How to Use the Umeng / 友盟+ MCP in Google ADK

Q: Can I list past campaigns using Umeng / 友盟+ and Google ADK?

Yes, you'll use listpushtasks to retrieve a history of push tasks. This data feeds directly into your long-context reasoning within the agent.

Act on massive datasets and run complex campaigns with Google ADK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Umeng / 友盟+ MCP to Google ADK

Create your Vinkius account to connect Umeng / 友盟+ 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.

GDPR Free for Subscribers

Setup Umeng / 友盟+ with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage user engagement metrics.

The agent uses Umeng / 友盟+ to execute marketing actions via `send_push`. This tool allows you to programmatically send notifications. You can also cancel any pending task using the `cancel_push` function.

Analyze deep performance data.

Need detailed analytics? Run `get_event_data` to pull custom event metrics directly into your BigQuery workflow. Furthermore, you can get session lengths with `get_duration_stats`. This makes the agent powerful for enterprise reporting.

Track user acquisition and retention.

You can check how many people are signed up using `get_new_users` or calculate long-term engagement metrics with `get_retention`. These tools provide the core numbers that feed into your Google Cloud agent logic.

Setup guide

Set up Umeng / 友盟+ 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 Umeng / 友盟+ 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="Umeng / 友盟+_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Umeng / 友盟+ 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 Umeng / 友盟+. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Umeng / 友盟+ now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Umeng / 友盟+ MCP in Google ADK

The system integrates natively with BigQuery and Vertex AI. Your agents can act on the data coming from Umeng / 友盟+, treating it like any other enterprise resource.

Yes, you'll use `list_push_tasks` to retrieve a history of push tasks. This data feeds directly into your long-context reasoning within the agent.

You get several key performance indicators, including active users (`get_active_users`) and a summary of app analytics using `get_app_summary`. These are designed for large-scale cloud consumption.

Since it's built for enterprise agents, the toolset supports connecting to your existing infrastructure. It handles structured data transfers reliably within the Gemini ecosystem.

The server deals with user analytics data, allowing you to track custom events through `get_event_data`. This lets your agents process exactly what they need while maintaining security boundaries.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript