Zenedu MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Zenedu through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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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: {
"zenedu": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Zenedu Agent",
instructions:
"You help users interact with Zenedu " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Zenedu?"
);
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 Zenedu MCP Server
Connect your Zenedu account to any AI agent to automate your messenger marketing and sales funnels. This MCP server enables your agent to interact with bots, products, offers, and subscriber data directly.
Mastra's agent abstraction provides a clean separation between LLM logic and Zenedu tool infrastructure. Connect 6 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
- Bot Oversight — List all your messenger bots and their associated metadata
- Funnel Tracking — List and monitor sales funnels and automation flows for specific bots
- Commerce Management — Access product catalogs and marketing offers synchronized with your bots
- Order Visibility — Retrieve recent customer orders and transaction statuses
- Audience Insight — List and query subscribers to track growth and engagement
The Zenedu MCP Server exposes 6 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 Zenedu to Mastra AI via MCP
Follow these steps to integrate the Zenedu 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 6 tools from Zenedu via MCP
Why Use Mastra AI with the Zenedu MCP Server
Mastra AI provides unique advantages when paired with Zenedu through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Zenedu 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 Zenedu 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
Zenedu + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Zenedu MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Zenedu, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Zenedu as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Zenedu on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Zenedu tools alongside other MCP servers
Zenedu MCP Tools for Mastra AI (6)
These 6 tools become available when you connect Zenedu to Mastra AI via MCP:
list_bot_funnels
List all funnels for a specific bot
list_bot_offers
List all offers for a specific bot
list_bot_orders
List all orders for a specific bot
list_bot_products
List all products for a specific bot
list_bot_subscribers
List all subscribers for a specific bot
list_bots
List all messenger bots
Example Prompts for Zenedu in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Zenedu immediately.
"List all messenger bots in my Zenedu account."
"Show me the funnels for bot ID '12345'."
"List recent orders for my 'Main Funnel' bot."
Troubleshooting Zenedu MCP Server with Mastra AI
Common issues when connecting Zenedu to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpZenedu + Mastra AI FAQ
Common questions about integrating Zenedu 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 Zenedu with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
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 Zenedu to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.