How to Use the Momence MCP in Mastra AI

Build reliable studio automation workflows with Mastra AI and the Momence MCP Server.

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…and any MCP-compatible client

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Connect Momence MCP to Mastra AI

Create your Vinkius account to connect Momence 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 Momence with Mastra AI

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Automated workflows for Mastra AI

Chain together complex studio operations using the workflow engine. If a member booking fails, your agent can use `list_bookings` to check status and trigger a retry or notify staff. Your business logic stays clean. You define the steps, and the agent handles the rest, ensuring your studio operations run even when you aren't watching.

Conditional studio management logic

Create agents that act on specific triggers like low attendance. By calling `list_sessions` and `list_teachers`, your agent identifies empty classes and proposes schedule adjustments. It's about proactive management. You set the rules, and the framework executes them, keeping your studio schedule optimized around the clock.

Error handling for studio data

Use automatic retries for critical calls to `get_member` or `list_memberships`. If the network blips, the framework manages the recovery so your agent doesn't lose its place. You avoid the headache of manual error checking. The integration ensures that every request to the server is handled with the reliability your studio needs.

Setup guide

Set up Momence 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 Momence 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: "momence-mcp-client",
  servers: {
    "momence-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Why Choose Vinkius

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Momence MCP in Mastra AI

Add the server URL to your Mastra agent definition. Once configured, you can call any of the ten tools directly within your step-by-step workflow logic.

Yes. You can script a sequence that searches for a member, checks their credits, and then processes a booking in one automated flow.

You can enable human-in-the-loop requirements for any tool call. This ensures a human reviews sensitive actions like booking updates before they hit your studio records.

It is built for production use with support for retries and backoff. The server handles high-volume requests without dropping connections.

Every interaction is scoped to your endpoint token. Your member names, visit logs, and credit balances remain strictly within your private agent environment.

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