How to Use the Texter MCP in Google ADK

Q: Can I list all possible chat labels using Texter and Google ADK?

Yes. You use listtexterlabels to retrieve a full catalog of available labels, which helps your agent categorize the conversations after outreach.

Q: What's the best way to handle message flow with Texter and Google ADK?

First, use listtexterchannels to identify target channels. Then, orchestrate the messaging sequence using sendtextermessage or a template function.

Q: How does the MCP Server help with chat management when paired with Google ADK?

You can resolve or close an interaction by calling resolvetexterchat. This ensures your agent accurately updates the status of the conversation in your system.

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Connect Texter MCP to Google ADK

Create your Vinkius account to connect Texter 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 Texter with Google ADK

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Automate messaging using Google ADK

Your agent sends automated texts by calling `send_texter_message`. This is ideal for executing complex follow-up sequences based on data held in BigQuery. The tool allows your LlmAgent to treat the MCP Server as an integrated action, letting it handle message content and routing automatically.

Manage chats via the Google ADK

Want to see what channels are open? Use `list_texter_chats` to pull a list of all active conversations. The agent can then use `get_texter_chat_details` on any specific chat ID. This gives your enterprise workflow the necessary visibility to decide if an interaction needs attention.

Send structured outreach with Google ADK

For WhatsApp or Messenger, the `send_texter_template` tool handles it. This is crucial when you need to guarantee that your automated drip campaign follows platform guidelines. The agent can reliably dispatch these formatted messages without breaking the existing workflow.

Setup guide

Set up Texter 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 Texter 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="Texter_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Texter tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Texter MCP in Google ADK

The LlmAgent integrates via a toolset approach. It exposes the MCP Server's functions, allowing your agent to call `send_texter_message` as if it were a native method.

The server handles messaging data, specifically records created by the `list_texter_messages` tool and messages sent via `send_texter_message`.

Yes. You use `list_texter_labels` to retrieve a full catalog of available labels, which helps your agent categorize the conversations after outreach.

First, use `list_texter_channels` to identify target channels. Then, orchestrate the messaging sequence using `send_texter_message` or a template function.

You can resolve or close an interaction by calling `resolve_texter_chat`. This ensures your agent accurately updates the status of the conversation in your system.

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