How to Use the ProTexting MCP in Google ADK

Q: How do I configure ProTexting with Google ADK?

Install the package via pip. Initialize a McpToolset using the StreamableHttpServerParameters class with your endpoint URL. Pass that toolset directly to your LlmAgent to expose all the SMS and contact management functions.

Q: Can I restrict which ProTexting tools my Google ADK agent uses?

You can. The Google ADK allows you to apply a toolnames filter when setting up the toolset. You might expose listcontacts for a reporting agent while keeping sendbulk restricted to a dedicated marketing agent.

Q: How does Gemini handle ProTexting account limits in Google ADK?

Your agent runs getaccount to check available SMS credits before launching a massive campaign. If the balance is too low, the agent halts execution and alerts your team via Google Cloud Logging.

Q: Does this integration support multimedia messages?

It does. The agent uses the sendmms tool to push images or audio. You just need to ensure the media URLs are publicly accessible before the agent passes them to the ProTexting API.

Connect ProTexting to Google ADK and let Gemini execute SMS campaigns directly from your Vertex AI data.

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Connect ProTexting MCP to Google ADK

Create your Vinkius account to connect ProTexting to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup ProTexting with Google ADK

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Trigger ProTexting Campaigns from BigQuery Data

Enterprise teams store customer data in BigQuery and need a way to act on it. With this MCP Server, your Google ADK agent pulls segment lists from your warehouse and immediately calls `send_bulk` to push updates to those users. Gemini's massive token window means you can feed it thousands of rows of customer history. The agent processes that context, decides who needs a text, and uses `send_sms` to deliver personalized messages based on their past interactions.

Manage Enterprise Contacts via Google ADK

Keeping cloud databases synced with your SMS platform requires constant API polling. Instead, your Google Cloud agent uses `list_contacts` and `list_groups` to read the current state of your ProTexting directory. When a new user signs up through your Vertex AI pipeline, the agent fires `create_contact`. If they opt out, it immediately runs `delete_contact` to ensure strict compliance with your enterprise communication policies.

Monitor Carrier Status and Keywords

You need to know if your text blasts actually reach the target devices. The agent executes `get_message_status` through the MCP Server to pull delivery receipts and logs those results back into your Google Cloud infrastructure. For inbound campaigns, the agent calls `list_keywords` to see which shortcodes are currently active. It cross-references those active keywords with BigQuery conversion tables to calculate the exact ROI of your SMS spend.

Setup guide

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

Install the package via pip. Initialize a `McpToolset` using the `StreamableHttpServerParameters` class with your endpoint URL. Pass that toolset directly to your `LlmAgent` to expose all the SMS and contact management functions.

You can. The Google ADK allows you to apply a `tool_names` filter when setting up the toolset. You might expose `list_contacts` for a reporting agent while keeping `send_bulk` restricted to a dedicated marketing agent.

Your agent runs `get_account` to check available SMS credits before launching a massive campaign. If the balance is too low, the agent halts execution and alerts your team via Google Cloud Logging.

It does. The agent uses the `send_mms` tool to push images or audio. You just need to ensure the media URLs are publicly accessible before the agent passes them to the ProTexting API.

This server handles raw mobile numbers, SMS text contents, and account credit balances. The MCP connection encrypts this traffic in transit between your Google Cloud environment and ProTexting. Your Gemini models process the data within your VPC boundaries, preventing unauthorized external access.

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