Umeng / 友盟+ MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Umeng / 友盟+ through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"umeng": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Umeng / 友盟+ Agent",
instructions:
"You help users interact with Umeng / 友盟+ " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Umeng / 友盟+?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Umeng / 友盟+ tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Umeng / 友盟+ MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Umeng / 友盟+ via MCP
Why Use Mastra AI with the Umeng / 友盟+ MCP Server
Mastra AI provides unique advantages when paired with Umeng / 友盟+ through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Umeng / 友盟+ without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Umeng / 友盟+ tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Umeng / 友盟+ + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Umeng / 友盟+ MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Umeng / 友盟+, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Umeng / 友盟+ as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Umeng / 友盟+ on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Umeng / 友盟+ tools alongside other MCP servers
Umeng / 友盟+ MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Umeng / 友盟+ to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Umeng / 友盟+ to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpUmeng / 友盟+ + Mastra AI FAQ
Common questions about integrating Umeng / 友盟+ MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Umeng / 友盟+ with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Umeng / 友盟+ to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.