How to Use the MessageBird MCP in Google ADK

Q: How do I configure Google ADK to connect with MessageBird?

You initialize McpToolset using your unique Vinkius HTTP endpoint URL. Pass this toolset into your LlmAgent configuration to expose tools like sendsms and listchannels to your Gemini model.

Q: Can I restrict which MessageBird tools Google ADK can access?

Yes, you can use the optional toolnames filter in the ADK setup to restrict exposure. For example, you can limit a support agent to only getmessage and listcontacts while blocking sending capabilities.

Connect Google ADK with MessageBird to trigger SMS dispatches and query contact lists directly from BigQuery.

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Connect MessageBird MCP to Google ADK

Create your Vinkius account to connect MessageBird 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 MessageBird with Google ADK

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BigQuery-driven SMS via Google ADK

Enterprise messaging systems often rely on database tables to target the right users. By combining Google ADK with this MCP Server, your Gemini agent can read a customer list from BigQuery and immediately trigger `send_sms`. The model evaluates customer data in its massive context window to draft personalized updates. It then executes the dispatch, updating your records once `get_message` confirms delivery.

Audit thousands of contacts in a single run

Gemini's million-token context window lets your agent analyze entire communication histories at once. The agent pulls massive lists using `list_contacts` and `list_messages` without running out of memory. It looks for trends in user engagement or opt-out patterns across your groups. If it finds stale data, it uses `get_group` to isolate those contacts for manual review.

Enterprise diagnostics with an MCP Server

Delivery failures cost money and hurt sender reputation. Your Google ADK agent can call `list_hlr` to check carrier routing details before executing high-volume campaigns. It verifies whether numbers are active and reachable in real-time. This diagnostic step ensures your budget is spent only on valid, active mobile connections.

Setup guide

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

You initialize `McpToolset` using your unique Vinkius HTTP endpoint URL. Pass this toolset into your `LlmAgent` configuration to expose tools like `send_sms` and `list_channels` to your Gemini model.

Yes, you can use the optional `tool_names` filter in the ADK setup to restrict exposure. For example, you can limit a support agent to only `get_message` and `list_contacts` while blocking sending capabilities.

The SDK manages concurrent tool execution smoothly, allowing Gemini to batch requests when calling `send_sms`. You can monitor execution times and resource consumption directly inside Vertex AI.

The SDK supports both, but Vinkius hosts the MCP Server as a managed HTTP service for easier scaling. This setup eliminates the need to run local Node or Python processes on your cloud instances.

Your API key and contact groups are stored securely in Vinkius, meaning your Google ADK runtime never exposes raw credentials. This MCP Server architecture protects your account balance by isolating sensitive carrier network logs and keeping keys completely out of your application environment.

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