How to Use the GrowingIO MCP in Mastra AI

Q: Can I branch my workflows based on funnel conversion rates?

Yes. You can use the getfunnel tool to check conversion percentages and write a conditional branch in Mastra that fires a Slack alert if conversion drops below a specific threshold.

Build automated analytics workflows that handle failures gracefully using Mastra AI and GrowingIO.

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Connect GrowingIO MCP to Mastra AI

Create your Vinkius account to connect GrowingIO 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.

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Setup GrowingIO with Mastra AI

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Automate Campaign Alerts with Mastra AI

The `list_ads` tool retrieves active campaigns so your Mastra AI workflows can monitor performance thresholds autonomously. If a campaign's metrics drop below your target, the workflow automatically triggers a retry or branches to alert your growth team. Because Mastra AI handles conditional logic natively, you can pair this with `get_metrics` to build a self-healing monitoring loop. The agent checks the numbers, retries if the API rate-limits, and only escalates when a real issue is found.

Clean Segment Syncs via MCP Server

The `get_segment_users` and `list_segments` tools expose your Chinese user databases to your automated pipelines. Mastra AI can run scheduled jobs that check these segments daily, pulling user lists to sync with external marketing channels. Using this MCP Server setup ensures that your automated syncs don't fail when the network gets spotty. Mastra's built-in exponential backoff handles any transient network hiccups between your server and GrowingIO automatically.

Self-Healing Schema Audits

The `list_variables` and `list_log_sources` tools let your agent audit your tracking configuration without human intervention. The Mastra AI agent pulls the current variable list, compares it against your database schema, and flags mismatches. This keeps your analytics clean without manual checks. The agent runs the audit as a background workflow, using the workflow engine to log discrepancies and notify your engineering team if an event format changes.

Setup guide

Set up GrowingIO MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. 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's tools object. All GrowingIO tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "growingio-mcp-client",
  servers: {
    "growingio-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "GrowingIO Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to GrowingIO tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent GrowingIO transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GrowingIO. 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 GrowingIO MCP in Mastra AI

Mastra AI uses its built-in workflow engine to execute automatic retries with exponential backoff. If the GrowingIO MCP Server encounters an API limit while running `get_metrics`, the agent pauses and retries without failing the workflow.

Yes. You can configure Mastra AI to use its human-in-the-loop feature, requiring an admin approval before the agent calls `get_segment_users` to export sensitive lists.

You deploy your Mastra AI agent to any cloud provider using a single command, passing your Vinkius MCP Server endpoint as an environment variable to allow the agent to query `get_project_info` instantly.

Yes. You can use the `get_funnel` tool to check conversion percentages and write a conditional branch in Mastra that fires a Slack alert if conversion drops below a specific threshold.

All credentials and API keys used by the GrowingIO MCP Server are encrypted at rest and injected only during runtime inside our zero-trust infrastructure. Your campaign lists and performance metrics pass through memory without ever touching persistent disk storage.

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