you can connect it to Looker Studio or use it to train a custom classification model in Vertex AI. The agent acts as the bridge between your live operations and your data warehouse.

Connect Your 8x8 MCP Server to Google Cloud

The `list_queue_metrics` tool gives your agent access to historical queue performance. This MCP server is the secure link between your 8x8 account and your Google Cloud environment. Your agent can ask for data like "show me abandoned call rates for the 'Tier 1 Support' queue last quarter" and get structured results. You can even filter the tools available to the agent using the `tool_names` parameter for tighter control.

Setup guide

Set up 8x8 Contact Center 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. 1

    Install Google ADK

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

  2. 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. 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. 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 8x8 Contact Center 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="8x8 Contact Center_agent",
    model="gemini-2.0-flash",
    instruction="You have access to 8x8 Contact Center tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 8x8 Contact Center. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about 8x8 Contact Center MCP in Google ADK

You'll use the `McpToolset` class, providing your Vinkius server URL in the `StreamableHttpServerParameters`. Pass that toolset to your `LlmAgent`'s `tools` argument, and it's ready to go.
Yes. Your agent can use the `list_agent_interactions` or `list_queue_metrics` tools to get historical data. Then, you can use a separate BigQuery tool to write that data into a table for analysis.
The main benefit is the direct integration into the Google Cloud ecosystem. You can easily move real-time and historical 8x8 data into BigQuery or use it to inform agents that are also connected to your other GCP services.
No. Vinkius hosts and manages the server instance. You just subscribe, get a URL, and point your agent to it. There's no infrastructure for you to maintain.
Yes, your agent only gets read-only access to operational metrics. It sees things like call resolution metadata and queue statistics, not the call contents themselves. Vinkius isolates every request in a zero-trust environment, and your main 8x8 credentials are never exposed.

Start using the 8x8 Contact Center MCP today

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