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How to Use the 1msg.io MCP in Google ADK

Connect Gemini's million-token context to 1msg.io using the Google ADK to analyze and drive WhatsApp conversations.

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Google ADK

Connect 1msg.io MCP to Google ADK

Create your Vinkius account to connect 1msg.io 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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Feed WhatsApp histories into Gemini long-context windows

The `list_messages` tool pulls raw WhatsApp conversation histories directly into your Google ADK agent. This MCP Server allows Gemini to analyze months of customer chats to extract sentiments or trends in a single turn. This deep analysis lets your agent make highly informed decisions before calling `send_message` to reply. You get context-aware replies that reference past interactions without needing a separate vector database.

Sync WhatsApp templates with BigQuery via Google ADK

The `list_templates` tool retrieves all pre-approved WhatsApp templates so your Google ADK agent can map them against customer segments stored in BigQuery. Your agent queries your warehouse, matches user profiles, and selects the optimal template structure. Once matched, the agent executes `send_template` to dispatch the message. This creates a closed-loop system where marketing data in Google Cloud directly triggers targeted WhatsApp outreach.

Dispatch media assets via this MCP Server

The `send_file` tool allows your Google ADK agent to transmit PDFs, images, and videos stored in Google Cloud Storage directly to WhatsApp users. Your agent resolves the GCS file URI and pipes it directly into the tool payload. You can verify the transmission status immediately by checking `get_status` right after the send call. This ensures your media-heavy workflows, like sending invoices or product guides, run reliably across your enterprise cloud infrastructure.

Setup guide

Set up 1msg.io 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 1msg.io 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="1msg.io_agent",
    model="gemini-2.0-flash",
    instruction="You have access to 1msg.io 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 1msg.io. 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 1msg.io MCP in Google ADK

Install google-adk and use the McpToolset class targeting your Vinkius HTTP endpoint. Pass this toolset directly into the tools list of your LlmAgent to make the WhatsApp functions available to Gemini.
Yes, you can use the tool_names filter when initializing your McpToolset. This lets you restrict the agent to specific actions, like only allowing `list_messages` while blocking outgoing send tools.
The ADK handles asynchronous tool execution, allowing Gemini to queue multiple `send_message` or `send_template` calls. You can monitor execution speed and rate limits directly through your Vertex AI console logs.
Your agent can run the `get_status` tool at the start of a workflow to check the WhatsApp channel state. If the channel is disconnected, the agent can write an alert to your Google Cloud logging system instead of attempting to send messages.
Your authorization keys and WhatsApp status logs are encrypted in transit and processed within an ephemeral execution environment. Vinkius prevents any data logging or retention, keeping your WhatsApp channel access completely isolated from other workflows.

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