How to Use the GeTui / 个推 MCP in Google ADK

Q: Can Google ADK filter which GeTui / 个推 tools are exposed?

You can use the toolnames parameter to restrict access. This lets you expose pushtosingle to a customer service agent while hiding the broadcast tools.

Connect Gemini to GeTui via Google ADK to run massive notification campaigns backed by your enterprise data.

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Connect GeTui / 个推 MCP to Google ADK

Create your Vinkius account to connect GeTui / 个推 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 GeTui / 个推 with Google ADK

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Execute cloud-scale MCP Server pushes

The GeTui MCP Server connects your Gemini models directly to China's largest push network. Your agent reads a user segment from BigQuery, formats the payload, and calls `push_to_list` to send the notifications. For system-wide alerts, it triggers `push_to_all` to reach every registered device instantly. Gemini's massive context window means you can dump thousands of user IDs into the prompt. The agent parses them, chunks the data, and maps them using `bind_user_alias`. You bypass manual CSV uploads entirely.

Filter targets with Google ADK

Checking device connectivity is a built-in operation via `get_cid_status`. Before your agent initiates a high-priority push, it verifies the target device is online and ready to receive. It can also pull `get_user_tags` to ensure the user matches the current marketing campaign criteria. If a user reports missing a notification, the agent investigates by running `query_user_alias`. It checks the exact binding state and cross-references it with your Vertex AI logs. The troubleshooting process becomes completely automated.

Ingest push metrics into Gemini

Tracking campaign success requires calling `get_daily_push_report` to pull the raw numbers. The agent retrieves the delivery counts, click rates, and failures directly from the API. It then feeds this data back into your Google Cloud analytics pipeline. Granular task tracking happens through `get_push_status`. When a batch push finishes, the agent checks the specific task ID to confirm completion. It also monitors overall platform health by requesting `get_app_user_stats` on a schedule.

Setup guide

Set up GeTui / 个推 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 GeTui / 个推 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="GeTui / 个推_agent",
    model="gemini-2.0-flash",
    instruction="You have access to GeTui / 个推 tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GeTui / 个推. 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 GeTui / 个推 MCP in Google ADK

Create a McpToolset using StreamableHttpServerParameters pointing to your Vinkius URL. Pass this toolset to your LlmAgent initialization.

You can use the tool_names parameter to restrict access. This lets you expose push_to_single to a customer service agent while hiding the broadcast tools.

The model easily holds massive arrays in its context window. It formats the data and executes push_to_list without dropping IDs or losing track of the task.

The agent receives the immediate HTTP response from the MCP Server. It can also follow up with get_push_status to check the final delivery state.

The server processes raw CIDs and push payloads through a zero-trust architecture. Authentication is handled entirely at the Vinkius edge, keeping your Google Cloud environment isolated from the underlying API credentials.

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