How to Use the MoeGo MCP in Mastra AI

Build complex grooming workflows in Mastra AI with automatic retries and conditional logic for your MoeGo operations.

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Connect MoeGo MCP to Mastra AI

Create your Vinkius account to connect MoeGo 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 MoeGo with Mastra AI

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Mastra AI Workflow Automation with MoeGo

Chain `list_appointments` and `create_appointment` into multi-step agent workflows. If a booking fails, Mastra handles the retry logic automatically. This keeps your operations running even when network blips occur. You define the flow, and the agent handles the execution sequence.

Conditional Grooming Logic

Use `get_business_settings` to drive branching paths in your agents. If the shop is closed, the agent can notify the customer instead of attempting a booking. This adds intelligence to your scheduling. It ensures your agents respect business rules without hard-coding every edge case.

Reliable Agent Tooling

Spread the full suite of MoeGo tools into your Mastra agent configuration with one command. Each tool is ready for immediate inclusion in your agent's toolkit. You gain full control over which tools your agents can use. This keeps your agent focused on specific grooming tasks while maintaining a clean codebase.

Setup guide

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

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

const result = await agent.generate(
  "List recent MoeGo 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 MoeGo. 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 MoeGo MCP in Mastra AI

Import the MCP client and spread the tools into your agent definition. Mastra automatically detects the transport and connects to your MoeGo data.

Yes. You can configure exponential backoff directly in your Mastra workflow. It ensures that transient failures don't break your scheduling process.

Yes. Enable the requireToolApproval setting to force a human check before the agent finalizes any booking or modification.

The connection uses ephemeral sessions. Your pet care data is accessed only when the workflow runs, and the environment is wiped afterward.

Yes. Since Mastra handles the workflow engine, you get logs for every tool call. You can track latency and success rates for every appointment booked.

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