How to Use the 2Chat MCP in Google ADK

Q: Can Gemini analyze WhatsApp group structures using 2Chat and Google ADK?

Absolutely. The agent uses listgroups to fetch active chats, allowing Gemini's massive context window to map out team structures and communication flows.

Connect Gemini models to WhatsApp via Google ADK to process long conversations and message clients directly.

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Connect 2Chat MCP to Google ADK

Create your Vinkius account to connect 2Chat 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 2Chat with Google ADK

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Ground Gemini reasoning with live WhatsApp data

Large context windows are useless without accurate inputs. This MCP Server lets your Gemini agents run `list_groups` to pull entire chat histories and feed them directly into Vertex AI pipelines for deep analysis. By combining Google ADK with these tools, your agent can cross-reference customer profiles in BigQuery before deciding to run `send_message` with a tailored response.

Clean outbound lists using Google ADK tools

Stop sending messages to dead numbers or landlines. Your pipeline can feed a list of contacts from your cloud database to `check_number` to filter out inactive accounts before launching a campaign. The integration runs directly within your existing enterprise architecture. You get clean, verified leads ready for automated follow-ups without spinning up separate verification microservices.

Automate group coordination from BigQuery events

When a new high-value lead registers in your database, your agent can instantly call `create_group` to loop in your sales reps. It uses `list_numbers` to find an available corporate account to host the chat. Since the ADK supports direct tool filtering, you can restrict your agent's access. Limit it to group creation tools during testing, then open up full messaging capabilities when you are ready to go live.

Setup guide

Set up 2Chat 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 2Chat 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="2Chat_agent",
    model="gemini-2.0-flash",
    instruction="You have access to 2Chat 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 2Chat. 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 2Chat MCP in Google ADK

Initialize the McpToolset using your HTTP MCP endpoint URL from Vinkius. Pass that toolset directly to your LlmAgent to let Gemini models call the WhatsApp actions.

Absolutely. The agent uses `list_groups` to fetch active chats, allowing Gemini's massive context window to map out team structures and communication flows.

Use the optional tool name filter in the ADK toolset setup. This lets you expose only `check_number` to analytical agents while keeping messaging tools locked down.

No. Vinkius hosts the MCP Server on a zero-trust sandbox, so your Google Cloud functions can query the WhatsApp API without managing extra container nodes.

Your communication data is processed on ephemeral runners that wipe themselves clean immediately after executing a tool. No message content is ever persisted on the host platform.

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