How to Use the TextGrid MCP in Google ADK

Q: How does the Google ADK manage message history with TextGrid?

The agent uses listsmsmessages to retrieve all sent and received SMS content. This function is essential for grounding long-context reasoning in your Gemini models.

Q: Can the Google ADK check API health with TextGrid?

Yes, it can. Running checkapihealth confirms that the entire MCP Server connection to TextGrid is active and operational. This prevents agents from running against dead endpoints.

Q: What tools does the Google ADK use for account management with TextGrid?

It uses listapikeys to get a list of necessary credentials, and getaccountdetails retrieves your overall balance. These are core setup steps for any enterprise agent.

Q: Does the Google ADK support listing voice call history with TextGrid?

The agent accesses listvoicecalls. This gives you a structured record of every completed or failed voice attempt. You can feed this data into BigQuery for deep analysis.

Q: What type of data does the Google ADK touch regarding data privacy with TextGrid?

The server touches account profile and balance details via getaccountdetails. This includes financial information required to manage usage limits within your BigQuery environment.

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Connect TextGrid MCP to Google ADK

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Setup TextGrid with Google ADK

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Manage billing and usage records.

To keep things accurate, use `get_usage_statistics`. This tool lets your agent pull detailed cost reports. You can see exactly what services you're being charged for. It also checks account status with `get_account_details`, giving a clear snapshot of current credit and profile information.

Send structured SMS/MMS messages.

The agent sends texts or pictures by calling `send_sms_message`. This tool handles the complexity of global messaging standards. It makes sure your content gets delivered reliably. For quick history checks, you can pull a list of past interactions using `list_sms_messages`.

Verify phone numbers for compliance.

Before calling anyone, the agent runs through number availability. It uses `search_available_numbers` to find new lines or `list_account_addresses` to check regulatory addresses. If you need to confirm a current number is active, running `list_active_phone_numbers` confirms its status for immediate use.

Setup guide

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

The agent uses `list_sms_messages` to retrieve all sent and received SMS content. This function is essential for grounding long-context reasoning in your Gemini models.

Yes, it can. Running `check_api_health` confirms that the entire MCP Server connection to TextGrid is active and operational. This prevents agents from running against dead endpoints.

It uses `list_api_keys` to get a list of necessary credentials, and `get_account_details` retrieves your overall balance. These are core setup steps for any enterprise agent.

The agent accesses `list_voice_calls`. This gives you a structured record of every completed or failed voice attempt. You can feed this data into BigQuery for deep analysis.

The server touches account profile and balance details via `get_account_details`. This includes financial information required to manage usage limits within your BigQuery environment.

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