How to Use the GeTui / 个推 MCP in Mastra AI
Build resilient, self-healing push campaign workflows using Mastra AI and GeTui.
Works with every AI agent you already use
…and any MCP-compatible client
Connect GeTui / 个推 MCP to Mastra AI
Create your Vinkius account to connect GeTui / 个推 to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Mastra AI Automated Retry Workflows
The `push_to_single` tool sends targeted notifications that Mastra AI workflows can monitor and retry on failure. If a push fails due to an inactive device, the workflow engine catches the error and executes alternative routing logic. You can configure Mastra to check `get_cid_status` before attempting a high-priority dispatch. This pre-flight check saves API quota and keeps your delivery pipelines clean during high-traffic events.
Dynamic Batching and Alias Resolution
The `query_user_alias` tool resolves database IDs to active GeTui Client IDs inside your automated steps. Mastra AI uses this tool to lookup device targets, then feeds the resulting list into `push_to_list` for bulk delivery. This MCP Server allows you to build complex multi-step campaign runs. The agent automatically handles the data transformation between your database schema and the push payload requirements.
Multi-Step Reporting Pipelines
The `get_daily_push_report` tool retrieves system-wide performance metrics that your Mastra agents can analyze. The workflow engine schedules this check daily, letting the agent process the figures and write them to your database. If the output from `get_app_user_stats` drops below a specific threshold, the workflow can trigger an alert step. This setup gives you a closed-loop monitoring system without writing custom cron jobs.
Set up GeTui / 个推 MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All GeTui / 个推 tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "getui-mcp-client",
servers: {
"getui-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "GeTui / 个推 Agent",
model: openai("gpt-4o"),
instructions: "You have access to GeTui / 个推 tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent GeTui / 个推 transactions"
);
console.log(result.text); 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 Mastra AI
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