How do I find my Umeng App Key and Master Secret?

Log in to the [Umeng portal](https://www.umeng.com/), select your application from the dashboard, and you will find your App Key and App Master Secret in the application settings under 'App Info'.

Does Umeng require different keys for iOS and Android?

Yes. Umeng typically uses separate App Keys for different platforms. Ensure you authorize the correct key depending on which platform's analytics or push notifications you wish to manage.

Can I cancel a push task through the agent?

Yes! Use the `cancel_push` tool with the specific task ID. Your agent will communicate with Umeng to stop the delivery of any pending notification broadcast.

Umeng / 友盟+ MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Umeng / 友盟+
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Umeng / 友盟+ through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "umeng": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Umeng / 友盟+, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Umeng / 友盟+ MCP Server

Empower your AI agent to orchestrate your mobile growth and engagement with Umeng+ (友盟+), the premier mobile infrastructure provider in China. By connecting Umeng to your agent, you transform complex push notification campaigns and deep analytical auditing into a natural conversation. Your agent can instantly send targeted push messages, retrieve real-time delivery status, monitor user retention trends, and even provide high-level application performance summaries without you ever needing to navigate the comprehensive Umeng portal. Whether you are conducting a growth audit or coordinating a cross-functional marketing blast, your agent acts as a real-time mobile operations assistant, keeping your data accurate and your users engaged.

LangChain's ecosystem of 500+ components combines seamlessly with Umeng / 友盟+ through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Push Orchestration — Send template-based or custom push notifications and retrieve real-time delivery and click status.
User Growth Auditing — Retrieve detailed metrics for active users, new registrations, and retention across any time period.
Behavioral Analysis — Browse custom event data and session duration statistics to identify user engagement patterns.
Task Management — List recent push tasks and cancel pending operations directly through the agent interface.
Performance Insights — Access high-level application summaries to monitor the health and growth of your mobile ecosystem.

The Umeng / 友盟+ MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Umeng / 友盟+ to LangChain via MCP

Follow these steps to integrate the Umeng / 友盟+ MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Umeng / 友盟+ via MCP

Why Use LangChain with the Umeng / 友盟+ MCP Server

LangChain provides unique advantages when paired with Umeng / 友盟+ through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Umeng / 友盟+ MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Umeng / 友盟+ queries for multi-turn workflows

Umeng / 友盟+ + LangChain Use Cases

Practical scenarios where LangChain combined with the Umeng / 友盟+ MCP Server delivers measurable value.

RAG with live data: combine Umeng / 友盟+ tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Umeng / 友盟+, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Umeng / 友盟+ tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Umeng / 友盟+ tool call, measure latency, and optimize your agent's performance

Umeng / 友盟+ MCP Tools for LangChain (10)

These 10 tools become available when you connect Umeng / 友盟+ to LangChain via MCP:

cancel_push

Cancel pending push task

get_active_users

Get active user count

get_app_summary

Get app analytics summary

get_duration_stats

Get session duration stats

get_event_data

Get custom event data

get_new_users

Get new user registrations

get_push_status

Check push task status

get_retention

Get user retention stats

list_push_tasks

List recent push tasks

send_push

Send push notification

Example Prompts for Umeng / 友盟+ in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Umeng / 友盟+ immediately.

"Send a broadcast push saying 'Flash Sale starts now!' to all users."

"Show me the active user metrics for today."

"What is the retention rate for users who joined last Monday?"

Troubleshooting Umeng / 友盟+ MCP Server with LangChain

Common issues when connecting Umeng / 友盟+ to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Umeng / 友盟+ + LangChain FAQ

Common questions about integrating Umeng / 友盟+ MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.