Zengain MCP Server for Mastra AIGive Mastra AI instant access to 10 tools to Get Analytics Summary, Get Health Score, Get Product, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Zengain through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Zengain app connector for Mastra AI is a standout in the Data Analytics category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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: {
"zengain": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Zengain Agent",
instructions:
"You help users interact with Zengain " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Zengain?"
);
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 Zengain MCP Server
Connect your Zengain (Nalpeiron Growth Platform) account to any AI agent and simplify your customer success and usage analytics workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Zengain 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
- Product Lifecycle — List all registered products and retrieve detailed configuration metadata
- User Engagement — Query product users, inspect their profiles, and calculate real-time health scores
- Usage Analytics — Get high-level analytics summaries and track custom events to monitor feature adoption
- KPM Tracking — Monitor Key Product Milestones to identify successful onboarding and churn risks
- System Monitoring — List configured webhooks to understand your integration data flow
The Zengain 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.
All 10 Zengain tools available for Mastra AI
When Mastra AI connects to Zengain through Vinkius, your AI agent gets direct access to every tool listed below — spanning customer-success, product-analytics, lead-scoring, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get analytics summary
Get customer health score
Get details for a specific product
Get details for a specific user
List tracking events
List Key Product Milestones
List Zengain products
List product users
List configured webhooks
Track a custom event
Connect Zengain to Mastra AI via MCP
Follow these steps to wire Zengain into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Zengain MCP Server
Mastra AI provides unique advantages when paired with Zengain through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Zengain 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 Zengain 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
Zengain + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Zengain MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Zengain, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Zengain as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Zengain on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Zengain tools alongside other MCP servers
Example Prompts for Zengain in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Zengain immediately.
"List all products in my Zengain account."
"What is the health score for user 'customer_456'?"
"Show me a summary of usage analytics for this month."
Troubleshooting Zengain MCP Server with Mastra AI
Common issues when connecting Zengain to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpZengain + Mastra AI FAQ
Common questions about integrating Zengain 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.