How to Use the Bird (Omnichannel Communication) MCP in Google ADK

Q: Does Bird (Omnichannel Communication) work with Google ADK long-context models?

Yes, Gemini models can ingest thousands of chat logs from listconversations without running out of memory. This lets the agent analyze long-term customer behavior before drafting a reply.

Connect Google ADK agents to Bird (Omnichannel Communication) to send SMS and WhatsApp messages using Gemini's 1M token context.

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Connect Bird (Omnichannel Communication) MCP to Google ADK

Create your Vinkius account to connect Bird (Omnichannel Communication) 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 Bird (Omnichannel Communication) with Google ADK

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BigQuery context injection for targeted SMS dispatch

This MCP Server exposes the `send_sms` tool to let Gemini contact customers directly from your Google Cloud environment. Because Google ADK integrates with BigQuery, your agent pulls historical customer lists, analyzes trends, and routes personalized messages in a single runtime loop. The model processes millions of tokens of customer history before deciding to trigger a message. This prevents generic spam and ensures every text contains highly relevant, context-aware information.

Long-context conversation tracking in Google ADK

Your agent uses the `list_conversations` and `get_message_details` tools to ingest entire chat histories into Gemini's active context window. Instead of summarizing old interactions and losing details, the agent reads months of raw WhatsApp and Telegram logs directly using this MCP integration. This native integration helps your enterprise support agents resolve complex disputes. The agent references specific, past messages without making database roundtrips or hallucinating facts.

Direct CRM mutations from Vertex AI pipelines

The `create_contact` and `delete_contact` tools allow your Vertex AI pipelines to modify your customer database on the fly. When a customer texts a cancellation request, the agent processes the intent and updates the record immediately. Google ADK manages these tool calls securely using standard Google Cloud access controls. You don't need to write custom API wrappers to sync your messaging channels with your core CRM.

Setup guide

Set up Bird (Omnichannel Communication) 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 Bird (Omnichannel Communication) 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="Bird (Omnichannel Communication)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Bird (Omnichannel Communication) tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

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Common questions about Bird (Omnichannel Communication) MCP in Google ADK

Instantiate the toolset with your Vinkius HTTP URL. Pass this toolset directly to your agent to let Gemini call tools like `send_omnichannel_message` natively.

Yes, use the tool filter in your toolset setup. You can limit the model to read-only actions like `get_balance` and `list_contacts` while hiding write operations.

Yes, Gemini models can ingest thousands of chat logs from `list_conversations` without running out of memory. This lets the agent analyze long-term customer behavior before drafting a reply.

The server routes requests directly to the messaging gateway. Google ADK schedules these calls asynchronously, preventing your pipeline from blocking while waiting for delivery receipts.

All transit data, including phone numbers and message content fetched via `get_contact_details`, is encrypted. Vinkius isolates the server execution, ensuring your Google Cloud credentials and customer records never leak to the public internet.

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