How to Use the Infobip (Omnichannel Communications) MCP in Google ADK

Q: How do I configure Infobip (Omnichannel Communications) within a Google ADK project?

You initialize McpToolset using your Vinkius HTTP server parameters. Pass this toolset directly to your LlmAgent to expose tools like dispatchsmsmessage to your Gemini models.

Q: How does this MCP integration protect customer phone numbers and email addresses?

Every phone number and email address handled by dispatchhtmlemail is processed in an isolated Vinkius container. Your API credentials and customer payloads are never cached or exposed to external networks.

Connect your Google ADK agents to Infobip to trigger SMS, WhatsApp, and CRM updates directly from your BigQuery data.

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Connect Infobip (Omnichannel Communications) MCP to Google ADK

Create your Vinkius account to connect Infobip (Omnichannel Communications) 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 Infobip (Omnichannel Communications) with Google ADK

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Scale Omnichannel Messaging via Google ADK MCP Server

Gemini's massive context window lets your agent analyze months of customer interactions stored in Google Cloud. By connecting this MCP Server, your agent can instantly act on those insights by triggering `dispatch_sms_message` or `dispatch_whatsapp_message` to specific customer segments. The toolset integrates directly with your existing Google ADK pipelines. You can feed structured customer lists from BigQuery into your agent, which then runs `get_person_details` to verify contact records before executing a targeted outreach campaign.

Manage Enterprise Audiences in People CDP

Large-scale customer databases require constant maintenance. Google ADK agents can use `list_crm_people` to pull entire audiences, compare them with your internal Google Cloud databases, and identify discrepancies. Once the agent finds gaps, it uses `upsert_crm_person` or `update_person_name` to synchronize the records. If an enterprise customer requests data removal, the agent executes `delete_crm_person` to keep your system compliant with regional privacy laws.

Track Multi-Channel Delivery with BigQuery-Driven Agents

Your agent can continuously monitor the performance of your communication campaigns. By calling `get_delivery_reports` and `list_sms_logs`, the Google ADK agent pulls real-time delivery metrics directly into its reasoning loop. The agent can then format this raw log data and write it back to Google Cloud storage for deep analytics. If a WhatsApp message fails, the agent can immediately pivot and use `dispatch_html_email` to ensure your customer receives their transactional alert.

Setup guide

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

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Common questions about Infobip (Omnichannel Communications) MCP in Google ADK

You initialize `McpToolset` using your Vinkius HTTP server parameters. Pass this toolset directly to your `LlmAgent` to expose tools like `dispatch_sms_message` to your Gemini models.

Yes, you can use the optional tool name filter in the ADK toolset. This allows you to restrict the agent to reading tools like `get_person_details` while blocking access to write functions.

Gemini can hold massive amounts of history, allowing the agent to analyze raw logs from `list_sms_logs` alongside deep customer profiles before choosing the best channel on the MCP Server.

This integration supports both Stdio and HTTP transport protocols. For production Google Cloud deployments, the HTTP transport is recommended to maintain serverless scalability.

Every phone number and email address handled by `dispatch_html_email` is processed in an isolated Vinkius container. Your API credentials and customer payloads are never cached or exposed to external networks.

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