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How to Use the 8x8 MCP in Google ADK

Connect your Gemini enterprise agents to 8x8 with the Google ADK MCP Server.

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Google ADK

Connect 8x8 MCP to Google ADK

Create your Vinkius account to connect 8x8 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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Control 8x8 messaging via Google ADK

Dispatch text-based updates to your team using `send_chat_message` inside your Gemini-powered agent. It maps your business logic directly to your communication channels. Check if your messages hit the mark by querying `get_sms_status`. You get real-time feedback on delivery within your agent's reasoning chain.

Integrate 8x8 verification into Google ADK agents

Run identity checks by calling `send_verification` as part of your agent's task list. It turns a manual security step into a background task for Gemini. Validate the result with `check_verification` to confirm the user is who they claim to be. This keeps your agent's actions restricted to verified personnel.

Track 8x8 usage in Google ADK

Keep tabs on your spending by using `get_account_balance` inside your agent framework. It provides a quick way to audit costs without leaving your workspace. Use `check_8x8_status` to ensure your connection remains healthy. Your agent detects outages before your users do.

Setup guide

Set up 8x8 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 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_agent",
    model="gemini-2.0-flash",
    instruction="You have access to 8x8 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. 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 MCP in Google ADK

You initialize an McpToolset object using your endpoint URL. Pass this toolset into your LlmAgent configuration to make the functions available to your model.
Yes. You can use the tool_names argument to restrict which 8x8 functions your agent can actually call.
You can. Since your agent can access both the 8x8 tools and your cloud data, you can build logic that logs communication outcomes directly to your warehouse.
It supports both Stdio and HTTP. Most users prefer HTTP for remote connections, but Stdio is available for local testing.
We enforce strict isolation. Your API credentials are never exposed to your agents; they are managed by the Vinkius sandbox, ensuring only authorized requests hit your account.

Start using the 8x8 MCP today

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We've already built the connector for 8x8. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
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