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GeTui / 个推 MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect GeTui / 个推 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
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: {
      "getui": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "GeTui / 个推 Agent",
    instructions:
      "You help users interact with GeTui / 个推 " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with GeTui / 个推?"
  );
  console.log(result.text);
}

main();
GeTui / 个推
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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 GeTui / 个推 MCP Server

Empower your AI agent to orchestrate your push notification infrastructure with GeTui (个推), the dominant CPaaS and developer services provider in China. By connecting GeTui to your agent, you transform complex device targeting, message broadcasting, and delivery auditing into a natural conversation. Your agent can instantly send targeted notifications to specific users, broadcast messages to your entire user base, retrieve real-time delivery and click statistics, and monitor user online status without you ever needing to navigate the comprehensive GeTui Developer Center. Whether you are automating verification flows or coordinating large-scale promotional alerts, your agent acts as a real-time messaging assistant, keeping your communication flow accurate and your user insights up-to-date.

Mastra's agent abstraction provides a clean separation between LLM logic and GeTui / 个推 tool infrastructure. Connect 10 tools through 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 targeted, list-based, or broadcast notifications with full support for custom payloads.
  • User Status Monitoring — Retrieve real-time online/offline status and associate custom aliases with Client IDs (CIDs).
  • Tag & Interest Auditing — Browse user tags to identify audience segments and interest patterns for refined targeting.
  • Delivery Analytics — Access real-time statistics for push tasks, including delivery counts, display rates, and clicks.
  • Growth Insights — Monitor application-wide statistics for new and active users across specific dates.

The GeTui / 个推 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 GeTui / 个推 to Mastra AI via MCP

Follow these steps to integrate the GeTui / 个推 MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from GeTui / 个推 via MCP

Why Use Mastra AI with the GeTui / 个推 MCP Server

Mastra AI provides unique advantages when paired with GeTui / 个推 through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add GeTui / 个推 without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every GeTui / 个推 tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

GeTui / 个推 + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the GeTui / 个推 MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query GeTui / 个推, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed GeTui / 个推 as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query GeTui / 个推 on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using GeTui / 个推 tools alongside other MCP servers

GeTui / 个推 MCP Tools for Mastra AI (10)

These 10 tools become available when you connect GeTui / 个推 to Mastra AI via MCP:

01

bind_user_alias

g., username) with a Client ID. Bind alias to user

02

get_app_user_stats

Get application user stats

03

get_cid_status

Check user online status

04

get_daily_push_report

Get daily push report

05

get_push_status

Check push task status

06

get_user_tags

Get user tags

07

push_to_all

Broadcast push to all users

08

push_to_list

Send push to multiple users

09

push_to_single

Send push to single user

10

query_user_alias

Query user alias

Example Prompts for GeTui / 个推 in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with GeTui / 个推 immediately.

01

"Send a push notification to CID '1a0918c...' with title 'Urgent Update'."

02

"Check the online status for user CID '9920a1b...'."

03

"Show me the push report for yesterday."

Troubleshooting GeTui / 个推 MCP Server with Mastra AI

Common issues when connecting GeTui / 个推 to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

GeTui / 个推 + Mastra AI FAQ

Common questions about integrating GeTui / 个推 MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect GeTui / 个推 to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.